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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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    Learn biotechnology, biophysics and business through scientific thinking and innovation
    Scientific, leadership and innovation skills are also an integral framework of the curriculum. All of them together or individually are important for enhancement of knowledge, critical thinking,...
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    2018-Winkle-Igoshin-Bennett-Josic-Ott-Modeling_Mechanical_Interactions_in_Growing_Populations_of_Rod-Shaped_Bacteria
    Here, we present an agent-based model that allows growing cells to detect and respond to mechanical interactions.
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    Environmental Injustice: When the Grass is Greener on the Other Side
    Environmental pollution is a global threat that is especially prevalent in heavily industrialized and urbanized areas. Pollution can be found in many forms, such as natural and synthetic pollutants...
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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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    Teaching Data Viz and Communication as an Undergraduate Biology Course: Syllabus and Resources
    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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    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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    The Avocado Lab: An Inquiry-Driven Exploration of an Enzymatic Browning Reaction
    Typical biochemistry labs exploring basic enzyme activity rely on costly, time-consuming protein purification and rarely explore enzyme function in situ. Further, complex purification procedures...
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    DNA Detective: Genotype to Phenotype. A Bioinformatics Workshop for Middle School to College.
    Advances in high-throughput techniques have resulted in a rising demand for scientists with basic bioinformatics skills as well as workshops and curricula that teach students bioinformatics...
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    Data Ethics
    Data ethics and the use of digital data
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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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    Phenology publications
    Collection of modifications to TIEE phenology module from Data Discovery FMN

    Keywords: phenology

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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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    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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    Data Visualization
    This is an introduction to the idea of data visualization and the importance of presenting data for understanding.
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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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