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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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    Teaching Cancer Biology Through a Lens of Social Justice
    The biology classroom is not separate from the greater context of society; social issues can and should be presented in connection with the content. Here we present an example of antiracist...
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    Investigating the Function of a Transport Protein: Where is ABCB6 Located in Human Cells?
    One of the challenges of teaching Cell Biology is helping students understand important research methods used to study cells.  The goal of understanding cell biology methods is especially...
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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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    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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    Breaking Bricks: A Hands-On Model of Enzyme Kinetics and Inhibition
    Enzyme kinetics and the impacts of inhibitors on the enzyme's maximal velocity and ability to bind substrates are important topics in cell biology and biochemistry. However, these topics can be...
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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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    Nanoparticles and Shrimp: An Interdisciplinary Lab Series in Chemistry and Biology for Undergraduate Engineering Students
    The parallels between engineering and science are vast, as both disciplines apply theory and inquiry to solve complex problems. In order to prepare students for interdisciplinary careers in STEM,...
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    Using Raw Sequence Data to Analyze Tumor Suppressor Mutations
    Learning to identify DNA sequence variants from raw sequencing data (electropherograms) is a basic molecular biology skill with applications to basic research and clinical practice. Yet learning to...
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    Outside the Norm: Using Public Ecology Database Information to Teach Biostatistics
    Biology students’ understanding of statistics is incomplete due to poor integration of these two disciplines. In some cases, students fail to learn statistics at the undergraduate level due...
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    A Short Laboratory Module to Help Infuse Metacognition during an Introductory Course-based Research Experience
    A core competency identified in Vision and Change for undergraduate biology students is the Ability to Apply the Process of Science. Here, we describe a three-week laboratory module for students in...
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    Antibiotic Resistance Genes Detection in Environmental Samples
    Our aim is to provide an authentic research experience for undergraduate students in a variety of biology courses through collaboration between a four-year university and a community college. This...
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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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