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    Chapter 3: Visualizing data
    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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    A flexible, multi-week approach to plant biology - How will plants respond to higher levels of CO2?
    To help introductory biology students understand how plants will respond to higher levels of CO2, we have created a multi-week module consisting of a series of four related laboratory lessons....
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    Teaching Data Viz and Communication as an Undergraduate Biology Course: Assignments and Projects
    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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    REMNet Tutorial, Excel Part 1: Accessing Your Microbiome Data 5.3.19
    Video on accessing microbiome data from the Research Experiences in Microbiomes Network
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    Data Nuggets Resources
    Search Current Data Nuggets

    Keywords: DataNuggets

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    Data is the New Science - Modified and combined with Following the Data Module
    In this module, students will be introduced to some emerging biodiversity data resources. They will be asked to think critically about the strengths and utility of these data resources and apply...
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    Building Trees: Introducing evolutionary concepts by exploring Crassulaceae phylogeny and biogeography
    Teaching evolutionary theory is foundational for all biological sciences and a key aspect of overall science literacy. The conceptual framework for understanding evolution relies on thinking...
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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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    Data Science as a Superpower
    Presentation on data science education given at the 2019 BioQUEST & QUBES Summer Workshop
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    Introducing Students to Data Science
    Presentation on data science at the 2019 BioQUEST & QUBES Summer Workshop
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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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    CRISPR in the Classroom Network - Bringing CRISPR-Cas9 technologies to the undergraduate classroom: an undergraduate instructors' network (RCN Introduction)
    Our RCN-UBE seeks to develop a national network for the development and implementation of experiential-based course modules for undergraduates centered around CRISPR-Cas9 technology through...
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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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    Integrating Manipulatives and Animations to Visualize Holliday Junctions
    The complex molecular architecture of Holliday junctions is often challenging for undergraduate biochemistry students to conceptualize. In particular, they have difficulty translating from...
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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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    Data Ethics
    Data ethics and the use of digital data
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