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    Using genomic data and machine learning to predict antibiotic resistance: a tutorial paper
    Antibiotic resistance is a global public health concern. Bacteria have evolved resistance to most antibiotics, which means that for any given bacterial infection, the bacteria may be resistant to...
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    A Customizable Inquiry-Based Statistics Teaching Application for Introductory Biology Students
    Building strong quantitative skills prepares undergraduate biology students for successful careers in science and medicine. While math and statistics anxiety can negatively impact student learning...
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    Marsh Madness: Using Video Games and a Case Study to Explore Food Webs and Ecosystem Services in Carpinteria Salt Marsh Reserve
    As the complexity and interconnectedness of our world increases, we are continually expected to be capable of complex, non-linear thinking in order to successfully tackle and solve the challenges...
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    Snapshot Serengeti Faculty Mentoring Network, Summer 2022
    The goal of our summer 2022 FMN was to develop a client-side interactive dashboard that allowed students to visualize and analyze data from the Snapshot Serengeti camera-trap research project.
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    Central Dogma, Dictionaries, and Functions: Using Programming Concepts to Simulate Biological Processes
    Technologies like next-generation sequencing, proteomics, and high-throughput phenotyping have transformed the way we do biology. There is a continued need for scientists with computational skills...
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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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    Using the QUBES platform and NEON faculty mentoring networks to build, adapt, and publish data-driven open educational resources
    This video provides an overview of the NEON Data Education Faculty Mentoring Networks and an example of published QUBES resource implementation in the classroom.

    Keywords: NEON FMN

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    Cleaning Biodiversity Data: A Botanical Example Using Excel or RStudio
    Access and clean an open source herbarium dataset using Excel or RStudio.
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    Mosquito Vector Ecology of the East Coast using NEON
    This data module examines the relationship between mosquito vector ecology and climate across the east coast of the United States. The module is designed to merge core concepts in ecology with...
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    Introduction to Version Control and Git Workshop
    Learn how to use version control with Git to work collaboratively and back up your work.
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    Earth Analytics Bootcamp Course
    The Earth Analytics Bootcamp is a three-week introductory-level course taught by instructors in Earth Lab and is a part of the Professional Certificate in Earth Data Analytics - Foundations at CU...
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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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    Quantifying The Drivers and Impacts of Natural Disturbance Events – The 2013 Colorado Floods
    This lesson focuses on ways that scientists identify and use data to understand ecological disturbance events using data from five public datasets. The main lesson focused on interpretation of...
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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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    Computational Biology using R
    This is an introductory level course on computational biology.
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    BIO103R: Bio 103 and 104 Labs in R at URI
    GitHub repository for Bio 103 and 104 Labs in R at University of Rhode Island

    Keywords: R

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    CyVerse Tutorials for NEON Data Science Institute 2018
    Resource for conducting data intensive research on CyVerse
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    Quantifying The Drivers and Impacts of Natural Disturbance Events – The 2013 Colorado Floods
    This lesson focuses on ways that scientists identify and use data to understand ecological disturbance events using data from five public datasets. The main lesson focused on interpretation of...
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