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    Faculty Mentoring Networks: Community Professional Development for the Digital Age
    Poster for BioQUEST Summer Workshop 2020. What is an FMN? What is it like to be in one? What are the benefits?

    Keywords: fmn

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    REMNet Tutorial, R Part 2: Importing Your Microbiome Data into R 5.3.19
    Video on importing data into R from the Research Experiences in Microbiomes Network
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    REMNet Tutorial, Excel Part 6: Making Microbiome Column Charts 5.3.19
    Video on creating column charts in Excel from the Research Experiences in Microbiomes Network
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    Investigating Primary Productivity
    In this 3-part investigation, students discuss, make predictions, and work with data about global scale net primary productivity.
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    Investigating human impacts on stream ecology: locally and nationally
    TIEE Module- How does nutrient pollution impact stream ecosystems locally and nationally?
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    DataCamp
    DataCamp: The Easiest Way to Learn Data Science Online
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    How the Scientific Method Works
    An episode dedicated to learning about how we explore our world using the scientific method.
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    Changes in Lake Ice: Ecosystem Response to Global Change
    This is an FMN participant modification of the TIEE module "Changes in Lake Ice: Ecosystem Responses to Global Change," authored by Robert Bohanan, Marianne Krasny, and Adam Welman in 2005.
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    2014-John_Cimbala-Dynamic System Response
    In this learning module, we discuss the dynamic system response of sensors and their associated electronic circuits.
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    2001-Knisley-Kerley-Using data to motivate the models used in introductory differential equations
    In this paper, the data itself is used to motivate mathematical models in introductory mathematics courses. In doing so, various regression and optimization techniques are illustrated.
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    1997-Bonnie_Shulman-Using Original Sources to Teach the Logistic Equation
    This Module uses original data, diagrams, and texts from three original sources to develop the logistic model of growth in natural systems with limited resources.
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    Implicit Bias in Data Visualization (BIOME 2022 presentation)
    We want to build cooperative spaces where students can improve the quality of their work in iterative ways. However, are we sure that students will rate each other in unbiased ways. We will take...
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    CyVerse: Scalable Image Informatics
    Poster on cyberinfrastructure for the machine learning ere presented at the 2020 BIOME Institute: Cultivating Scientific Curiosity
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    Cleaning Biodiversity Data: Excel
    Access and clean an open source polar bear dataset using Excel.
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    Writing Clean Code in R Workshop
    When working with data, you often spend the most amount of time cleaning your data. Learn how to write more efficient code using the tidyverse in R.
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    Adaptation of Investigating human impacts on stream ecology: locally and nationally
    TIEE Module- How does nutrient pollution impact stream ecosystems locally and nationally?
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    Introduction to R with Biodiversity Data
    Students will learn R basics while downloading biodiversity data from multiple data repositories. This module will walk students through installing R, navigating R,writing reproducible scripts in...
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    Box-of-Lessons Review, Fall 2022 - YouTube
    This video described the working group activities for BIOME Institute 2022 - Fall working group
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    BCEENET: Connecting digitized natural history collections with course-based undergraduate research experiences
    Biological Collections in Ecology and Evolution Network (BCEENET) brings together undergraduate educators, natural history collections professionals, researchers, and data experts to support the...
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    Are you teaching biostatistics with R? Suggestions to help you as work with your students.
    Teaching students how to code and analyze data in R is important for the fields of biology and ecology. Olivia Tabares and the Ecological Forecasting Education Working Group created this resource...
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