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    Using Natural History Collection Data in Your CURE: BLUE BIOME 2020
    This is the report for the BLUE working group from the Biome Institute 2020. It reflects our group's efforts and products related to CUREs and Natural History Collection Digital Data.
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    Intro to Data Types and Graphing Lab
    This is the third lab in an Introductory Physical Geography/Environmental Studies course. It introduces students to different data types (qualitative vs quantitative), basic statistical analyses...
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    Basic Statistics
    The students will practice identifying the appropriate basic statistical tests when given a scenario and learn how to run and interpret those statistical tests in R.
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    Digital Laboratory Framework via Canvas for LIFE courses at Colorado State University
    The Life Lab Revisions team has piloted a Canvas-based approach to building scientific competencies in labs.
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    Integrating digitized biodiversity data exploration into the undergraduate biology curriculum
    Poster on the Biodiversity Literacy in Undergraduate Education (BLUE) project presented at the 2020 BIOME Institute: Cultivating Scientific Curiosity
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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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    My Twin Sister Case Study
    A young boy wonders why his twin sister can roll his tongue, but he cannot. Case centers on meiosis.
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    Cleaning Biodiversity Data: Excel
    Access and clean an open source polar bear dataset using Excel.
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    Modules Ready or Adaptable for Online Learning: Google Sheet
    A dynamic database of modules discoverable on QUBES that are ready or adaptable for online learning. Anyone can use or contribute to this database.

    Keywords: modulesWorksheet

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    Teaching Population Dynamics with Data and HHMI BioInteractive
    Presented at NABT 2019, we demonstrate how the Population Dynamics Click & Learn resource can be customized for any organism - using the Lionfish invasion as an example
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    Ethics of Metabolic engineering
    This is an ethical reflection for students on an issue in metabolic engineering and the potential for "home-brew" morphine. The case study asks students to reflect on material in the linked...
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    Ethics in synthetic genomics
    This is an ethical reflection for students on an issue in genome engineering and the synthesis of potentially infectious viruses. The case study asks students to reflect on material in the linked...
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    Ethics of Gene Editing
    This is an ethical reflection for students on an issue in gene editing. The case study asks students to reflect on material in the two linked articles. Also included is the grading rubric.
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    Targeting Infected Cells for Immune Defense
    This animation shows how a cell infected by a virus signals cytotoxic T cells to destroy itself.
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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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    The Chi-Square Test
    This module introduces how to determine whether observation is significantly different from expectation in the context of understanding Chi-square Test. It is intended for an introductory biology...
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    Teaching logistic population growth and ecological modelling
    The lesson is designed to 1) teach students about the concept of logistic population growth, growth rates, and carrying capacity and 2) provide a basic introduction to ecological modeling and...
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    Lesson I - Introduction to Genome Solver
    Genome Solver began as a way to teach undergraduate faculty some basic skills in bioinformatics; no coding or scripting is required. Part I is the Introduction to the Genome Solver Project.
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    Statistical Exploration of Climate Data
    In this module the students will learn some basic concepts in statistical thinking about data, with emphasis on exploratory data analysis.
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    A Very Basic Tutorial for Performing Linear Mixed Effects Analyses: Tutorial 2
    The second of two tutorials that introduce you to linear and linear mixed models. This tutorial serves as a quick boot camp to jump-start your own analyses with linear mixed effects models.
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