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    CyVerse Tutorials for NEON Data Science Institute 2018
    Resource for conducting data intensive research on CyVerse
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    National Institute for STEM Evaluation and Research (NISER)
    Poster on program evaluation presented at the 2018 QUBES/BioQUEST Summer Workshop
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    Improving Civic and Scientific Literacy through Scaffolded Thematic Classroom Research Experiences
    Poster on encouraging civic and scientific literacy presented at the 2018 QUBES/BioQUEST Summer Workshop
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    Bio+: Integration of Biology Principles and Application in Cross-Disciplinary Curricula
    Poster on two cross-disciplinary courses at Olin College presented at the 2018 QUBES/BioQUEST Summer Workshop
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    An evolution curriculum designed around understanding the rise and spread of drug-resistant pathogens
    Poster on teaching concepts in evolution and data science skills in an upper level Biology elective at Spelman College presented at the 2018 QUBES/BioQUEST Summer Workshop
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    Terrestrial Trophic Cascades & Population Structure
    In this activity, students will use data from natural parks to examine trophic cascades.
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    Transpiration
    In this lab, students will examine differences between C3 and C4 plants in their transpiration rates.
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    Seed Dispersal in Tropical Forests - implementation at a small, Primarily Undergraduate Institution
    In this activity, students use data from published studies to understand patterns of seed dispersal and apply these ideas to the design of a conservation area.
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    Climate of Change (Unit 5: Systems@Play) in nonmajors Environmental Science
    I implemented Unit 5 of the "Climate of Change" module into two weeks of my nonmajors Environmental Science course to cover the concepts of atmospheric science, climate change, and data...
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    Food Chain Dynamics In A Simple Ecosystem
    In this lab, students will work with a simple algae/brine shrimp environment to learn about food chains and population dynamics. It was implemented with limited alteration for an Introductory...
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    Using Systems Thinking in Introductory Biology Courses
    The Systems Thinking module (Units 1-3) was utilized in two separate introductory biology courses, General Biology II Lab and The Living Environment online course.
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    Using Climate of Change in a Non Majors Sustainability Course
    The Climate of Change module was implemented in my Introduction to Environmental Sustainability course. We concluded the semester with an in depth examination of climate change, which includes how...
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    The Carbon Cycle, Climate Change, and Feedback Loops
    I combined material from the Carbon, Climate and Energy Resources Module and the Changing Biosphere Module to help students understand climate change, the carbon cycle, and feedback loops in my...
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    Biogeography of plant-associated fungi: who lives where and why?
    This dataset of fungal communities associated with the leaves an endemic Hawaiian tree provides students opportunities to explore relationships between environmental variables and microbial...
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    Have fish assemblages recovered from the legacy of acid rain?
    This module provides a framework for upper-level ecology students to learn about limiting factors for stream fish diversity, using data from Shenandoah National Park and gaining skills in...
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    Using DNA Subway to Analyze Sequence Relationships
    This is a bioinformatics exercise using the DNA Subway Blue Line, a user-friendly pipeline of bioinformatics tools, to analyze a collection of mosquito DNA bar-code sequences.
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    Intro to DNA Barcoding
    This is a classroom tested introductory lesson & activity to introduce DNA Barcoding and DNA Subway Blue Line. It is for novices and will fit into a 30-45 min lecture or lab class period.
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    Intro to DNA Subway Blue Line
    This is a classroom tested introductory lesson & activity to introduce DNA Barcoding and DNA Subway Blue Line. It is for novices and will fit into a 1 hr 50 min lecture or lab class period.
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    Do urban yards serve as a refuge for native land snail species?
    This module contains a series of take-home activities to prepare students to analyze their own dataset collected in lab.
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