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    An Adaptation of "Lichens in Diverse Landscapes" for BIO 3400 Ecology at Greensboro College
    This resource includes a lichen data analysis lab that I adapted for students in BIO 3400 Ecology, an upper level in person course at Greensboro College that met during the Fall 2020 semester.
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    Re-Envisioning Culture Network: A Syllabus Guide
    The Re-Envisioning Culture Network Syllabus aims to honor Black identity and culture while acknowledging the barriers that Black undergraduate students face through definitions, art, storytelling,...
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    QB@CC Poster for NABT 2020
    This is a poster presentation at the 2020 NABT Annual PD Conference. This poster describes the goals of QB@CC project, progress in the first year and an update on the upcoming events.
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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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    Student and Faculty Tools for Generating High-Quality Phage Annotations
    Phage genome annotation requires collaboration between faculty and their student research team. This set of resources provides tools to assist both students and faculty in the evaluation and...
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    Cell Collective: Learning biology with modeling and simulations
    Cell Collective is an online, research-grade modeling platform adapted to engage students in creating and simulating dynamic models of biological processes.
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    Drugging SARS-CoV-2
    This case study leads students through the process of proposing a drug for a novel protein. The Mpro protease of SARS-CoV-2 is explored in detail within the PDB. Aligns with first semester...
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    Investigating human impacts on stream ecology: Scaling up from Local to National with a focus on the Southeast
    Adaptation of the "TIEE Module- How does nutrient pollution impact stream ecosystems locally and nationally?" specifically to include information on the SE (particularly Atlanta, GA).
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    The Effect of Climate Change on Butterfly Phenology
    In this module, students explain the importance of collections in scientific research, manipulate data in a spreadsheet program, create properly plotted and labeled graphs, analyze data to test...
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    Introduction to Data Management, Life History, and Demography
    Learning Goals: • explain importance of data management • identify elements of an organized data sheet • create & manipulate data in a spreadsheet • calculate vital statistics using life...
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    Coding Club: A Positive Peer-Learning Community
    Free and self-paced tutorials and courses for learning to code out of the University of Edinburgh
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    Introduction to Genome Annotation
    This exercise is an adaptation of the Annotation Lesson by Rosenwald et al. It introduces the use of bioinformatics tools to extract information from genome databases. It is a basic lesson on...
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    Island Biogeography
    The students will practice the basic code to test MacArthur and Wilson’s (1967) Island Biogeography model, focusing on how island size, distance, and perturbation affect species numbers.
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    An Introduction to Biodiversity Databases and Specimen Images
    In this module, students will be introduced to some biodiversity data resources and how to search for and download herbarium specimen images. They will be asked to think critically about the...
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    Learning with All Your Senses: Mathematical Manipulatives Enhance Student Comprehension of Biological Models
    Handout for a session presentation on kinesthetic learning at the 2019 BioQUEST & QUBES Summer Workshop
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    Biobyte 1 - Where are we in the data science landscape?
    This short activity can be used to introduce the NAS Data Science For Undergraduates report's definition of data acumen and engage participants in a self assessment of how they connect with those...
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    Using IF-AT (Immediate Feedback Assessment Technique) Forms for Collaborative Activities
    Presentation on IF-AT Forms at the 2019 BioQUEST & QUBES Summer Workshop
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    Species Range Over Space and Time
    In this module, students use data from natural history collections to look at range shifts related to climate variables over different time periods.
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    Exploring the functionality of R
    Students work with example data to generate a length-weight plot and use lm() to obtain regression coefficients. Base plot functions are used to plot both the data and the regression line.
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    Testing Goodness of Fit with the Chi-Square
    This is a MathBench module written for students to use in a self-study mode. It uses a narrative structure, humor, and everyday examples to step the learner through the mathematical principles...
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