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    Snapshot Serengeti Online Lab
    Snapshot Serengeti is a fully online inquiry-based lab that uses real camera-trap data from Serengeti National Park in Tanzania to explore themes of tropical ecology and animal behavior.
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    Healing the scars: Tropical rainforest carbon cycling. Does it matter which tree species you plant?
    This online module explores how differences in traits of tropical tree species translate into differential effects on the carbon cycle, integrating ecological information across scales and the...
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    Wildlife Crossings in Costa Rica: Are wildlife crossing structures effective in mitigating roadkill mortality on tropical highways?
    Meet Jack Ewing, an ecotourism pioneer in Costa Rica who fought to safeguard wildlife from roadkill mortality caused by enlargement of a major highway. This module presents the topic of road...
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    SNAPSHOT SERENGETI: Analyzing Wildlife Ecological Relationships in an upper-level Ecology course
    Two assignments were created to develop skills in ecological hypothesis testing, data analysis and interpretation using the Snapshot Serengeti and Gorongosa camera trap data and graphical...
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    Walkabout: An Easy to Use, Experiential Learning Activity for Applying Abstract Concepts to the Real-World
    Students can have difficulty recognizing examples of course concepts in the real-world. They particularly struggle with phenomena that are ambiguously defined, have mimics, or are hard to...
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    Module M.5 Linear mixed-effects models
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...
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    Module M.1 R basics for data exploration and management
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...
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    Introduction to Primate Data Exploration and Linear Modeling with R
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology research students on data management and statistical...
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    Module M.8 Survival analysis
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...
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    COVID-19 Spread NetLogo ABM
    This project aimed to utilize agent-based modeling in NetLogo to create a simulation of COVID-19 spread in a traditional college classroom. The model allows for an evaluation of different...
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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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    Module M.7 Generalized linear mixed-effects models
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...
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    Module M.6 Generalized linear models
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...
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    Module M.4 Simple linear regression analysis
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...
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    Module M.3 Visualizing data with ggplot2
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...
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    Module M.2 Descriptive statistics
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...
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    Learning How to Make “Good Enough” Estimations
    The ability to estimate physical quantities is a useful skill that can help develop critical thinking and scientific literacy. This lesson provides an accessible way to teach students how to...
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    ICABL: An Inclusive Community for the Assessment of Biochemistry and Molecular Biology (BMB) Learning (RCN-UBE Introduction)
    ICABL is an inclusive and collaborative community that supports the professional development of biochemistry and molecular biology scientist-educators committed to the enhancement of student...
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    The (STEM)2 Network - Sustainable, Transformative Engagement across a Multi-Institution and Multidisciplinary STEM Network (RCN-UBE Introduction)
    Enhance undergraduate STEM education by promoting new and strengthening existing collaborations among biology, chemistry, and math faculty at 2- and 4-year institutions; and support faculty in...
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    1-104A-T-InfectionRisk-ModelingScenario
    This project is designed to examine differences between the exponential and logistic growth models in biology and how to apply these models in solving epidemic questions and comparing to actual...
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