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    Exploring the Lotka-Volterra Competition Model using Two Species of Parasitoid Wasps
    Experiment included in Teaching Issues and Experiments in Ecology (TIEE) Volume 2
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    Two-Species Model
    These two Excel worksheets simulate the population growth of two interacting species. In isolation, each species grows logistically, but interaction effects between species may limit or enhance...
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    Modeling Two Species Interactions Educational Module
    This set of files comprises an educational module for use in college-level ecology courses. It focuses on exploring two species interactions (mutualism, competition, and predator-prey dynamics)...
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    Interspecific Competition: the Lotka-Volterra Model
    This module introduces the Lotka-Volterra Model in the context of understanding interspecific competition. It is intended for an introductory biology audience.
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    That Vertebrate Ate What Exactly?
    During the course of this lesson, students will analyze CT scan data and observe bycatch (or an unknown discovery) captured during the scanning process of vertebrates.
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    Competition under the Sea: Exploring the competitive interaction between native and non-native seagrasses in the Caribbean
    A mini-case study that uses real-world data to explore the competitive interaction among seagrasses.
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    javaFOODWEB
    More than 100 food web matrices (multiple predators/prey Excel worksheets) are included with the javaFOODWEB tool.
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    Make Your Move: Interpreting graphs of pollinator behavior
    In this lesson, students interpret graphs of pollinator movement behavior. Then, students view and reflect on an interview with community ecologist Dr. Suann Yang., who collected the data that they...
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    Linear Models and Linear Mixed Effects in R: Tutorial 1
    The first of two tutorials that introduce you to linear and linear mixed models.
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    Hidden Markov Model
    Hidden Markov models are a set of mathematical tools that can be used to draw inferences about genomic and evolutionary processes.
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    List of models in which observed patterns are Important
    Supplemental material for ABM
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    Modeling: A Primer - The crafty art of making, exploring, extending, transforming, tweaking, bending, disassembling, questioning, and breaking models
    Explore how to use, analyze, and criticize some important and historically influential models in biology in this text only module.
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    Continuous Growth Models
    This Excel worksheet compares user-input growth data with predictions under linear, exponential, and logistic models of growth. Introduces concepts of statistical analysis that can be additionally...
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    Optimal Foraging Theory
    This module introduces the optimal foraging strategy in the context of understanding competition and coexistence among species. It is intended for an introductory biology audience.
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    Two-Way ANOVA
    In this lesson, students will learn the necessary statistical terms to understand two-way ANOVA, how to visualize their data, how to perform two-way ANOVA and interpret their results, and how to...
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    Laboratory exercises on microbial growth, horizontal gene transfer, competition and evolution
    Simple laboratory exercises to reinforce student learning when performed in conjunction with NetLogo simulations.

    Keywords: microbiology

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    Seed Dispersal in Tropical Forests
    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. This was applied through the lens of...
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    Investigating the footprint of climate change on phenology and ecological interactions in north-central North America
    The module was used in lab following lecture material on pairwise interactions in ecology (emphasizing consumption, competition, mutualism), and parallel to community ecology (emphasizing food web...
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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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    The impact of diversifying and humanizing science role models on student attitudes and interest in science careers
    We introduced diverse and humanized scientist role models into data literacy instruction and quantified changes in student attitudes towards science. We found that the impact of science role models...
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