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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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    Vegetation Greening: A Snapshot from the Andean Tropics
    This online module explores how satellite images are used to study vegetation greenness and, using Ecuador as an example, demonstrates how tropical vegetation experienced increased greenness...
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    High technology to measure forest carbon stocks: How can advanced remote sensing improve biomass quantification in the Brazilian Amazon?
    A case study on the estimation of aboveground biomass using advanced remote sensors (LiDAR and hyperspectral) in the Brazilian Amazon. Students explore remote sensing (RS) data and compare RS-based...
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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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    Healing the scars: Implementing an online module about tropical rainforest carbon cycling in an undergraduate majors ecology course
    This resource provides a guide to classroom implementation of a Gala module focused on tropical carbon cycling. I adapted the module to include a discussion of the importance of carbon cycling in...
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    Healing the scars: A tropical rainforest carbon cycling module implemented in a Systematic Botany course focused on the Brazilian Caatinga flora
    This resource describes my experience in implementing this OCELOTS module on tropical rainforest carbon cycling in a Systematic Botany course for undergraduate majors in Biology at Pernambuco...
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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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    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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    Fatty Acid Induction of Lipid Droplets in Cancer Cells
    There is a growing need for the development and communication of cell culture-based laboratory activities specifically designed for undergraduate students. This multi-week laboratory activity...
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