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    Choosing healthy data for healthy relationships: how to use 5-point summaries, box and whisker plots, and correlation to understand global health trends.
    This module utilizes a user-friendly database exploring data selection, box-and-whisker plot, and correlation analysis. It also guides students on how to make a poster of their data and conclusions.
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    REMNet Tutorial, R Part 3: Creating Alpha Diversity Plots in R 5.2.19
    Video on creating alpha diversity plots in R from the Research Experiences in Microbiomes Network
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    Mystery box puzzle for model based reasoning
    This is a computer based problem solving activity that I use to engage introductory biology students with discussions about model based reasoning.
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    Pesticide-Driven Bee Mortality: An Introduction to Survival Analysis in R
    In this lesson, students will receive an introduction to survival analysis in R utilizing data on bee mortality caused by pesticide exposure. In their code, students will assess survivability,...
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    Interpreting one-factor ANOVA in R with swirl
    Interpreting One-Factor Analysis of Variance (ANOVA)
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    Box-of-Lessons Review, Fall 2022 - YouTube
    This video described the working group activities for BIOME Institute 2022 - Fall working group
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    Checking Normality in R with swirl
    How to use the "three-prong" approach to check for normality
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    Fitting Exponential and Logistic Growth Models to Bacterial Cell Count Data
    In this activity, students will model a noisy set of bacterial cell count data using both exponential and logistic growth models. For each model the students will plot the data (or a linear...
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    Phage Comparative Genomics Lab Manual
    A lab manual containing detailed instructions for several bioinformatics tools (dot plots, Phamerator maps, phylogenetic trees, and gene content similarity), all of which enable students to perform...
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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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    Statistical Exploration of Climate Data
    In this module the students will learn some basic concepts in statistical thinking about data, with emphasis on exploratory data analysis.
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    Wind and Ocean Ecosystems (Project EDDIE)- adapted to provide greater autonomy for students in an upper level class
    This module adaption focuses on the interplay between winds, ocean upwelling, and marine productivity. Students are able to select and download their own data and compare results among different...
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    Wind and Ocean Ecosystems (Project EDDIE)
    This module introduces students to the concepts of Ekman transport, eastern boundary currents, and upwelling, while learning how to find a location on a map using latitude and longitude, how to...
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    Prosecutor’s Fallacy and Mammograms Case Study
    An introduction to Prosecutor’s Fallacy, and False Positives/Negatives. By Dr. Diaz Eaton, Bates College, for use in DCS 105A, and inspired by Calling Bull & Calculated Risks.
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    Ingestion of Microplastics by Coral
    QUBES lesson on ingestion of microplastics by coral. Lesson will give environmental background and then use R for hands-on statistical analyses, followed by critical thinking questions.
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    Climate-Induced Shifts in California Butterflies
    A module in which students generate and test hypotheses about butterfly species’ response to climate change in the Central Valley and Sierra Nevada Mountains of northern California using publicly...
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    Quantifying The Drivers and Impacts of Natural Disturbance Events – The 2013 Colorado Floods
    This lesson focuses on ways that scientists identify and use data to understand ecological disturbance events using data from five public datasets. The main lesson focused on interpretation of...
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