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    Statistics with epidemiology of COVID-19
    Introduction into heat maps, non-parametric t-test and GIF (optional) in R using an original dataset on COVID-19 infections from different counties of New Jersey, USA. Suitable for students who...
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    Exploring USGS streamflow data with dataRetrieval and Swirl
    This Swirl lesson walks through how to retrieve, view, and visually analyze streamflow and water quality data from the National Water Information System (US Geological Survey).

    Keywords: tool:swirl

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    Lichens in Your Local Landscape
    This project uses Lichens to connect students with their local environmental air quality. Through a short lab session, students assess lichens growing on trees on their campus. They then use class...
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    All About Cod For Grade 2
    This activity uses data from The Cod's Tale by Mark Kurlansky to engage students in summarizing data in a table and bar graph.
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    BioSkills Guide
    The BioSkills Guide comprises program- and course-level learning outcomes for the Vision and Change core competencies that elaborate what general biology majors should be able to do by the time...
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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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    Value of Mistakes. Making Mistakes Using R
    This module allows students to frame mistakes and frustrations during their first introduction to R in terms of improved learning and growth mindset.
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    Figure of the Day: Identifying Ambiguity and Biases in Data Figures
    The adaptation focuses on presenting figures with all the information in their axes. However, such figures present a medium level of quality to encourage students to discuss conceptually in groups...
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    Exploring the Introduction of Genetic Variation by Random Mutation: Avida-Ed Lab Book Exercise 1
    An introductory activity introducing the role of random mutation in generating genetic variation using the Avida-ED simulation.
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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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    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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    Communicating with Data: Digital Data Resources
    Students access, clean, configure, and standardize a dataset and create a relevant and scientifically valid data visualization to communicate science.
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    Population Ecology in Swirl: Estimating Population Sizes
    The students will learn to estimate population sizes and consider assumptions of mathematical models and their applicability to the ecology of an organism/population

    Keywords: RSwirl

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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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    Earth Analytics in Python Course
    Earth analytics is an intermediate, multidisciplinary course that addresses major questions in Earth science and teaches students to use the analytical tools necessary to undertake exploration of...
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    Get Started With GIS in Open Source Python Workshop
    There are a suite of powerful open source python libraries that can be used to work with spatial data. Learn how to use geopandas, rasterio and matplotlib to plot and manipulate spatial data in...
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    Writing Clean Code in R Workshop
    When working with data, you often spend the most amount of time cleaning your data. Learn how to write more efficient code using the tidyverse in R.
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    Earth Analytics in R Course
    Earth analytics is an advanced, multidisciplinary course that addresses major questions in Earth science and teaches students to use the analytical tools necessary to undertake exploration of...
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