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    Does explicitly teaching leadership skills increase student persistence in STEM fields?
    Poster on leadership skills presented at the 2019 BioQUEST & QUBES Summer Workshop
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    DCS 105 Calling Bull F24 Schedule
    Schedule overview for Bates College Course DCS 105 Calling Bull
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    The struggle is valid: Increasing student science identity and quantitative skills
    This poster outlines the approach to our research on science identity and quantitative skills. Our approach includes an established educational researcher to assure that our design, approach,...
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    Working with Datasets in R swirl
    The goal of this lesson is to learn how to import datasets into R, understand variable types, make adjustments to variables, perform basic calculations, and begin data visualization. The exercise...
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    Introduction to Genome Browser: What is a Gene?
    In this module, we will use a web-based visualization tool called a Genome Browser to explore the structure of a eukaryotic gene, and obtain a basic understanding of how this information is...
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    Visualization: Quantitative reasoning via image analysis, networks, topology, generative models, and 3D rendering
    Resource from the 2015 BioQUEST Summer Workshop
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    Fostering Student to Student Collaboration Across Institutions in a Protein Centric CURE
    Collaboration is an essential component of research because it allows scientists to share expertise and tackle difficult scientific questions. While many undergraduate science courses include...
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    Unwrapping Enzyme Kinetics
    Enzyme rates and kinetics are key components used by biochemists to understand how enzymes function. However, students often find it difficult to understand how these experiments are performed and...
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    Inexpensive Cell Migration Inquiry Lab using Zebrafish
    Cell migration is an important and interesting topic that has the potential to engage students in cell biology by its intrinsically active nature. However, most ways to investigate cell migration...
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    Angiosperm Diversity in Pollination Systems
    This activity is designed for upper-level undergraduates and graduate students engaged in ecology and biodiversity sustainability studies. This activity will explore how plant-pollinator...
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    Downloading and Visualizing Project Data from the iNaturalist Database
    In this activity you will learn how to create a query, export, and download data from iNaturalist; load data into R; explore pollinator-plant interactions with R, and create heat map, bipartite,...
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    The Human Microbiome Biodiversity in Health and Disease
    The students will analyze the human gut and vaginal microbiomes in healthy and diseased states using diversity of bacteria as determined by 16SrRNA sequence.
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    Yeti or not: Do they exist?
    Through this 4-part bioinformatics case study, students will be led through the forensic analysis of putative Yeti artifacts based on published findings.
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    CyVerse: Scalable Image Informatics
    Poster on cyberinfrastructure for the machine learning ere presented at the 2020 BIOME Institute: Cultivating Scientific Curiosity
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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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    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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    One-way ANOVA in R with swirl
    One-way analysis of variance (ANOVA), following the text in Chapter 5 of Beckerman et al. (2017) Getting started with R: an introduction for biologists, 2nd edition.
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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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