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    Cleaning Data with R and the Tidyverse in Swirl
    The overall goal is to help students learn common data cleaning procedures on a dataset once they’ve collected measurements and before they are able to start their analysis. This swirl lesson is...
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    Using Data Science Skills and Digitized Natural History Collections Data to Investigate Ecological and Evolutionary Principles in Introductory Biology Courses
    Session presentation Biodiversity Literacy in Undergraduate Education project at the 2019 BioQUEST & QUBES Summer Workshop
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    Prioritizing your Data Science Curriculum
    This is the summary powerpoint of the Monday session at the BioQUEST / QUBES 2019 Summer Workshop including the description of the student data project on height change overnight.
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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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    A Walk Through the Woods
    Data driven curriculum module from Dryad Digital Repository
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    Survivorship in the Natural World
    Data driven curriculum module from Dryad Digital Repository
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    Remote Sensing of Plants and Topography in R (Project EDDIE) for Advanced GIS class
    Students will explore different possible abiotic drivers of plant growth, defined as greenness and height. In the final step, students will analyze data from around the United States and consider...
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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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    Introduction to Data Management and Metadata using NEON aquatic macroinvertebrate data
    This lesson focuses on understanding metadata, the data about the data, using aquatic macroinvertebrate abundance and species information from a variety of NEON sampling locations.
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    Biodiversity Literacy in Undergraduate Education (BLUE): Building standards and resources for using collections data in the classroom
    Abstract for poster on using collections data presented at the 2019 BioQUEST & QUBES Summer Workshop
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    Data Management Adaptation: Correlating Forest Community Dynamics to Climate
    Students use vegetation structure data from the National Ecological Observatory Network to understand necessary steps of data management from data collection to data analysis by correlating...
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    Bacteria to Brains in Backyard Coyotes: An Interdisciplinary Pedagogical Case Study
    Our interdisciplinary pedagogical case study explores the differences between rural and urban coyotes at the levels of organismal and community ecology. The focus is on how coyotes’ gut...
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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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    Calling Bullshit DCS 105 Bates College Data Visualization Activity Slides
    This is a slide deck containing all in-class data visualization activity slides for the course DCS 105 - Calling Bullshit at Bates College.
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    Saving Endangered Species: Zoos, Museums and Biodiversity Data
    Meet Sinlan (Sheila) Poo who works with amphibians at the Memphis Zoo. Learn about Sinlan's research in applied conservation and how they use biodiversity data to study endangered species.
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    Sorting through the Data
    Meet Thomas McElrath, a insect collection manager at the Illinois Natural History Survey and beetle researcher. Tommy explains the value of data standards while discussing beetles and variations...
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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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    2015-Heiko_Enderling-Integrating experimental data to calibrate quantitative cancer models
    For quantitative cancer models to be meaningful and interpretable the number of unknown parameters must be kept minimal. We focus on a tumor hierarchy of cancer stem and progenitor non-stem cancer...
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    1-017-DiseaseSpread-ModelingScenario
    Using a grid and m&m candies, we simulate the spread of disease. Students conduct the simulation and collect data to estimate parameters (in several ways) in a differential equation model for the...
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    1-047a-CondensationOptimization-ModelingScenario
    We seek to optimize a condensation process which is modeled by a simulation using the random motion of 200 particles in a 50 by 50 square in which a particle bounces off the two vertical and top...
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