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    Spreadsheet Data Analysis Tutorial Series
    This series of self-paced tutorials show how to analyze data using a spreadsheet program.
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    1-005B-ChemDataCollection-ModelingScenario
    A chemistry graduate student is collecting data on a chemical reaction and does a poor job of collecting the data. Indeed, he only collects the data at the start and end of a number of three minute...
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    3-016-FallingCoffeeFilters-ModelingScenario
    We are given data on the time and position of a stack of coffee filters as it falls to the ground. We attempt to model the falling mass and we confront the different resistance terms and models.
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    3-099-PullBack-ModelingScenario
    We guide students through the development of an empirical model for the velocity and distance traveled of a simple pull-back toy. Students can record videos and extract data using their own...
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    Quantifying and Visualizing Campus Tree Phenology
    Large enrollment courses present a challenge for instructors who want to engage students in authentic science practices that fit the recommendations of Vision & Change. Our lesson provides a...
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    Data on Dead Zones and a Scientist Spotlight Featuring Benjamin Negrete, Jr.
    In this lesson, students plot data and interpret graphs of the metabolic responses of fish to hypoxic conditions. Then, students view and reflect on an interview with fish ecophysiologist Benjamin...
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    Cleaning Biodiversity Data: A Botanical Example Using Excel or RStudio
    Access and clean an open source herbarium dataset using Excel or RStudio.
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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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    Demography from physical cemeteries, "virtual cemeteries," and census data
    Laboratory experiment included in Teaching Issues and Experiments in Ecology (TIEE) Volume 8. Learning objective: Students will learn how to create life tables and survivorship curves using data...
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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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    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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    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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