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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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    Phenology Trends and Climate Change in Minnesota (Project EDDIE): A focus on American elm
    In this module, students will practice answering a specific question about how climate change has affected flowering date in American elm trees.
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    Investigating the ecological value of migratory fishes on stream ecosystems in southern Appalachia
    Using the Ecological Society of America’s Four-Dimensional Ecology Education (4DEE) framework, students apply ecological concepts such as energy flow, nutrient cycling, migration, and climate...
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    Data management and introduction to QGIS and RStudio for spatial analysis
    Students learn about the importance of good data management and begin to explore QGIS and RStudio for spatial analysis purposes. Students will explore National Land Cover Database raster data and...
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    Data is the New Science - Modified and combined with Following the Data Module
    In this module, students will be introduced to some emerging biodiversity data resources. They will be asked to think critically about the strengths and utility of these data resources and apply...
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    NEON_PDSI
    Users access and manipulate drought data and visualize these data to learn about historical drought patterns.
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    Data Ethics
    Data ethics and the use of digital data
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    Remote sensing data processing – NEON airborne data
    Concepts of remote sensing and data logistics, and NEON remote sensing data are introduced. Students learn how to apply spatial data processing and visualization skills using R coding program to...
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    Data Visualization
    This is an introduction to the idea of data visualization and the importance of presenting data for understanding.
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    Introductory Data Science Pipeline Activity – Yellow Fever and Global Precipitation
    Students follow the steps of a tiny data science project from start to finish. They are given a research question "Are the number of cases of yellow fever associated with global average...
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    Data Management in Excel and R using National Ecological Observatory Network's (NEON) Small Mammal Data
    Students use small mammal data from the National Ecological Observatory Network to understand necessary steps of data management from data collection to data analysis by re-organising excel sheets...
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    The Power of Data Standards
    Investigate data standards within the context of the Alpine Chipmunk and the Grinnell Study.
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    Data Management using National Ecological Observatory Network's (NEON) Small Mammal Data with Accompanying Lesson on Mark Recapture Analysis
    Students use small mammal data from the National Ecological Observatory Network to understand necessary steps of data management from data collection to data analysis by estimating small mammal...
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    Data Science Replication of Covid-19 Wastewater Tracking
    Students are asked to use data science skills (such as pivot tables and linear regression) to replicate Covid-19 wastewater monitoring data provided by the CDC NWSS (National Wastewater...
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    Data is the New Science - R Remix
    In this module, students will be introduced to some emerging biodiversity data resources. They will be asked to think critically about the strengths and utility of these data resources and apply...
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    Examining human impacts on tusk evolution in elephants using authentic research data
    In this activity students explore and analyze real, authentic research data paired with HHMI’s “Selection for Tuskless Elephants” video in a hands-on investigation of human impacts on elephant...
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    Why, when, and how to cite sources of biodiversity specimen data
    This short video and assessment explain why we as scientists should cite our data sources and how we can do this for sources of biodiversity specimen data.
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    Processes that Regulate Patterns of Species and Genetic Diversity - Intro Environmental Science
    This activity was adapted for use in an intro non-majors Environmental Science course, with an emphasis on collaborative data collection.
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    Data is the New Science
    In this module, students will be introduced to some emerging biodiversity data resources. They will be asked to think critically about the strengths and utility of these data resources and apply...
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    Rescuing Data: Preserving Data for the Future
    Meet Diane Srivastava, director of the Canadian Institute for Ecology and Evolution, and learn how they sythesize and save biodiversity data.
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