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    Teaching Data Viz and Communication as an Undergraduate Biology Course: Assignments and Projects
    Teaching materials co-developed for a new upper-level undergraduate biology course to teach data exploration and communication without requiring previous coding experience.
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    Teaching Data Viz and Communication as an Undergraduate Biology Course: Syllabus and Resources
    Teaching materials co-developed for a new upper-level undergraduate biology course to teach data exploration and communication without requiring previous coding experience.
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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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    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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    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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    Visualizing Global CO2 Emissions
    Using CO2 emissions data, students will learn how to visualize data with Tableau Public. The teaching materials are suitable for upper-level undergraduate courses on data analysis and research...
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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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    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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    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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    MS Excel Refresher - Lizards, iguanas, and snakes! Oh my! | Data Nuggets
    This resource, a MS Excel refresher, extends the level for this Data Nugget. Students are given an Excel workbook with the data and asked to graph and calculate diversity using Excel functions...
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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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    An Introduction to Biodiversity Databases and Specimen Images
    In this module, students will be introduced to some biodiversity data resources and how to search for and download herbarium specimen images. They will be asked to think critically about the...
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    Large Datasets in R - Plant Phenology & Temperature Data from NEON
    This module series covers how to import, manipulate, format and plot time series data stored in .csv format in R. Originally designed to teach researchers to use NEON plant phenology and air...
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    Building Biodiversity Datasets for Invasive Species
    A module guiding students through the process of mapping biodiversity data and building a biodiversity dataset to study the spread and impacts of the invasive aquatic plant species, European...
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    Communicating with Data: Infographic with Digital Data
    Working collaboratively in teams of 2-4 researchers, students engage in targeted projects to address critical information and research needs using digital biodiversity data.
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    Cleaning Biodiversity Data: Excel
    Access and clean an open source polar bear dataset using Excel.
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    Data simulation and randomization tests
    A participatory live-coding lesson on simulating data and performing randomization tests on ecological data in R.
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    Tree Biomass and Phenology
    This lesson centers around understanding the connection of tree biomass and phenology with climate change. It uses both swirl and LearnR lessons in the R programming language to help students make...
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