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    DataONE Module 03: Data Management Planning
    Benefits of a data management plan (DMP), DMP components, tools for creating a DMP, NSF DMP information, and a sample DMP.
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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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    Histograms and Boxplots
    This lesson, created for an introductory ecology course, focuses on helping novice R users to import a data file, apply base R plotting functions, and use R Markdown to generate a reproducible report.
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    Using primary literature to teach data literacy
    Presentation by Bridget Conneely made as part of the "Bringing Research Data to the Ecology Classroom: Opportunities, Barriers, and Next Steps” Session at the Ecological Society of American...
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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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    2020-TeachingModule-ModelingSpreadOfOilSlick
    This is support material and video for teaching a Modeling Scenario using a first order ODE to model the spread of an oilslick with incomplete data.
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    Sustainability Metrics (Project EDDIE)
    In this module, students will use an analytical framework with publicly available data to formulate questions, analyze data, and report metrics of sustainability.

    Keywords: World Geography

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    Exploring USGS streamflow data with dataRetrieval and Swirl
    This Swirl lesson walks through how to retrieve, view, and visually analyze streamflow and water quality data from the National Water Information System (US Geological Survey).

    Keywords: tool:swirl

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    Sustainability Metrics (Project EDDIE)
    In this module, students will use an analytical framework with publicly available data to formulate questions, analyze data, and report metrics of sustainability.
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    Sustainability Metrics (Project EDDIE)
    In this module, students will use an analytical framework with publicly available data to formulate questions, analyze data, and report metrics of sustainability.
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    Changes in Lake Ice: Ecosystem Response to Global Change
    Data Set included in included in Teaching Issues and Experiments in Ecology (TIEE) Volume 3
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    Using the QUBES platform and NEON faculty mentoring networks to build, adapt, and publish data-driven open educational resources
    This video provides an overview of the NEON Data Education Faculty Mentoring Networks and an example of published QUBES resource implementation in the classroom.

    Keywords: NEON FMN

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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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    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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    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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    Introduction to Data Management, Life History, and Demography
    Learning Goals: • explain importance of data management • identify elements of an organized data sheet • create & manipulate data in a spreadsheet • calculate vital statistics using life...
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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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    Biobyte 2 - Exploratory data analysis
    This short activity can be used to introduce the concept of exploratory data analysis and get participants to think about how this data science strategy is complementary to having students...

    Keywords: data sciencedsube

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    Morphological and Molecular Analysis of Plant Phylogeny and Diversity
    In this lab, students perform phylogenetic analyses on morphological and molecular data, and compare.
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