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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...

    Keywords: Rdata analysisdata manipulationRStudioManagement Of DataSwirl

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    Analyzing Data on Behavioral and Immunological Effects of Inflammation in Mice
    In this activity, students will learn about behavioral and immunological responses to a bacterial infection. The activity emphasized the host’s responses rather than bacterial manipulation of the...

    Keywords: Vision and Changedata analysisImmunologybehaviorphysiologyinflammationinterdisciplinary educationAntigenmouseImmunoReachSicknessleukocyteneutrophilLipopolysaccharideacute phase response

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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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    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...

    Keywords: tool:rstudioGISdata managementlandscape ecologyGeospatial ScienceNational Ecological Observatory Networkquantitative inquiryQGIS

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    Phenology Trends and Climate Change in Minnesota (Project EDDIE)
    In this module, students will practice answering a specific question about how climate change has affected flowering date in American elm trees. Students can then practice on a species of their own...
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    Ancient Insects
    Create a gallery of fossil organisms and identify distinctive body parts (wings, suckers, modified appendages) from the collection. Analyze and interpret these features to predict what type of...

    Keywords: Evolutionpaleontologynatural history collections#NGSS

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    DataONE Module 02: Data Sharing
    Data sharing in the context of the data life cycle, the value of sharing data, concerns about sharing data, and methods and best practices for sharing data.

    Keywords: Data Discovery RCNmoduledatain-class activityHandoutproblem setdata managementDataONEPresentation

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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...

    Keywords: data in the classroombiodiversity informaticsnatural history collection

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    DataONE Module 01: Why Data Management?
    Trends in data collection, storage and loss, the importance and benefits of data management, and an introduction to the data life cycle.

    Keywords: moduledatain-class activityHandoutproblem setdata managementDataONE

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    Data Ethics
    Data ethics and the use of digital data

    Keywords: data scienceresearch ethicsdata ethics

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    Data Visualization
    This is an introduction to the idea of data visualization and the importance of presenting data for understanding.

    Keywords: data in the classroomdata visualization

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    Statistical Exploration of Climate Data
    In this module the students will learn some basic concepts in statistical thinking about data, with emphasis on exploratory data analysis.

    Keywords: modulelinear regressioncase studyclimate datamoving averagesin-class activity

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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...

    Keywords: codingR Markdowndata managementggplot2spreadsheetssmall mammals community dynamicsNEONResource TypeNational Ecological Observatory NetworkR softwaredplyr

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    The Power of Data Standards
    Investigate data standards within the context of the Alpine Chipmunk and the Grinnell Study.

    Keywords: data in the classroomdata standardsdigitized natural history collectionsBLUE Fall 2019 FMNGrinnell

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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.

    Keywords: data in the classroomdata visualizationdigital resourcesbiodiversity informaticsbiodiversity collections

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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.

    Keywords: moduledatain-class activityHandoutproblem setdata managementDataONEPresentation

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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...

    Keywords: data managementspreadsheetssmall mammals community dynamicsNEONCapture mark-recaptureResource TypeNational Ecological Observatory Network

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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...

    Keywords: Resources @ Data NuggetsspreadsheetsRestoration EcologyUsing Excelgraphing in Excelformulas in ExcelApplied ecology

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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...

    Keywords: Resources @ ESA - TIEEdemographysurvivorshipdata managementlife tables

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