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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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    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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    Riverbird distributions and habitat use
    Riverbirds are widespread, use diverse riparian habitats, and respond rapidly to changing conditions. Students can apply riverbird data to evaluate hypotheses about these responses, while gaining...
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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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    Sexual Dimorphism CURE: Exploring Melanized Wing Patterns of Pieridae Butterflies
    Teach a Course-based Undergraduate Research Experience (CURE) using digitized natural history collections data to test hypotheses on sexually dimorphic wing melanization patterns of Pieris rapae...
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    Malaise Trap Project: Involving Undergraduate Students in Network Science
    A multi-week project for upper division undergraduate students to participate in network-level science, while simultaneously learning classic entomology skills of specimen collection and...
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    Distributions CURE- Exploring Species Distribution Changes and their Drivers
    This course-based undergraduate research experience (CURE) uses digitized natural history collections data to answer questions about species distributions and their drivers. This inclusive CURE can...
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    BCEENET- Broadening undergraduate participation in ecology and evolution research through CUREs using digitized natural history collections data (RCN-UBE Introduction)
    Biological Collections in Ecology and Evolution Network (BCEENET) brings together natural history collections (NHC) professionals, undergraduate educators, data experts, and researchers to support...
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    Pennies to The Moon Data Byte Series
    This series of Rbyte activities explores the concept of debunking using Fermi Estimation, R, and ChatGPT.
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    A Changing Climate in the Hawaiian Wet Forest: In-Person and Virtual Curriculum for Field Courses at Puʻu Makaʻala NAR
    Curriculum for Puʻu Makaʻala Huakaʻi with the National Ecological Observatory Network (NEON), developed by Teaching Change. This module was created to guide Teaching Change Field Courses at Puʻu...
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    How We Help: Human elements of restoration ecology
    In this lesson, students recall the basics of restoration ecology, interpret and predict several graphs that explain restoration manager characteristics, and reflect on an interview with...
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    A Tough Choice in Watershed Management
    In this Team-based activity, students work in teams, playing the role of natural resource managers who must decide in which region to invest limited funding for nutrient reduction in streams....
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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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    R Subsetting Tutorial
    The students will practice manipulating data to add to or extract subsets of specific values, rows, columns, or subsets of data contained in existing data files.
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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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    Data Analysis and Cancer
    This is a flipped classroom approach, students will learn the basic content about cell-signaling, p53, and transcription factors before class. During class students will focus on data analysis...
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    Online, 10-minute adaptation of Biobyte 1 – Where are we in the data science landscape?
    Adaptation for 10 minute activity in an online meeting to introduce the NAS Data Science For Undergraduates report's definition of data acumen and engage participants in a self assessment of how...
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    Graphing Techniques for Introductory Microbiology
    This module will introduce the introductory microbiology students to graphing skills to visualize and interpret the data to investigate the effect of environmental factor (temperature) on bacterial...
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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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    Too much of a good thing? Exploring nutrient pollution in streams using bioindicators
    Students use data on nitrogen and phosphorus levels in streams and macrobenthic insect biodiversity to consider issues of nutrient pollution and stream health while learning to filter, summarize,...
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