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    A Growing Concern: Sustaining Soil Resources through Local Decision Making
    This module addresses this need by providing students the opportunity to examine the differences between intensively managed agricultural landscapes (e.g. grazelands, conventional tillage) 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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    Connecting Students to Citizen Science and Curated Collections
    This educational module utilizes the traditional plant collection experience to engage students with biodiversity data protocols and resources available in our information-rich digital age.
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    BEDE Network Data Science Skills Curriculum Map
    The Biological and Environmental Data Education (BEDE) Network has produced this data science skills curriculum map as a flexible tool to help instructors highlight data science skills that they...
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    Introduction to Primate Data Exploration and Linear Modeling with R
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology research students on data management and statistical...
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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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    Globally endangered sea turtles of the Palmyra Atoll National Wildlife Refuge: A Focus on Scientific Analysis
    Based on the sea turtle case, students will (1) work on a worksheet by analyzing existing survey data, (2) conduct a literature review of two relevant research, and (3) draft a proposal for a...
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    Data Nugget- City Parks and Texas A&M University-Kingsville Camera Trap Assignment
    The Data Nugget- City Parks module was used in a sophomore-junior level undergraduate wildlife management techniques course (with lab) in Fall 2017. Modifications were made to the original Data...
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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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    Gaining familiarity with R and Work with NEON OS & IS data – Plant phenology & temperature - adaptation
    This adaptation introduces students to R and the NEON OS & IS data – Plant Phenology & Temperature tutorial. A planned extension will prompt students to develop a testable hypothesis, based on...
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    Adapting "Lichens in Diverse Landscapes" for Independent Projects in BIO 3317 Ecology at McDaniel College
    This adaptation shows how students in Ecology at McDaniel College used the Lichens in Diverse Landscapes Module 2 (Lichens in YOUR Local Landscape) in Fall 2020.
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    BSL-4: Authorized Personnel Only
    National Center for Case Study Teaching in Science resource on the 2014 Ebola epidemic. This resource is also included in the NIBLSE Learning Resource Collection
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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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    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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    Earth Analytics in Python Course
    Earth analytics is an intermediate, multidisciplinary course that addresses major questions in Earth science and teaches students to use the analytical tools necessary to undertake exploration of...
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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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    Introduction to Earth Data Science Textbook
    Introduction to Earth Data Science is an online textbook for anyone new to open reproducible science and the Python programming language. There are no prerequisites for this material, and no prior...
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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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    Earth Analytics in R Course
    Earth analytics is an advanced, multidisciplinary course that addresses major questions in Earth science and teaches students to use the analytical tools necessary to undertake exploration of...
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