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    Digital Intro: Revitalizing the “Introduction to Psychology” course through Project-based Learning
    Welcome to Digital Intro where we are transforming introductory courses into active, project-based experiences. Our projects expose students to a wide range of digital skills as they learn...
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    Rescuing Data: Preserving Data for the Future
    Meet Diane Srivastava, director of the Canadian Institute for Ecology and Evolution, and learn how they sythesize and save biodiversity data.
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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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    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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    Mapping Specimen Occurrence Data in QGIS
    Use digitized natural history collection occurrence data from the Global Biodiversity Information Facility (GBIF) to map the distribution of the beaver in the state of Oregon from 1800-2020 using QGIS
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    Mysterious Occurrences: Representation, Resiliency, and Redundancy in Native Plant Populations
    Meet Dr. Rachel Hackett, a conservation plant biologist at the Michigan Natural Features Inventory.  We learn about Rachel's job and the restoration of threatened and endangered species. Rachel...
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    DCS 105 F24 Reading List Bates College
    The reading list for DCS 105 Calling Bull: Data Literacy and Information Science is curated to enhance students' understanding of misinformation and its impact on society.
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    DCS 105 Calling Bull F24 Schedule
    Schedule overview for Bates College Course DCS 105 Calling Bull
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    Uncovering Hidden Figures of Natural History Collections Using Digital Data Sleuthing & Storytelling
    In this presentation we will introduce a series of modules meant to train the next generation of scientists to be data sleuths and storytellers, engaging learners in authentic research experiences...
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    Digital Herbarium Lab with RStudio: Are shifting abundances of native species detectable over time?
    This 2- to 3-hour lab activity introduces sophomore-level students to digitized herbarium collections, R-coding, and potential reasons for shifting abundances in native and non-native plant species...
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    Spatial Analysis with QGIS
    Map specimen data points using QGIS, connect them to form a polygon using the Concave Hull plugin, and calculate the range of a species to examine how it changes over time.
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    Measuring Size and Area of Digitized Specimens using ImageJ
    Use ImageJ to analyze morphological characters in digital images of natural history specimens. Skills are transferable to many organisms and other morphological measurements.
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    How many critters can an island hold? Using digitized natural history collections to test real hypotheses about island biogeography
    Use digitized natural history specimen data from the Alexander Archipelago in Alaska to explore hypotheses about island biogeography. Reprinted from Proceedings of the Association for Biology...
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    Climate Drivers of Phenology Across Scales (adapted during Project EDDIE FMN)
    This activity explores the question: how is bumblebee phenology affected by climate, and are patterns in the phenology of an organism better explained at smaller scales?
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    The Importance of an ORCID
    This lesson introduces students and instructors to the use of ORCIDs (Open Researcher and Contributor ID), and walks students through the process of registering for an ORCID. This module also helps...
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    Mysterious Occurrences Instructors Notes
    Answer Key associated with Mysterious Occurrences Module
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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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    National Ecological Observatory Network: A Data Source For Your Classroom
    Poster on NEON resources for use in research and education presented at the 2019 BioQUEST & QUBES Summer Workshop.
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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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