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    Engaging students in data exploration using digital biodiversity databases: BLUE Data Network
    Slides for BLUE presentation at 2020 BIOME Institute: Cultivating Scientific Curiosity
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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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    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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    Biodiversity, Big Data, and the Fossil Record
    In this lab, we will be making and testing hypotheses about how the biodiversity of groups of organisms may vary through time.
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    Species Range Over Space and Time
    In this module, students use data from natural history collections to look at range shifts related to climate variables over different time periods.
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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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    Birthday Problem and Class Phenotypic Probabilities
    An Excel workbook exploring two related applications, the Birthday Problem and Class Phenotypic Probabilities. Students enter their own phenotypes into the workbook.
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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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    Data is the New Science
    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...
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    Biodiversity Literacy in Undergraduate Education (BLUE): Building standards and resources for using collections data in the classroom
    Abstract for poster on using collections data presented at the 2019 BioQUEST & QUBES Summer Workshop
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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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    Following the Data
    The video and exercise provides insight into how researchers are using digital data resources to investigate biodiversity in prairie fen wetlands.
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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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    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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    Natural history collections data and Biodiversity Literacy in Undergraduate Education (BLUE)
    Presentation made by Elizabeth Ellwood et al. as part of the "Bringing Research Data to the Ecology Classroom: Opportunities, Barriers, and Next Steps” Session at the Ecological Society of...
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    Digital Atlas of Ancient Life | Exploring the Diversity and History of Fossil Life
    The Digital Atlas project include field guides to fossils (including a mobile app), an online paleontology textbook, and a collection of over 500 virtual 3D models of fossil specimens.
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    DataNuggets Resources
    DataNuggets Resources

    Keywords: DataNuggets

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    DCS 105 Calling Bull F24 Schedule
    Schedule overview for Bates College Course DCS 105 Calling Bull
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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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    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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