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    Bates College DCS 105 Calling Bull: Data Literacy and Information Science Course Slides
    Slides that accompany the Course DCS 105 Calling Bull: Data Literacy and Information Science from Bates College

    Keywords: datamisinformationslidesCalling BullshitBates CollegeCourse Material

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    Communicating with Data: Infographic with Digital Data
    Working collaboratively in teams of 2-4 researchers, students engage in targeted projects to address critical information and research needs using digital biodiversity data.

    Keywords: databasesdata in the classroomundergraduate researchdigital collectionscourse-based research experiences (CUREs)biodiversity collections

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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.

    Keywords: Biodiversityplantsnatural history collectionherbarium

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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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    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.

    Keywords: datalearningmisinformation#readinglistDCS 105Calling BullshitBates College

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    Molecular Basis of Sickle Cell Disease
    This multi part case on hemoglobin structure as it relates to oxygen binding and sickle cell disease focuses on utilizing bioinformatics and molecular visualization tools to learn about the sickle...

    Keywords: Hemoglobinmolecular visualization and analysisintroductory bioinformaticssickle cell diseasePDBMolecular Case Studyoxygen bindingmyoglobinmolecular literacy3D protein structuresstructural representations

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    Final Project for Calling Bull
    This is the final project for the calling bull course & it is to find 3 pieces of misinformation/BS and debunk them. They have to re-do at least one visualization, use R in at least one debunking,...

    Keywords: statisticsinformation literacycalling bulleportfolio

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    21st Century STEM Workforce Skills
    This activity includes a leadership assessment and associated exercise to encourage the development of 21st Century STEM Skills.

    Keywords: collaborationteam scienceleadership skills

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    Exploring Coyote Morphology: Introduction to Research and Study Design
    This module is designed as a first foray for freshman-level (novice undergraduate) students into science literacy, research design, and use of museum resources in research activities. The module...

    Keywords: statisticsnatural history museumsdistance learningscience literacyStudy Designintraspecific variation

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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...

    Keywords: quantitative skillsscientific literacyCurriculum developmentdata science skills trainingdata literacy skills

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    Creating a Deeper Understanding of Big Geospatial Data, Volunteered Geographic Information (VGI), and Community Science using Project Eddie Modules
    This module uses the Project Eddie Module Assessing the Risk of Invasive Species Using Community Science Data developed by Heard, M. J. (2023) to create a deeper understanding of big geospatial...

    Keywords: GISInvasive SpeciesGeospatial ScienceProject EDDIEgeographyCitizen and Community Sciencegeographic information sciencevolunteering

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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...

    Keywords: RlandscapebiomassProblem Solvingraster raster data processingspatial data visualizationvegetation indicescanopy

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    Exploring Detritus-Based Food Webs in Streams
    This two-part field lesson for mid- to upper-level undergraduates connects allochthonous inputs to the invertebrate consumers that depend on them. After preparing students with background...

    Keywords: aquatic macroinvertebratesfunctional feeding groupallochthonousorganic matterleaf packRiver Field Studies Network

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    Scientists Offering Solutions through Sprints
    Our BIOME Fall Working Group, Scientists Offering Solutions through Sprints, explains the process of putting together a Science sprint in your community. A science sprint is a one-day event in...

    Keywords: collaborationengagementScience Sprints

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    Data-Driven Decision-Making: Antarctic Fisheries
    This is an entire module for a general education data science and ecology course. The module was originally designed as the fourth and final section of the course; the full course is openly...

    Keywords: population growthRStudiodata visualizationexponential growthlogistic growthR Markdownspatial dataocean sustainability4DEE FrameworkTraditional ecological knowledgecarrying capacityEcosystem Servicesmaximum sustainable yield

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    Investigating human impacts on stream ecology: Scaling up from Local to National with a focus on the Southeast
    Adaptation of the "TIEE Module- How does nutrient pollution impact stream ecosystems locally and nationally?" specifically to include information on the SE (particularly Atlanta, GA).
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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...

    Keywords: data analysisdatadata typesdata scienceearth sciencepythonpermafrostremote sensingfloodsGeographic Information System (GIS)data science educationcomputer programmingwildfireearth analytics

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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...

    Keywords: data analysisdatadata typesdata visualizationdata scienceearth scienceR programming languageremote sensingGeographic Information System (GIS)data science educationcomputer programmingwildfireearth analytics

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    Earth Analytics Bootcamp Course
    The Earth Analytics Bootcamp is a three-week introductory-level course taught by instructors in Earth Lab and is a part of the Professional Certificate in Earth Data Analytics - Foundations at CU...

    Keywords: data analysisdatadata typesdata visualizationdata scienceearth sciencepythonremote sensingGeographic Information System (GIS)data science educationdcomputer programmingwildfireearth analytics

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    Exploring the Lotka-Volterra Competition Model using Two Species of Parasitoid Wasps
    Experiment included in Teaching Issues and Experiments in Ecology (TIEE) Volume 2

    Keywords: population dynamicsResources @ ESA - TIEEspecies interactionscompetition models

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