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    BS Inventory assignment
    This is a written assignment with a recommended process and grading rubric to go with the BS Inventory assignment on callingbull.org.

    Keywords: data visualizationprojectdata collectiondata vizcreativitymisinformationreal worldbull

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    ELE Calling Bull slides Feb 2024
    These are the slides for a talk given by Dr. Carrie Diaz Eaton about teaching Calling Bull. The talk was hosted by Every Learner Everywhere on February 9, 2024.

    Keywords: RStudioquantitative literacyinformation literacydata literacyScience and societyethicsFigure of the Daycalling bulldata vizracismcritiqueIntersectionalitycolab

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    Weekly Reflection Template for Calling Bull
    This is a weekly reflection template designed to induce reflection about week's themes, integrate the week's themes into ones life, and identify any issues or successes students are having to...

    Keywords: reflectionengagementdata vizmisinformationmemesweekly

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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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    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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    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...

    Keywords: Resources @ ESA - TIEEdemographysurvivorshipdata managementlife tables

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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...

    Keywords: data in the classroombiodiversity informaticsnatural history collection

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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...

    Keywords: Resources @ HHMI - BioInteractiveBiochemistrymolecular biologydata interpretationBiological Data Analysiscell cyclemacromoleculesGenetic diseaseCell signaling

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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...

    Keywords: data analysisgraphinggraph interpretationdata interpretationmicrobiologySTEM educationtemperaturegroup workBEDENet FMNbacterial growth

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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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    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...

    Keywords: Rdata analysisdata manipulationRStudioManagement Of DataSwirl

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    Climate-Induced Shifts in California Butterflies
    A module in which students generate and test hypotheses about butterfly species’ response to climate change in the Central Valley and Sierra Nevada Mountains of northern California using publicly...

    Keywords: linear regressionScatter Plotsclimate changephenologyhypothesis formulationmountainsCaliforniapublic dataCODAP

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    Calling Bullshit DCS 105 Bates College Data Visualization Activity Slides
    This is a slide deck containing all in-class data visualization activity slides for the course DCS 105 - Calling Bullshit at Bates College.

    Keywords: datadata visualizationhands-onbatescalling bullDCS 105

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    Exploring EnvironmenATL Justice with Data Analytics and Visualization
    Basic data handling and data analysis skills are introduced to visualize and analyze ‘big data.’ Environmental justice is introduced to give students an understanding of tools and strategies to...

    Keywords: social justiceenvironmental justiceatlantaHBCUsCulturally responsive science teachingenvironmental racismenvironmental injustice

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    Atmospheric Carbon Dioxide Data Analysis - Draft (1)
    Students will be able to analyze real data to review basic statistics. Students will be able to work as a group to determine the best way to present their data.
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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

    Keywords: natural history collectionsspecies distributionscourse-based research experiences (CUREs)digitized natural history collectionsQGIS

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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...

    Keywords: tool:rstudioGISdata managementlandscape ecologyGeospatial ScienceNational Ecological Observatory Networkquantitative inquiryQGIS

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