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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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    GSD QUBES Resource Draft (1)
    This QUBES module is focused towards AP Environmental studies courses. It includes hypothesis testing, transect sampling, Shannon Diversity Index, and scatter plot and bar graph creation in excel.

    Keywords: Community EcologyField researchspidersMicrosoft ExcelShannon diversity index

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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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    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...

    Keywords: Evolutionecologyidigbiodata management#iNaturalistcourse based undergraduate research experienceshuman impactsspecies distributionscourse-based research experiences (CUREs)digitized natural history collectionsGBIFQGISBCEENETgeoreferencing

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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.

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

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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...

    Keywords: data analysismorphologyidigbiosexual dimorphismdata managementImageJsexual selectionnatural history collectionsbutterflycourse-based research experiences (CUREs)digitized natural history collectionsQGISmorphometricsBCEENETgeoreferencing

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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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    Applying phylogenetic tree building in MEGA X to forensic applications for identifying unknown specimens
    This exercise is designed to guide a learner through the construction of phylogenetic trees as a means of addressing research questions in forensic science such as the identification of previously...

    Keywords: taxonomyBioinformatics and GenomicsDNA Barcodinginvertebrate phylogeneticsforensic entomology

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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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    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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    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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    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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    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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    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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    Inclusive Pedagogy for Life Science Education Tagging Ontology
    Inclusive Pedagogy for Life Science Education Tagging Ontology

    Keywords: ontology

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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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    An Adaptation of "Lichens in Diverse Landscapes" for BIO 3400 Ecology at Greensboro College
    This resource includes a lichen data analysis lab that I adapted for students in BIO 3400 Ecology, an upper level in person course at Greensboro College that met during the Fall 2020 semester.

    Keywords: NEONNational Ecological Observatory Network

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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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    Choosing healthy data for healthy relationships: how to use 5-point summaries, box and whisker plots, and correlation to understand global health trends.
    This module utilizes a user-friendly database exploring data selection, box-and-whisker plot, and correlation analysis. It also guides students on how to make a poster of their data and conclusions.

    Keywords: Querying databasesgraphingRatiosdata typesstatistical learningcorrelationBox Plotsqbcchealth sciences education researchnutrition & food scienceUnderstanding ratesCreate graphsInterpret graphsinterpret tablesHealth ScienceConcepts in Statisticsexplaining statisticsusing statistics

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    Intro to Data Types and Graphing Lab
    This is the third lab in an Introductory Physical Geography/Environmental Studies course. It introduces students to different data types (qualitative vs quantitative), basic statistical analyses...
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