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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.

    Keywords: metadatadigital datadata skillsBiodiversity Science

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    Supplemental Materials for Beagle Investigations Return with Darwinian Data Manuscript
    Supplement 1 contains an example laboratory exercise for introducing the BIRDD resources. Supplement 2 contains a list of web accessible data resources to supplement the existing BIRDD resources.

    Keywords: Galapagosdata on darwins finches

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    RNAseq data analysis using Galaxy
    This is a bioinformatics exercise intended for use in a computer lab setting with life science majors.

    Keywords: LabbioinformaticsNCBImappingUndergraduateworkflowNIBLSEGalaxyRNAseqgene expressionAdvancedExtended ProjectArabidopsisC1. Role of bioinformaticsC2. Computational conceptsC3. Statistical conceptsC5. Data retrievalIncubated at NIBLSEdifferentially expressed genes

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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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    Exploring Data with BISON
    A module to explore aggregated observation and collection information, through BISON, or Biodiversity Information Serving Our Nation (https://bison.usgs.gov), a tool for visualizing GBIF data.

    Keywords: Querying databasesdata in the classroombiodiversity informaticsnatural history collectionsGBIFBISON

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    REMNet Tutorial, Excel Part 2: Understanding Your Microbiome “Data Summary” Document 4.25.19
    Video on understanding microbiome data from the Research Experiences in Microbiomes Network
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    Morphological, Anatomical and Molecular Analysis of Plant Phylogeny and Diversity
    In this lab, students perform phylogenetic analyses on morphological, anatomical and molecular data, and compare.

    Keywords: morphologyphylogenylaboratoryplantsmolecular analysisstele architecture

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    Data from: Agent-based and Individual-based Modeling: A Practical Introduction, Chapter 5, Exercise 10 [Elevation]
    Supplemental data for ABM

    Keywords: elevationChapter 5exercise

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    Using primary literature to teach data literacy
    Presentation by Bridget Conneely made as part of the "Bringing Research Data to the Ecology Classroom: Opportunities, Barriers, and Next Steps” Session at the Ecological Society of American...

    Keywords: Ecological Society of America

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    BEDE - Biological and Environmental Data Education Network: Preparing Instructors to Integrate Data Science into Undergraduate Biology and Environmental Science Curricula (RCN-UBE Introduction)
    The Biological and Environmental Data Education Network (BEDE Network) develops and shares teacher-training workshops, curricular designs, teaching modules, and best practices to help integrate...

    Keywords: computational toolsdata scienceRCN-UBE Introduction

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    Machine Learning Meets Medicine with Jenessa Peterson
    Jenessa Peterson is a former teacher turned data scientist/engineer and Director of Learning Engineering at The Learning Agency. Her more recent work in data science has included building a...

    Keywords: data sciencemachine learningmedicine

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    2019 EDSIN Conference Proceedings
    Bringing Conversations on Diversity and Inclusion in Data Science to the Ecological and Environmental Sciences, was a 3-day conference hosted at the UCAR's Center Green in Boulder, Colorado, April...

    Keywords: data scienceEquityenvironmental sciencediversityinclusionconference proceedingsEnvironmental Data Science Inclusion Network

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    Analyzing current and past climate data (Project EDDIE)
    Students analyze current and past temperature and CO2 data to relate current climate change to climate of the past 450,000 years. Objectives: Are global temperatures and CO2 levels rising? How...
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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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    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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    REMNet Tutorial, R Part 2: Importing Your Microbiome Data into R 5.3.19
    Video on importing data into R from the Research Experiences in Microbiomes Network

    Keywords: growth mindsetVideoMicrobiology EducationR programming languagemicrobiomesmath attitudesResources @ BIOMAAPmistakesvalue of mistakesresearch in the classroomREMNeturban microbiomes

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    Biobyte 4 - The role of data science principles and practices in undergraduate biology
    This short activity was an effort to launch a community conversation around the interface of data science principles and practices and undergraduate biology education. A variety of resources,...

    Keywords: biostatisticsstatistical analysisavian malariaSummer Workshop 2018

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    Spatial Justice, Marginal Populations, and Data Integrity
    Spatial justice refers to the consequential geography of a place where spaces are socially produced. Understanding how spatial injustice is created at different spatial scales is an essential part...

    Keywords: data sciencespatial justicedata integrity

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    Working with Datasets in R swirl
    The goal of this lesson is to learn how to import datasets into R, understand variable types, make adjustments to variables, perform basic calculations, and begin data visualization. The exercise...

    Keywords: graphingRStudioclimate change datatidyverseWorking with datasets

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