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    Lichens in Diverse Landscapes: EREN-NEON Flexible Learning Project
    This project makes use of publicly-available datasets on lichen presence and abundance and wet deposition, paired with geospatial data on air quality, tree canopy cover, and locally collected field...

    Keywords: NEONNational Ecological Observatory Network

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    BioSkills Guide
    The BioSkills Guide comprises program- and course-level learning outcomes for the Vision and Change core competencies that elaborate what general biology majors should be able to do by the time...
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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.

    Keywords: Evolutionbiologyidigbiopaleontologytaxonomynatural history collectionsgeologySPNHC2020

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    Caribbean coral reef structure and biodiversity - Comparing boosted regression tree & multiple regression approaches
    Creating and comparing boosted regression tree models to multiple regression models.
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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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    Introduction to UNIX command line
    A laboratory module for an upper-level undergraduate biology course in which students will be able to carry out simple tasks using the Unix command-line environment.

    Keywords: NIBLSEcommand lineUNIXsequence analysis

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    Get Started With GIS in Open Source Python Workshop
    There are a suite of powerful open source python libraries that can be used to work with spatial data. Learn how to use geopandas, rasterio and matplotlib to plot and manipulate spatial data in...

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

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    Writing Clean Code in R Workshop
    When working with data, you often spend the most amount of time cleaning your data. Learn how to write more efficient code using the tidyverse in R.

    Keywords: data analysisdata 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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    Passion-Driven Statistics
    E-book in .pdf format and customizable .iba format

    Keywords: statisticstextbook

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    Exploring the population dynamics of wintering bald eagles through long-term data using R
    The purpose of this modification was to take the analyses that were done in Excel and have the students perform them using R. Students were not given any R code for this activity, as R code was...

    Keywords: Resources @ ESA - TIEEcase studyR programming languagepopulation ecologyendangered speciesconservation biologymigration ecologyggplot2

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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.

    Keywords: data in the classroomdigital resourcesclimate changenatural history collection

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    Making toast: Using analogies to explore concepts in bioinformatics
    Module using analogies to introduce students to genomics

    Keywords: bioinformaticsgenomicsworkflowNIBLSECourseSourceanalogiesbioinformatics workflows

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    Data simulation and randomization tests
    A participatory live-coding lesson on simulating data and performing randomization tests on ecological data in R.
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    Use of PeerWise - an open digital question authoring tool
    Session on PeerWise presented at BioQUEST Workshop 2018

    Keywords: Summer Workshop 2018

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    Transitioning Two-Stage Exams to an Online Class
    Students often find biology courses to be very difficult and isolating, particularly if they identify as part of a group that has been historically excluded from STEM. Some of this anxiety and...

    Keywords: lower division STEMupper division STEM

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    Evaluation of DEIJ in Lectures of Junior Year Science Undergraduate Course
    Diversity, equity, inclusion, and social justice, DEIJ, is important for both students and faculty as they improve learning outcomes and elicit professional competency respectively. DEIJ...

    Keywords: stempedagogyArticleUndergraduateOpen Sourcescienceevaluationneurobiologythe role of active learning in retention and engagementFacultyAnalysismethod#DEI-J-ADEIJinterdisplinaryjunorlearning spacesadditional support learning systemenhancement

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    Case Study — World records as measures of senescence or randomness
    This is a project meant to accompany the Case Study that Carl Bergstrom, which uses R to explore whether declining track and field world record performance could be an artifact of sample size (less...

    Keywords: RRStudioprogrammingsampling distributionProbability & Statisticsrandomnesscontinuous probability distribution

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    Biodiversity research using digitized, internet-based natural history collections
    Collections based research is a critical tool for organismal biology and biodiversity research. Yet natural history collections have a complicated past. This multi-class module examines the...

    Keywords: natural historycollectionsdigital resourcesOERBiodiversitynatural history museumsdigital collectionsbirdsBiodiversity Collections Network (BCoN)BLUE

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    Binomial test
    This lesson focused on introducing students to binomial data analysis and reinforcing concepts of confidence intervals, p-value interpretation, and one- vs two-sided tests.
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