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  1. Swirl

    0.0 out of 5 stars 

    10 Jul 2020 | Software (On-site)

    Swirl: Learn R, in R

  2. Radiant Lite

    0.0 out of 5 stars 

    24 Jul 2019 | Software (On-site) | Contributor(s): Drew LaMar

    Stripped down version of Radiant on QUBES

  3. Radiant Lite

    0.0 out of 5 stars 

    24 Jul 2019 | Software (On-site) | Contributor(s): Drew LaMar

    Stripped down version of Radiant on QUBES

  4. Outstanding Oaks: Quercus phenology at NEON sites

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    09 Oct 2018 | Software (On-site) | Contributor(s): Jackie Matthes

    This app visualizes data from the National Ecological Observatory Network (NEON) observations of oak phenology at three different sites.

  5. Radiant

    0.0 out of 5 stars 

    16 Sep 2015 | Software (On-site)

    Business analytics using R and Shiny.

  6. IMMERSION Video

    0.0 out of 5 stars 

    25 Jul 2017 | Teaching & Reference Material | Contributor(s): Alondra Torres-Navarro

  7. QUBES – A virtual synthesis center catalyzing change in undergraduate quantitative biology education

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    06 Apr 2017 | Teaching & Reference Material | Contributor(s): Sam S Donovan

    This resource has been updated - find the current version here: https://qubeshub.org/publications/198Presentation about QUBES given at HHMI Constellation Meeting: Advancing science students mastery of quantitative skills. 

  8. Design, Implementation, and Evaluation of Faculty Mentoring Networks: A Model for Promoting Faculty Teaching Scholarship

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    06 Apr 2017 | Teaching & Reference Material | Contributor(s): Sam S Donovan, Kristin Jenkins, Alison N Hale, Gabriela Hamerlinck

    This resource has been updated - find the current version here: https://qubeshub.org/publications/199NGSS, AP Biology, and Vision & Change all highlight the importance of quantitative skills to understanding biology. The Quantitative Undergraduate Biology Education and Synthesis (QUBES,...

  9. Faculty Mentoring Networks: A Model for Promoting Teaching Scholarship in Quantitative Biology Education

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    06 Apr 2017 | Teaching & Reference Material | Contributor(s): Sam S Donovan, Alison N Hale, Arietta Fleming-Davies, Gabriela Hamerlinck, Jeremy M Wojdak, Kristin Jenkins

    This resource has been updated - find the current version here: https://qubeshub.org/publications/205/Faculty Mentoring Networks (FMNs) are designed to support the development of teaching scholarship by promoting teacher identity, self-efficacy, and knowledge/experience via four core design...

  10. Reimagining professional development: Faculty mentoring networks as a model for connecting projects and teachers

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    13 Mar 2017 | Teaching & Reference Material | Contributor(s): Sam S Donovan

    This resource has been updated - find the current version here: https://qubeshub.org/publications/206The Quantitative Undergraduate Biology Education and Synthesis (QUBES) project is working to design, implement, and assess online collaborative communities that promote teaching scholarship....

  11. Bringing Real Ecological Data into the Classroom: DryadLab on QUBESHub

    0.0 out of 5 stars 

    09 Dec 2016 | Teaching & Reference Material | Contributor(s): Gabriela Hamerlinck, Kristin Jenkins

    This resource has been updated - find the current version here: https://qubeshub.org/publications/207Bringing Real Ecological Data into the Classroom: DryadLab on QUBESHub was presented at the annual meeting of the Association of College & University Biology Educators in 2016. 

  12. Faculty Mentoring Networks: A model for professional development in undergraduate quantitative biology education

    0.0 out of 5 stars 

    17 Nov 2016 | Teaching & Reference Material | Contributor(s): Alison N Hale, Arietta Fleming-Davies, Gabriela Hamerlinck, Melissa Aikens, Sam S Donovan, Kristin Jenkins, Jeremy M Wojdak

    This resource has been updated - find the current version here: https://qubeshub.org/publications/208There is a significant need to design and test alternative models for faculty development around undergraduate science teaching. Existing models for helping faculty adopt evidence-based...

  13. Introduction to Probability, Statistics, and Random Processes

    0.0 out of 5 stars 

    07 Nov 2016 | Teaching & Reference Material | Contributor(s): Hossein Pishro-Nik

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/896Check out the textbook called Introduction to Probability, Statistics, and Random Processes by Hossein Pishro-Nik. From the website: "It is an open access...

  14. Free Introduction to Python for Data Science Course at DataCamp

    0.0 out of 5 stars 

    06 Nov 2016 | Teaching & Reference Material | Contributor(s): Drew LaMar

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/915Python is a general-purpose programming language that is becoming more and more popular for doing data science. Companies worldwide are using Python to harvest insights from...

  15. Free Introduction to R Course at DataCamp

    0.0 out of 5 stars 

    06 Nov 2016 | Teaching & Reference Material | Contributor(s): Drew LaMar

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/914In this introduction to R, you will master the basics of this beautiful open source language, including factors, lists and data frames. With the knowledge gained in this...

  16. DataCamp

    0.0 out of 5 stars 

    06 Nov 2016 | Teaching & Reference Material | Contributor(s): Drew LaMar

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/913The Easiest Way to Learn Data Science OnlineMaster data analysis from the comfort of your browser, at your own pace, tailored to your needs and expertise. Whether...

  17. DataCamp

    0.0 out of 5 stars 

    06 Nov 2016 | Teaching & Reference Material | Contributor(s): Drew LaMar

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/913The Easiest Way to Learn Data Science OnlineMaster data analysis from the comfort of your browser, at your own pace, tailored to your needs and expertise. Whether...

  18. Training In-Service Teachers to Think Deeply About Modeling in the Common Core Movement

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    11 Oct 2016 | Teaching & Reference Material | Contributor(s): Talitha Washington

    This resource has been updated - find the current version here: https://qubeshub.org/publications/242Over the years, I have conducted in-service teacher training sessions and workshops organized by the Capstone Institute at Howard University. My role has been to enhance teacher content...

  19. A BioGraphy of Life: How Graph Theory Makes Mathematics Recognizable, Relevant, and Research-Rich in Biology Education

    0.0 out of 5 stars 

    11 Oct 2016 | Teaching & Reference Material | Contributor(s): John R Jungck

    This resource has been updated - find the current version here: https://qubeshub.org/publications/241Biologists use graphs extensively in ecology, evolution, genetics, developmental biology, and biochemistry: phylogenetic trees, food webs, pedigrees, genetic networks, metabolic pathways,...

  20. A Framework for Modeling to Encourage Interdisciplinary Conversations

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    11 Oct 2016 | Teaching & Reference Material | Contributor(s): Carrie Diaz Eaton

    This resource has been updated - find the current version here: https://qubeshub.org/publications/209Here we present a framework for thinking about what models and modeling are, particularly to other disciplines. We encourage that differing disciplinary approaches are seen as part of a...

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