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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

    0.0 out of 5 stars 

    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. Investigating Trade-offs among Mammal Traits

    5.0 out of 5 stars 

    07 Jun 2018 | Software (On-site) | Contributor(s): Jackie Matthes

    This app draws on a large species-level dataset with metabolic, life history, and ecological traits of most living and recently extinct mammal species. Users can select and plot traits, fit linear models to the data, and query displayed datapoints.

  6. Modeling the Mechanisms of Evolution

    0.0 out of 5 stars 

    25 May 2018 | Software (On-site) | Contributor(s): Jackie Matthes

    Simulate population-level mechanisms of evolution: genetic drift, gene flow, and natural selection.

  7. Avida-ED

    0.0 out of 5 stars 

    06 Oct 2017 | Software (Off-site) | Contributor(s): Robert T Pennock, Diane Blackwood

         This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/874Avida-ED is an award-winning educational application developed at Michigan State University...

  8. Radiant

    0.0 out of 5 stars 

    16 Sep 2015 | Software (On-site)

    Business analytics using R and Shiny.

  9. Citations

    0.0 out of 5 stars 

    27 Jul 2017 | Teaching & Reference Material | Contributor(s): Louise Mead, James Smith, Wendy Johnson, Michael Wiser, Robert Pennock, Amy Lark

    We present an inquiry-based curriculum based on the digital evolution platform Avida-ED (http://avida-ed.msu.edu). We designed an instructional sequence and lab book consisting of an introduction to Avida-ED and a set of three lessons focused on specific evolutionary concepts. These served to...

  10. Avida-ED Lab Book Summer 2017

    0.0 out of 5 stars 

    27 Jul 2017 | Teaching & Reference Material | Contributor(s): Wendy Johnson, Cory Kohn, Amy Lark, Louise Mead, Robert T Pennock, Jim Smith, Michael James Wiser

    The Summer 2017 version of the Avida-ED Lab Manual includes the addition of an exercise that covers genetic drift (Exercise 4: Exploring Population Change Without Selection) 

  11. Avida-ED Lab Book Summer 2017

    0.0 out of 5 stars 

    27 Jul 2017 | Teaching & Reference Material | Contributor(s): Wendy Johnson, Cory Kohn, Amy Lark, Louise Mead, Robert T Pennock, Jim Smith, Michael James Wiser

    The Summer 2017 version of the Avida-ED Lab Manual includes the addition of an exercise that covers genetic drift (Exercise 4: Exploring Population Change Without Selection) 

  12. Avida-ED Lab Book Summer 2017

    0.0 out of 5 stars 

    27 Jul 2017 | Teaching & Reference Material | Contributor(s): Wendy Johnson, Cory Kohn, Amy Lark, Louise Mead, Robert T Pennock, Jim Smith, Michael James Wiser

    The Summer 2017 version of the Avida-ED Lab Manual includes the addition of an exercise that covers genetic drift (Exercise 4: Exploring Population Change Without Selection) 

  13. 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...

  14. 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...

  15. 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...

  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. 50 years of Data Science

    0.0 out of 5 stars 

    23 Feb 2016 | Teaching & Reference Material | Contributor(s): David Donoho

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/912More than 50 years ago, John Tukey called for a reformation of academic statistics. In ‘The Future of Data Analysis’, he pointed to the existence of an as-yet...

  18. 50 years of Data Science

    0.0 out of 5 stars 

    23 Feb 2016 | Teaching & Reference Material | Contributor(s): David Donoho

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/912More than 50 years ago, John Tukey called for a reformation of academic statistics. In ‘The Future of Data Analysis’, he pointed to the existence of an as-yet...

  19. Modernizing Statistics Education via Biology Applications

    0.0 out of 5 stars 

    21 Oct 2015 | Teaching & Reference Material | Contributor(s): Olcay Akman

    This resource has been updated - find the current version here: https://qubeshub.org/publications/254In most traditional statistics courses, instructors use data from different fields in an effort to give the courses an interdisciplinary flavor. They generally fail because these attempts...

  20. Modernizing Statistics Education via Biology Applications

    0.0 out of 5 stars 

    21 Oct 2015 | Teaching & Reference Material | Contributor(s): Olcay Akman

    This resource has been updated - find the current version here: https://qubeshub.org/publications/254In most traditional statistics courses, instructors use data from different fields in an effort to give the courses an interdisciplinary flavor. They generally fail because these attempts...

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