You are here: Home / Resources / All

Resources: All

Submit a resource

Find a resource
  1. ecology x
  2. abstract x
  3. nonmajors x
  4. datascience x
  5. evolution x

  1. 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

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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...

  7. 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...

  8. 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) 

  9. 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) 

  10. IMMERSION Video

    0.0 out of 5 stars 

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

  11. Integrating Natural History Collections into Undergraduate Education: Creating the Resources and Growing the Community

    0.0 out of 5 stars 

    14 Nov 2016 | Teaching & Reference Material | Contributor(s): Anna Monfils, Libby Ellwood, Debra Linton, Molly Phillips, Joseph A. Cook, Joseph Kerski, Tracy Barbaro, Sam S Donovan, Karen Powers, L. Alan Prather, Rob Guralnick

    This resource has been updated - find the current version here: https://qubeshub.org/publications/328Natural history collection specimens and associated data provide unique physical and virtual opportunities to engage students in the practice of science in authentic, place-based lessons. We...

  12. 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...

  13. 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...

  14. 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...

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

    0.0 out of 5 stars 

    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...

  16. 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,...

  17. A Framework for Modeling to Encourage Interdisciplinary Conversations

    0.0 out of 5 stars 

    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...

  18. A Framework for Teaching Modeling to Biologists

    0.0 out of 5 stars 

    10 Oct 2016 | Teaching & Reference Material | Contributor(s): Drew LaMar

    This resource has been updated - find the current version here: https://qubeshub.org/publications/210What are the modeling skills and metacognitive strategies of importance for the life sciences? In this talk, we describe a teaching and learning framework around modeling...

  19. BIOQuest Summer Workshop 2016 – Bissell talk notes

    0.0 out of 5 stars 

    23 Jun 2016 | Teaching & Reference Material | Contributor(s): Ahrash Bissell

    This resource has been updated - find the current version here: https://qubeshub.org/publications/325Session title:Distributed creation, community guidance, and OER development: current models and emerging practicesSession description:Open educational resources (OER) encompass teaching,...

  20. 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...

Close

Home

Search