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  1. 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.

  2. 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.

  3. 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.

  4. Introduction to Genome Browser: What is a Gene?

    0.0 out of 5 stars 

    21 Feb 2018 | Teaching & Reference Material | Contributor(s): Joyce Stamm

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/850 Genes encode information that our cells use to carry out their functions. In particular,...

  5. 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...

  6. 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...

  7. 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) 

  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. 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. 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...

  12. Population Genetics: When Darwin Met Mendel - Crash Course Biology

    3.5 out of 5 stars 

    03 Oct 2015 | Teaching & Reference Material | Contributor(s): CrashCourse

    This Youtube video talks about population genetics, which helps to explain the evolution of populations over time by combing the principles of Mendel and Darwin, and by means of the Hardy-Weinberg equation, all in an upbeat, modern and somewhat zany manner.

  13. Using Evolutionary Data in Developing Phylogenetic Trees: A Scaffolded Approach with Authentic Data

    0.0 out of 5 stars 

    01 Oct 2015 | Teaching & Reference Material | Contributor(s): Kd Davenport, Kirsten Jane Milks, Rebecca Van Tassell

    Analyzing evolutionary relationships requires that students have a thorough understanding of evidence and of how scientists use evidence to develop these relationships. In this lesson sequence, students work in groups to process many different lines of evidence of evolutionary relationships...

  14. Quantitative Evolutionary Biology on the QUBESHub

    0.0 out of 5 stars 

    27 Jul 2015 | Teaching & Reference Material | Contributor(s): Kristin Jenkins

    This resource has been updated - find the current version here: https://qubeshub.org/publications/227Welcome to QUBESHub - a virtual meeting space, resource center and collaborative environment for you to enhance quantitative biology in your undergraduate courses.  This space is highly...

  15. A Walk Through the Woods

    4.0 out of 5 stars 

    09 Jul 2015 | Teaching & Reference Material | Contributor(s): Jerome Chave, David Coomes, Steven Jansen, Simon L. Lewis, Nathan G. Swenson, Amy E. Zanne, Gaby Lopez-gonzales, J Illic, RB Miller, MC Wiemann, Samantha Swauger

    This resource has been updated - find the current version here: https://qubeshub.org/publications/274/Wood density data used in this activity are derived from: Zanne AE, Lopez-Gonzalez G, Coomes DA, Ilic J, Jansen S, Lewis SL, Miller RB, Swenson NG, Wiemann MC, Chave J (2009) Data from:...

  16. Joel E. Greengiant Learns About Peas: From Nucleotides to Selection

    0.0 out of 5 stars 

    17 Jun 2015 | Teaching & Reference Material | Contributor(s): Merle Heidemann, Peter J.T. White, Jim Smith

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/845This case study follows purveyors of peas, Joel E. and Jolene Greengiant, as they learn about the origin, biochemistry, genetics and eventual artificial selection of sweet...

  17. Avida-ED User Manual

    0.0 out of 5 stars 

    07 Jun 2015 | Teaching & Reference Material | Contributor(s): Diane Blackwood

    Basic User manual to use Avida-ED

  18. ModelSim Population Biology Unit

    0.0 out of 5 stars 

    18 May 2015 | Teaching & Reference Material

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/902This resource provides rich student modeling activities and materials, teacher resources, and much more, in the realm of agent based models applied to population biology....

  19. Taking a Second Look: Investigating Biology with Visual Datasets

    0.0 out of 5 stars 

    13 Mar 2015 | Teaching & Reference Material | Contributor(s): Ethel Stanley

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/831An article exploring the use of visual datasets as an educational aid for biology students. Article abstract:  Have you considered the use of biological...

  20. BioQUEST: Visual Datasets

    0.0 out of 5 stars 

    13 Mar 2015 | Teaching & Reference Material | Contributor(s): Ethel Stanley

    This resource has been updated - find the current version here: https://qubeshub.org/publications/345This downloadable module features imaginary animals and plants, and is meant to aid students in thinking about questions of evolution, classification, and phylogeny. 

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