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  1. A Framework for Modeling to Encourage Interdisciplinary Conversations

    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...

  2. A Framework for Teaching Modeling to Biologists

    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...

  3. Wood Density

    15 Oct 2015 | Software (On-site)

    Wood density shiny app

  4. Modeling: A Primer - The crafty art of making, exploring, extending, transforming, tweaking, bending, disassembling, questioning, and breaking models

    26 Feb 2016 | Teaching & Reference Material | Contributor(s): William Wimsatt, Jeff Schank

    This resource has been updated - find the current version here: https://qubeshub.org/publications/346Explore how to use, analyze, and criticize some important and historically influential models in biology in this text only module.

  5. 50 years of Data Science

    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...

  6. AIMS: Dendroclimatology

    21 Dec 2015 | Teaching & Reference Material | Contributor(s): Stockton Maxwell, Jeremy M Wojdak

    This resource has been updated - find the current version here: https://qubeshub.org/publications/544/The AIMS (Analyzing Images to learn Mathematics and Statistics) project was founded on the idea that students don't often care much about analysis until they care about...

  7. Course materials for computational genomics using R

    19 Nov 2015 | Teaching & Reference Material | Contributor(s): Hong Qin

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/907The R code and data are deposited at Github: https://github.com/hongqin/RCompBio 

  8. Modernizing Statistics Education via Biology Applications

    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...

  9. Sting, Carry and Stock: How Corpse Availability Can Regulate De-Centralized Task Allocation in a Ponerine Ant Colony

    20 Oct 2015 | Teaching & Reference Material | Contributor(s): Istvan Karsai, Thomas Schmickl

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/844We develop a model to produce plausible patterns of task partitioning in the ponerine ant Ectatomma ruidum based on the availability of living prey and prey corpses. The...

  10. SIMIODE - Systemic Initiative for Modeling Investigations and Opportunities with Differential Equations

    20 Oct 2015 | Teaching & Reference Material | Contributor(s): Brian Winkel

    SIMIODE - Systemic Initiative for Modeling Investigations and Opportunities with Differential Equations  is about teaching differential equations using modeling and technology upfront and throughout the learning process. You can learn more at our dynamic website, www.simiode.org, where we...

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

    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.

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

    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...

  13. Data Analysis for the Life Sciences

    25 Sep 2015 | Teaching & Reference Material | Contributor(s): Rafael A Irizarry, Michael I Love

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/841An online stats book written completely in R!From the authors:"Data analysis is now part of practically every research project in the life sciences. In this...

  14. Performing a Population Viability Analysis from Data Students Collect on a Local Plant

    23 Sep 2015 | Teaching & Reference Material | Contributor(s): Noah Chamey, Sydne Record

    This resource has been updated - find the current version here: https://qubeshub.org/publications/264During two lab periods, students collect demographic data on perennial plants and then use these data in a matrix model to perform population viability analyses. During the first lab,...

  15. Global Temperature Change in the 21st Century

    23 Sep 2015 | Teaching & Reference Material | Contributor(s): Daniel R. Taub, Gillian S. Graham

    This resource has been updated - find the current version here: https://qubeshub.org/publications/263The Ecological QuestionHow might global temperature change during the 21st century?  How might these changes vary geographically, seasonally, and depending upon future human...

  16. Changes in Lake Ice: Ecosystem Response to Global Change

    23 Sep 2015 | Teaching & Reference Material | Contributor(s): Robert E. Bohanan, Marianne Krasny, Adam Welman

    This resource has been updated - find the current version here: https://qubeshub.org/publications/266Ecological QuestionIs there evidence for global warming in long term data on changes in dates of ice cover in three Wisconsin Lakes?This activity uses ice cover records from three lakes in...

  17. Investigating the Footprint of Climate Change on Phenology and Ecological Interactions in North-Central North America

    23 Sep 2015 | Teaching & Reference Material | Contributor(s): Kellen M. Calinger

    This resource has been updated - find the current version here: https://qubeshub.org/publications/267The Ecological QuestionHave long-term temperatures changed throughout Ohio? How will these temperature changes impact plant and animal phenology, ecological interactions, and, as a result,...

  18. R Commander

    04 Sep 2015 | Software (On-site) | Contributor(s): Drew LaMar

    R provides a powerful and comprehensive system for analysing data and when used in conjunction with the R-commander (a graphical user interface, commonly known as Rcmdr) it also provides one that is easy and intuitive to use.

  19. R Reference Card

    02 Sep 2015 | Teaching & Reference Material | Contributor(s): Tom Short

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/840by Tom Short, EPRI PEAC, tshort@epri-peac.com 2004-11-07Granted to the public domain. See www.Rpad.org for the source and latest version. Includes material from R...

  20. R Shiny Basics

    17 Aug 2015 | Teaching & Reference Material | Contributor(s): Claire K. Lunch, Christine M. Laney

    A nice introduction to building apps with R Shiny. Written by the folks at NEON (National Ecological Observatory Network).