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Integrating Natural History Collections into Undergraduate Education: Creating the Resources and Growing the Community
14 Nov 2016 | 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...
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Integrating student research projects into mathematical biology courses
21 Oct 2015 | Contributor(s): Elissa Schwartz
This resource has been updated - find the current version here: https://qubeshub.org/publications/256Interdisciplinary mathematical biology courses have particular challenges. Specific teaching methods are necessary in order to engage students with varying levels of competency in mathematics...
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Introduction to Genome Browser: What is a Gene?
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,...
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Introduction to Genome Browser: What is a Gene?
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,...
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Introductory Science and Mathematics Education for 21st-Century Biologists
24 Feb 2015 | Teaching & Reference Material | Contributor(s): William Bialek, David Botstein
This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/830Article abstract: "Galileo wrote that “the book of nature is written in the language of mathematics”; his quantitative approach to understanding the...
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IPMpack: an R package for Integral Projection Models
19 Jan 2015 | Software (Off-site) | Contributor(s): C. Jessica E. Metcalf, Sean M. McMahon, Roberto Salguero-Gómez, Eelke Jongejans, Cory Merow
This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/779IPMpack is an R package (R Development Core Team 2013) that allows users to build and analyse Integral Projection Models. An IPM is a demographic tool to explore the...
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IQS 2.0: A Modularized Integrated Math and Science Course
21 Oct 2015 | Teaching & Reference Material | Contributor(s): Lester Caudill
This resource has been updated - find the current version here: https://qubeshub.org/publications/252For the past several years, the University of Richmond has offered an Integrated Quantitative Science (IQS) course, integrating introductory courses in five math and science disciplines, to...
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Linear models and linear mixed effects models in R: Tutorial 1
24 Apr 2015 | Teaching & Reference Material | Contributor(s): Bodo Winter
This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/832Linear models and linear mixed models are an impressively powerful and flexible tool for understanding the world. This tutorial is the first of two tutorials that introduce...
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Manual for Using BIRDD
19 Nov 2015 | Teaching & Reference Material | Contributor(s): Sam S Donovan, Frank Price
This resource has been updated - find the current version here: https://qubeshub.org/publications/214This document contains all of the database notes and How-To files from within BIRDD. These can be printed to provide a "manual" for students to refer to. Instructors can distribute...
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MathBench Biology Modules
13 Mar 2015 | Teaching & Reference Material | Contributor(s): Katerina V. Thompson, Kären C. Nelson, Gili Marbach-Ad, Michael Keller, William F. Fagan, Patricia A. Shields
Modules designed to help students understand the math behind the material learned in introductory ecology courses.
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Mathematics for Biologists Problem Workbook
27 Feb 2015 | Teaching & Reference Material | Contributor(s): Juergen Gerlach
This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/748This is a workbook of solved problems created by Dr. Juergen Gerlach at Radford University, for students in Math 119 - Mathematics for Biologists. He is...
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Measuring the Health of the Earth Using the Theory of Island Biography
11 Mar 2015 | Teaching & Reference Material | Contributor(s): Jana Eggleston, Stephanie Renee Campau, Farshid Ahrestani, Holly D Gaff
This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/868Biodiversity has been shown to be a good measure of the health of the planet system (McGrady-Steed et al. 1997). The more species and genetic diversity, the more stable the...
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Mentoring Undergraduate Research Projects in Mathematical Biology
21 Oct 2015 | Teaching & Reference Material | Contributor(s): Timothy Comar
This resource has been updated - find the current version here: https://qubeshub.org/publications/255For several years, we have been mentoring undergraduate research projects in the areas of the dynamics of impulsive differential equation models for pest management and epidemiology and the...
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Modeling Infectious Disease through Contact Networks
25 Mar 2015 | Teaching & Reference Material | Contributor(s): Todd Graham, Claire Seibold, Rebecca Driessen, Hannah Lea Callender
This poster was presented at the University of Portland's Summer Research Symposium on November 9, 2014, in Portland, Oregon. The poster is aimed at readers with little or no background in modeling infectious diseases. The contents provide a brief overview of modeling infectious diseases on...
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Modeling the Mechanisms of Evolution
25 May 2018 | Software (On-site) | Contributor(s): Jackie Matthes
Simulate population-level mechanisms of evolution: genetic drift, gene flow, and natural selection.
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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.
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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.
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Modelling and simulation: helping students acquire this skill using a Stock and Flow approach with MathBench
20 Oct 2015 | Teaching & Reference Material | Contributor(s): Istvan Karsai, Katerina V. Thompson, Kären C. Nelson
Computational and modelling skills are vital to most fields of biological research, yet traditional biology majors have no or little opportunity to develop these skills during their undergraduate education. We describe an approach, which can address this issue by a synergy of...
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ModelSim Population Biology Unit
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....
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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...