Find information on common questions and issues.
Check on the status of your correspondences with members of the QUBES team.
Scientists Offering Solutions through Sprints
08 Dec 2021 | Teaching Materials | Contributor(s):
By Tonya Bates1, Carlos Christopher Goller2, Lynda Gonzales3, Jennifer Kovacs4, Anne C. Rea5, Crystal Schalmo6, Alice Tarun7
1. UNC Charlotte 2. North Carolina State University 3. University of Texas at Austin 4. Spelman College 5. Maryville College 6. Green Dragon Conservation Education LLC 7. Alfred State College
Our BIOME Fall Working Group, Scientists Offering Solutions through Sprints, explains the process of putting together a Science sprint in your community. A science sprint is a one-day event in...
Webinar: Getting Started with QUBES Educational Library Resources - YouTube
30 Nov 2021 | Teaching Materials | Contributor(s):
By Sam S Donovan
University of Pittsburgh
Follow the link to the webinar video, "Getting Started with QUBES Educational Library Resources". This webinar is intended to help individuals find and use STEM education resources available on the...
Critical inquiry for inclusive teaching of statistics
28 Jun 2021 | Teaching Materials | Contributor(s):
By Carrie Diaz Eaton
Professional development workshop slides to help curate conversations in teaching statistics with a critical inquiry lens.
Choosing healthy data for healthy relationships: how to use 5-point summaries, box and whisker plots, and correlation to understand global health trends.
21 Jun 2021 | Teaching Materials | Contributor(s):
By Andrea Huntoon1, John Doudna2, Pallavi Bhale3, Thalita Abrahão4, Alys Hugo5, Jennifer Lyon Adler6
1. Fox Valley Technical College 2. Lansing Community College 3. Montgomery College 4. Georgia State University Perimeter College 5. Everett Community College 6. Maysville Community and Technical College
This module utilizes a user-friendly database exploring data selection, box-and-whisker plot, and correlation analysis. It also guides students on how to make a poster of their data and conclusions.
Designing an Anti-Racist Syllabus
08 Mar 2021 | Teaching Materials | Contributor(s):
By CSUEB Alliance for the Black Community Education1, Ana Almeida1, Kim Geron1, Pascale S. Guiton1, Nina Haft1, Marlin Halim1, Eve Higby1, Michael Lee1, ZáNean McClain1
California State University East Bay
The Alliance for the Black Community (ABC) developed a workshop to help faculty at California State University East Bay redesign their syllabi to incorporate anti-racist pedagogical practices.
Team microBIOME Fall 2020 - DIY microbiome analysis
25 Nov 2020 | Teaching Materials | Contributor(s):
By Davida Smyth1, Alice Tarun2, Christine Girtain3, Melanie Lenahan4, Maira Goytia, Khuanchivin Geena Sompanya5, Theodore Muth6
1. Texas A&M San Antonio 2. Alfred State College 3. Toms River Regional School NJ 4. Raritan Valley Community College 5. CUNY 6. CUNY Brooklyn College
This is our final team report for this year's BIOME Institute 2020. Learn about what we got up to and what we're planning for Spring 2021. If you want more information on REMNet go...
Anti-bias Education Puppet Plays
28 Jul 2020 | Teaching Materials | Contributor(s):
By Julia Robinson
Cecilia Berg Center for Environmental Education; Hefner Museum of Natural History; Miami University
Nature provides science content for teacher preparation certification programs and the backdrop for puppet plays used as a springboard for teaching the NAEYC's four goals of Anti-bias...
Molecular Basis of Sickle Cell Disease
15 Jun 2020 | Teaching Materials | Contributor(s):
By Didem Vardar-Ulu
Boston University, Chemistry Department
This multi part case on hemoglobin structure as it relates to oxygen binding and sickle cell disease focuses on utilizing bioinformatics and molecular visualization tools to learn about the sickle...
MAA Emergency Online Teaching Toolkit
27 Mar 2020 |
Posted by Carrie Diaz Eaton
10 Oct 2019 |
Posted by Megan A. Jones Patterson
BAG Lab Manual Yeast
30 May 2019 | Teaching Materials | Contributor(s):
By Lisa Scheifele
Loyola University Maryland
This is the lab manual for yeast chromosome synthesis
Statistics for Biologists
30 Oct 2018 | Teaching Materials | Contributor(s):
By Magdalena Skipper1, Ritu Dhand1, Helen Pearson1, Francesca Cesari1
There is no disputing the importance of statistical analysis in biological research, but too often it is considered only after an experiment is completed, when it may be too late.
Data from: Advancing population ecology with integral projection models: a practical guide
23 Oct 2018 | Teaching Materials | Contributor(s):
By Cory Merow, Johan Dahlgren, Jessica Metcalf, Dylan Childs, Margaret Evans, Eelke Jongejans, Sydne Record, Mark Rees, Roberto Salguero-Gómez, Sean McMahon
Review important resources for building IPMs and provide a comprehensive guide, with extensive R code, for their construction.
A Very Basic Tutorial for Performing Linear Mixed Effects Analyses: Tutorial 2
20 Oct 2018 | Teaching Materials | Contributor(s):
By Bodo Winter
University of California, Merced
The second of two tutorials that introduce you to linear and linear mixed models. This tutorial serves as a quick boot camp to jump-start your own analyses with linear mixed effects models.
Linear Models and Linear Mixed Effects in R: Tutorial 1
The first of two tutorials that introduce you to linear and linear mixed models.
Towards better modelling and decision support: Documenting model development, testing, and analysis using TRACE
By Jacqueline Augusiak1, Andreas Focks1, Béatrice M. Frank2, Faten Gabsi3, Alice S.A. Johnston4, Chun Liu4, Benjamin T. Martin5, Mattia Meli6, Viktoriia Radchuk2, Pernille Thorbek7, Steven F Railsback8, Volker Grimm9
1. Wageningen University, Aquatic Ecology and Water Quality Management Group, Wageningen University and Research Centre, P.O. Box 47, 6700 AA Wageningen, The Netherlands 2. Université Catholique de Louvain, Earth and Life Institute, Croix du Sud 2, 1348 Louvain-la-Neuve, Belgium 3. RWTH Aachen University, Institute for Environmental Research, Worringerweg 1, 52074 Aachen, Germany 4. University of Reading, School of Biological Sciences, Philip Lyle Building, Room 405, Reading RG6 6AS, UK 5. University of California Santa Barbara, Department of Ecology, Evolution, and Marine Biology, Santa Barbara, CA 93106-9620, USA 6. Roskilde University, Department of Environmental, Social and Spatial Change, Universitetsvej 1, P.O. Box 260, 4000 Roskilde, Denmark 7. yngenta, Environmental Safety, Jealott's Hill International Research Centre, Bracknell, Berkshire RG42 6EY, UK 8. Lang Railsback & Associates 9. Unknown
We introduce TRACE, a framework for documenting model testing and analysis. TRACE is based on the recently proposed framework of model "evaluation" , and is designed to make models fit for...
Advancing population ecology with integral projection models: a practical guide
By Cory Merow1, Johan Dahlgren2, Jessica Metcalf3, Dylan Childs4, Margaret Evans5, Eelke Jongejans6, Sydne Record7, Mark Rees4, Roberto Salguero-Gómez8, Sean McMahon9
1. Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT, USA 2. Department of Ecology, Environment and Plant Sciences, Stockholm University, Stockholm, Sweden 3. Department of Zoology, Oxford University, Oxford, UK 4. Department of Animal and Plant Sciences, University of Sheffield, Sheffield, UK 5. Laboratory of Tree-Ring Research and Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, USA 6. Department of Animal Ecology and Ecophysiology, Institute for Water and Wetland Research, Radboud University Nijmegen, Nijmegen, The Netherlands 7. Harvard University, Harvard Forest, Petersham, MA, USA 8. Centre for Biodiversity and Conservation Science, University of Queensland, St Lucia, Qld, Australia 9. Smithsonian Environmental Research Center, Edgewater, MD, Edgewater, MD, USA
Integral projection models (IPMs) use information on how an individual's state influences its vital rates – survival, growth and reproduction – to make population projections using regression...
R for biologists
18 Oct 2018 | Teaching Materials | Contributor(s):
By Marco Martinez
University of Tennessee - Knoxville
An introductory guide to data analysis in R for life sciences researchers.
Mathematics for Biologists Problem Workbook
22 Aug 2018 | Teaching Materials | Contributor(s):
By Juergen Gerlach
This is a workbook of solved problems created by Dr. Juergen Gerlach at Radford University
SUMS4Bio - Video tutorials in math and stats for biology students
By Jeremy M Wojdak1, Caleb Adams1, Dan Metz1
Links to videos and pdf tutorials for core mathematical and statistical concepts used in biology