Support

Support Options

  • Knowledge Base

    Find information on common questions and issues.

  • Support Messages

    Check on the status of your correspondences with members of the QUBES team.

Contact Us

About you
About the problem

Tags: Tutorial

All Categories (1-20 of 40)

  1. STATS4STEM

    Collections | 10 Oct 2019 | Posted by Megan A. Jones

    https://qubeshub.org/community/groups/neon2018/collections/data-centric-teaching-resources

  2. 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

    https://qubeshub.org/qubesresources/publications/1241/?v=1

  3. Statistics for Biologists

    30 Oct 2018 | Teaching Materials | Contributor(s):

    By Magdalena Skipper1, Ritu Dhand1, Helen Pearson1, Francesca Cesari1

    Nature

    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.

    https://qubeshub.org/qubesresources/publications/897/?v=1

  4. 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.

    https://qubeshub.org/qubesresources/publications/853/?v=1

  5. 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.

    https://qubeshub.org/qubesresources/publications/833/?v=1

  6. Linear Models and Linear Mixed Effects in R: Tutorial 1

    20 Oct 2018 | Teaching Materials | Contributor(s):

    By Bodo Winter

    University of California, Merced

    The first of two tutorials that introduce you to linear and linear mixed models.

    https://qubeshub.org/qubesresources/publications/832/?v=1

  7. Towards better modelling and decision support: Documenting model development, testing, and analysis using TRACE

    20 Oct 2018 | Teaching Materials | Contributor(s):

    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...

    https://qubeshub.org/qubesresources/publications/829/?v=1

  8. Advancing population ecology with integral projection models: a practical guide

    20 Oct 2018 | Teaching Materials | Contributor(s):

    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...

    https://qubeshub.org/qubesresources/publications/824/?v=1

  9. 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.

    https://qubeshub.org/qubesresources/publications/815/?v=1

  10. Mathematics for Biologists Problem Workbook

    22 Aug 2018 | Teaching Materials | Contributor(s):

    By Juergen Gerlach

    Radford University

    This is a workbook of solved problems created by Dr. Juergen Gerlach at Radford University

    https://qubeshub.org/qubesresources/publications/748/?v=1

  11. SUMS4Bio - Video tutorials in math and stats for biology students

    22 Aug 2018 | Teaching Materials | Contributor(s):

    By Jeremy M Wojdak1, Caleb Adams1, Dan Metz1

    Radford University

    Links to videos and pdf tutorials for core mathematical and statistical concepts used in biology

    https://qubeshub.org/qubesresources/publications/747/?v=1

  12. A Primer for Computational Biology by Scott O'Neil

    Collections | 19 Jun 2018 | Posted by Sam S Donovan

    https://qubeshub.org/community/groups/summer2018/collections/data-science-resources

  13. A Primer for Computational Biology by Scott O'Neil

    Collections | 13 Jun 2018 | Posted by Carlos Christopher Goller

    https://qubeshub.org/community/groups/hits/collections/learning-tools-how-to-use-analysis-tools

  14. Data Carpentry

    Collections | 13 Jun 2018 | Posted by Carlos Christopher Goller

    https://qubeshub.org/community/groups/hits/collections/learning-tools-how-to-use-analysis-tools

  15. Software Carpentry

    Collections | 13 Jun 2018 | Posted by Carlos Christopher Goller

    https://qubeshub.org/community/groups/hits/collections/learning-tools-how-to-use-analysis-tools

  16. CyVerse Tutorials for NEON Data Science Institute 2018

    11 Jun 2018 | Teaching Materials | Contributor(s):

    By Tyson Lee Swetnam1, Megan A. Jones2

    1. University of Arizona BIO5 Institute, CyVerse 2. National Ecological Observatory Network

    Resource for conducting data intensive research on CyVerse

    https://qubeshub.org/qubesresources/publications/640/?v=1

  17. Visualizing Global CO2 Emissions

    10 May 2018 | Teaching Materials | Contributor(s):

    By Yen-Chu Weng

    University of Washington

    Using CO2 emissions data, students will learn how to visualize data with Tableau Public. The teaching materials are suitable for upper-level undergraduate courses on data analysis and research...

    https://qubeshub.org/qubesresources/publications/521/?v=1

  18. Latex and Matlab tutorials by Erin Bodine

    Collections | 01 Jun 2017 | Posted by Carrie Diaz Eaton

    https://qubeshub.org/community/groups/mural/collections/foundational-andor-entry-level-modeling-courses

  19. Learn to use R: Your hands-on guide

    Collections | 18 Jun 2016 | Posted by Drew LaMar

    https://qubeshub.org/community/groups/teaching_r/collections/internet-resources-for-learning-r

  20. Confidence limits for the mean

    Collections | 18 Jun 2016 | Posted by Drew LaMar

    https://qubeshub.org/community/groups/abd/collections/visualizing-statistics