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MAA Emergency Online Teaching Toolkit
27 Mar 2020 |
Posted by Carrie Diaz Eaton
10 Oct 2019 |
Posted by Megan A. Jones
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
A Primer for Computational Biology by Scott O'Neil
19 Jun 2018 |
Posted by Sam S Donovan
13 Jun 2018 |
Posted by Carlos Christopher Goller
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
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...
Latex and Matlab tutorials by Erin Bodine
01 Jun 2017 |
Posted by Carrie Diaz Eaton
Learn to use R: Your hands-on guide
18 Jun 2016 |
Posted by Drew LaMar