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The Ames Test
08 Jan 2021 | Teaching Materials | Contributor(s):
By Nathan Goodson-Gregg, Elizabeth A. De Stasio
Introduction to the Ames Test, published as GSA Learning Resource
Investigating human impacts on Southeastern US stream ecology using R
01 Jan 2021 | Teaching Materials | Contributor(s):
By Alicia Caughman1, Emily Weigel1
Georgia Institute of Technology
Adaptation of the "Investigating human impacts on stream ecology: Scaling up from Local to National with a focus on the Southeast" specifically to focus on self-paced R code instruction
Yeti or not: Do they exist?
31 Dec 2020 | Teaching Materials | Contributor(s):
By Keith Johnson1, Adam Kleinschmit2, Jill Rulfs3, William (Bill) Morgan4
1. Bradley University College of Liberal Arts and Sciences 2. University of Dubuque 3. Worcester Polytechnic Institute 4. The College of Wooster
Through this 4-part bioinformatics case study, students will be led through the forensic analysis of putative Yeti artifacts based on published findings.
Investigating Evidence for Climate Change (Project EDDIE) with CO2 and 13CO2 data: adapted for R
23 Dec 2020 | Teaching Materials | Contributor(s):
By Marguerite Mauritz
University of Texas at El Paso
This is an adaptation to work in R of Investigating Evidence for Climate Change (Project) by Hage, M. 2020. Students will investigate geologic and modern evidence for global temperature and...
Biostatistics using R: A Laboratory Manual
By Raisa Hernández-Pacheco1, Alexis A Diaz1
California State University-Long Beach
Biostatistics Using R: A Laboratory Manual was created with the goals of providing biological content to lab sessions by using authentic research data and introducing R programming language to...
Chapter 11: Correlation and regression analyses
Biostatistics Using R: A Laboratory Manual was created with the goals of providing biological content to lab sessions by using authentic research data and introducing R programming language....
Chapter 10: Two-way analysis of variance
Chapter 9: One-way analysis of variance
Chapter 8: Comparing two means: the t-test
Chapter 7: The normal distribution
Chapter 6: Population proportions and the binomial distribution
Chapter 5: Hypothesis testing
Chapter 4: Probability distributions
Chapter 3: Visualizing data
Chapter 2: Data sampling, accuracy, and precision
Chapter 1: Introduction to R and RStudio
Introduction to R with Biodiversity Data
16 Dec 2020 | Teaching Materials | Contributor(s):
By Shelly Gaynor
University of Florida
Students will learn R basics while downloading biodiversity data from multiple data repositories. This module will walk students through installing R, navigating R,writing reproducible scripts in...
14 Dec 2020 | Teaching Materials | Contributor(s):
By Michael Edward Moore1, Tracey Sulak2, Marty Harvill2, Penny Thompson3, Brad Christian4
1. University of California Davis 2. Baylor University 3. Oklahoma State University 4. McLennan Community College
A description of the new NSF INCLUDES iBEARS network including background, project goals, project outcomes, connections to be made through QUBES, and future directions.
An Adaptation of "Plants in the Human-Altered Environment (PHAE)" for 100% Remote Learning at East Stroudsburg University
11 Dec 2020 | Teaching Materials | Contributor(s):
By Emily Rollinson
East Stroudsburg University
PHAE is a project to compare effects of landscape alteration intensities on plant diversity. This adaptation modified and extends the modules to suit fully remote learning (data collected...
Is bigger always better? An investigation on the effect of drought on different sizes of trees
By Jessica Brzyski
Seton Hill University
This data set was compiled from worldwide data to examine the effects of drought on trees. Included in the dataset are measurements of growth and mortality as they relate to the size category of...