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Data Management in Excel and R using National Ecological Observatory Network's (NEON) Small Mammal Data
13 Jan 2021 | Datasets | Contributor(s):
By Marguerite Mauritz1, Sarah McCord2
1. University of Texas at El Paso 2. USDA ARS Jornada Experimental Range
Students use small mammal data from the National Ecological Observatory Network to understand necessary steps of data management from data collection to data analysis by re-organising excel sheets...
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.
Reflective Writing Tools: Building Skills and Habits of Thinking in Becoming a Scientist
25 Dec 2020 | Teaching Materials | Contributor(s):
By Sally Molloy1, William Davis2, Elizabeth Moy3, GC Jernstedt4, Melinda Harrison5, Vinayak Mathur5, Matthew David Mastropaolo6
1. University of Maine 2. Washington State University 3. Southeastern Pennsylvania Consortium for Higher Education 4. Dartmouth College 5. Cabrini University 6. Neumann University
Reflective writing tools are intended to help students better connect current learning experiences to prior learning, engage the role of emotion in current and future learning, and assess learning...
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.