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Thinking deeply about quantitative analysis: Building a Biologist's Toolkit
26 Aug 2021 | Teaching Materials | Contributor(s):
By Sarah Bray1, Paul Duffin1, James D. Wagner1
Vision and Change in Undergraduate Biology Education encouraged faculty to focus on core concepts and competencies in undergraduate curriculum. We created a sophomore-level course, Biologists'...
15 Jul 2021 | Teaching Materials | Contributor(s):
By Derek Edward Sollberger
UC Merced School of Natural Sciences
Presentation on using the LearnR software in teaching. Presented at the 2021 BIOME Institute
Life in Urban Environments: The Impact of Urbanization on Life-History Traits in Amphibian Species
13 May 2021 | Teaching Materials | Contributor(s):
By Madison Whitehurst
This lesson focuses on urbanization and its negative effects on species, specifically amphibians. The lesson will also provide hands-on statistical analyses and critical thinking questions to...
Carbon Sequestration and the Urban heat Island Effect
12 May 2021 | Teaching Materials | Contributor(s):
By Evan Blais
Virginia Commonwealth University
An urban heat island is an urban or metropolitan area that is on average far warmer than the surrounding rural areas. In this lesson we will study the impact these warmer temperatures have on the...
Case Study — World records as measures of senescence or randomness
12 Nov 2020 | Teaching Materials | Contributor(s):
By Carrie Diaz Eaton1, Carl Bergstrom2, Jevin West2
1. Bates College and QUBES 2. University of Washington
This is a project meant to accompany the Case Study that Carl Bergstrom, which uses R to explore whether declining track and field world record performance could be an artifact of sample size (less...
Case Study - Storks vs Babies
11 Nov 2020 | Teaching Materials | Contributor(s):
By Carrie Diaz Eaton
Bates College and QUBES
This is a R project based on the Robert Matthews paper Storks vs Babies. The idea is to replicate the results of the paper, learn a bit about R for linear fits and graphing and explore correlation...
Calling Bull Case Study — 99.9% Caffeine-free with R
This is an adaptation of Calling Bull's Case Study on how caffeine free is hot chocolate versus coffee in order to make it into a student project that uses R.
Cleaning Biodiversity Data: A Botanical Example Using Excel or RStudio
16 Jul 2020 | Teaching Materials | Contributor(s):
By Michelle Gaynor
University of Florida
Access and clean an open source herbarium dataset using Excel or RStudio.
Cleaning Data with R and the Tidyverse in Swirl
09 Jun 2020 | Teaching Materials | Contributor(s):
By Rachel Hartnett
Mount St. Mary's University
The overall goal is to help students learn common data cleaning procedures on a dataset once they’ve collected measurements and before they are able to start their analysis. This swirl lesson is...
SEIR simulation activity for flattening the curve
12 Mar 2020 | Teaching Materials | Contributor(s):
This is a short exploration activity to introduce SIR and SEIR models without explicitly introducing differential equations. It utilizes the R package EpiDynamics and students can run the...
REMNet Tutorial, R Part 5: Normalizing Microbiome Data in R 5.2.19
28 Aug 2019 | Teaching Materials | Contributor(s):
By Jessica Joyner
CUNY Brooklyn College
Video on normalizing microbiome data from the Research Experiences in Microbiomes Network
NMDS to Study Dead Wood Fungi Communities in Parks of New Jersey
30 Jul 2019 | Teaching Materials | Contributor(s):
By Maria Shumskaya1, Christopher Zambell1
Students use dead wood (saproxylic) fungi occurrence data from New Jersey, USA collected by students and faculty of Kean University to learn the basics of community ecology. Simple NMDS ordination...
Working with Datasets in R swirl
15 May 2019 | Teaching Materials | Contributor(s):
By Caitlin Hicks Pries
The goal of this lesson is to learn how to import datasets into R, understand variable types, make adjustments to variables, perform basic calculations, and begin data visualization. The exercise...
Milane Carrington Gooden
Histograms and Boxplots
21 Jan 2019 | Teaching Materials | Contributor(s):
By Suann Yang
This lesson, created for an introductory ecology course, focuses on helping novice R users to import a data file, apply base R plotting functions, and use R Markdown to generate a reproducible report.
J. Stephen Gosnell
RStudio IDE Cheat Sheet
22 Jan 2016 |
Posted by Drew LaMar