Find information on common questions and issues.
Check on the status of your correspondences with members of the QUBES team.
NEON Data in the Classroom: Quantifying Spatial Patterns
23 Jul 2020 | Teaching Materials | Contributor(s):
By Kusum Naithani
University of Arkansas, Fayetteville, AR 72701
Students build on fundamental concepts of spatial patterns and combine this knowledge with the open-data from the National Ecological Observatory Network to quantify spatial autocorrelation and...
An introduction to population matrix models: a swirl lesson
15 Jun 2020 | Teaching Materials | Contributor(s):
By Jennifer Apple
Students will learn how to set up a population matrix model in R and use it for demographic analysis of a population, including projecting population growth, determining lambda and the stable age...
Remote sensing data processing – NEON airborne data
10 Jun 2020 | Teaching Materials | Contributor(s):
By Yingying Xie
Concepts of remote sensing and data logistics, and NEON remote sensing data are introduced. Students learn how to apply spatial data processing and visualization skills using R coding program to...
Cleaning Data with R and the Tidyverse in Swirl
09 Jun 2020 | Teaching Materials | Contributor(s):
By Rachel Hartnett
Oklahoma State 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...
Coding Club: A Positive Peer-Learning Community
22 Apr 2020 | Teaching Materials | Contributor(s):
By Gergana Daskalova1, Sandra Angers-Blondin1, John Godlee1, Izzy Rich1, Beverly Tan1, Declan Valters1, Haydn Thomas1, Pedro Miranda1, Gabriela Hajduk1, Kat Keogan1, Isla Myers-Smith1, Kyle Dexter1, Christina Coakley1
University of Edinburgh
Free and self-paced tutorials and courses for learning to code out of the University of Edinburgh
SEIR simulation activity for flattening the curve
12 Mar 2020 | Teaching Materials | Contributor(s):
By Carrie Diaz Eaton
Bates College and QUBES
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...
Population Ecology in Swirl: Estimating Population Sizes
12 Feb 2020 | Teaching Materials | Contributor(s):
By Mary E McWhirt, Emily Weigel1
Georgia Institute of Technology
The students will learn to estimate population sizes and consider assumptions of mathematical models and their applicability to the ecology of an organism/population
26 Sep 2019 | Teaching Materials | Contributor(s):
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...
An Introduction to the R Programming Environment
04 Jan 2019 | Teaching Materials | Contributor(s):
By K. A. Garrett1, P. D. Esker1, A. H. Sparks1
Kansas State University
An online module introducing students and biologists to R, published in American Phytopathological Society
Working with plant phenology data and fitting a nonlinear model using least squares in R
21 Dec 2018 | Teaching Materials | Contributor(s):
By Madeleine Bonsma-Fisher1, Ahmed Hasan1
University of Toronto
A participatory live-coding lesson on working with NEON phenology data and fitting a sine-wave model todetermine when different species get and lose their leaves.
Introduction to R Course
05 Nov 2018 | Teaching Materials
Free Introduction to R Course at DataCamp
DataCamp: The Easiest Way to Learn Data Science Online
Computational Biology using R
30 Oct 2018 | Teaching Materials | Contributor(s):
By Hong Qin
University of Tennessee Chattanooga
This is an introductory level course on computational biology.
BIO103R: Bio 103 and 104 Labs in R at URI
29 Oct 2018 | Teaching Materials | Contributor(s):
By Rachel Schwartz1, Linda Forrester1
University of Rhode Island
GitHub repository for Bio 103 and 104 Labs in R at University of Rhode Island
BIO 263 Ecological Data Analysis
Course materials for BIO 263 Ecological Data Analysis
BIO 439/539: Big Data Analysis
Course materials for BIO 439/539: Big Data Analysis
BIO 181G: The information age
Course materials for BIO181G: The information age
Data Analysis for the Life Sciences
23 Oct 2018 | Teaching Materials | Contributor(s):
By Rafael A Irizarry1, Michael I Love1
An online stats book written completely in R
R Reference Card
By Tom Short
Summary of reference info for using R