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Data Analysis for the Life Sciences
23 Oct 2018 | Teaching Materials | Contributor(s):
By Rafael A Irizarry1, Michael I Love1
Harvard University
An online stats book written completely in R
https://qubeshub.org/publications/841/?v=1
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DataCamp
05 Nov 2018 | Teaching Materials
DataCamp: The Easiest Way to Learn Data Science Online
https://qubeshub.org/publications/913/?v=1
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Ecology and Epidemiology in R
22 Oct 2018 | Teaching Materials | Contributor(s):
By Paul Esker
Kansas State University
Ecology and epidemiology in R: Modeling dispersal gradients.
https://qubeshub.org/publications/837/?v=1
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Ingestion of Microplastics by Coral
12 May 2021 | Teaching Materials | Contributor(s):
By Alyssa Hoekstra
QUBES lesson on ingestion of microplastics by coral. Lesson will give environmental background and then use R for hands-on statistical analyses, followed by critical thinking questions.
https://qubeshub.org/publications/2350/?v=1
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Introduction to R Course
05 Nov 2018 | Teaching Materials
Free Introduction to R Course at DataCamp
https://qubeshub.org/publications/914/?v=1
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IPMpack: an R package for Integral Projection Models
11 Sep 2018 | Teaching Materials | Contributor(s):
By C. Jessica E. Metcalf1, Sean M. McMahon2, Roberto Salguero-Gómez3, Eelke Jongejans4, Cory Merow5
1. University of Oxford 2. Smithsonian Tropical Research Institute 3. University of Queensland 4. Radbound University Nijmegen 5. STRI and University of Connecticut
IPMpack is an R package (R Development Core Team 2013) that allows users to build and analyse Integral Projection Models.
https://qubeshub.org/publications/779/?v=1
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Learning R for Biologists: A Mini Course Grab-Bag for Instructors
21 Mar 2023 | Teaching Materials | Contributor(s):
By Amanda D. Clark1, Laurie S. Stevison*1
Auburn University
As biology becomes more data driven, teaching students data literacy skills has become central to biology curriculum. Despite a wealth of online resources that teach researchers how to use R, there...
https://qubeshub.org/publications/3698/?v=1
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Linear Models and Linear Mixed Effects in R: Tutorial 1
20 Oct 2018 | Teaching Materials | Contributor(s):
By Bodo Winter
University of California, Merced
The first of two tutorials that introduce you to linear and linear mixed models.
https://qubeshub.org/publications/832/?v=1
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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...
https://qubeshub.org/publications/1398/?v=1
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NMDS to Study Dead Wood Fungi Communities in Parks of New Jersey
30 Jul 2019 | Teaching Materials | Contributor(s):
By Maria Shumskaya1, Christopher Zambell1
Kean University
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...
https://qubeshub.org/publications/1367/?v=1
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Painting turtles: an introduction to species distribution modeling in R
12 Jun 2018 | Teaching Materials | Contributor(s):
By Anna Carter
Iowa State University
This module uses R software to introduce students to the process of accessing databases and building species distribution models based on occurrence records.
https://qubeshub.org/publications/378/?v=1
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Pennies to The Moon Data Byte Series
09 May 2024 | Teaching Materials | Contributor(s):
By Carrie Diaz Eaton1, Sadie Kriegler
Unity College
This series of Rbyte activities explores the concept of debunking using Fermi Estimation, R, and ChatGPT.
https://qubeshub.org/publications/4786/?v=1
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Performing a Population Viability Analysis from Data Students Collect on a Local Plant
05 Jan 2018 | Teaching Materials | Contributor(s):
By Noah Chamey1, Sydne Record2
1. Hampshire College 2. Harvard University
Experiment included in Teaching Issues and Experiments in Ecology (TIEE) Volume 9
https://qubeshub.org/publications/264/?v=1
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Phenotypic plasticity and predation
29 Aug 2018 | Teaching Materials | Contributor(s):
By Jeremy M Wojdak1, Justin Touchon2
1. Radford University 2. Vassar College
Students predict changes to tadpole morphology and coloration after considering characteristics of the predator species and the prey themselves then test their own hypotheses (typically with...
https://qubeshub.org/publications/545/?v=2
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Phenotypic plasticity and predation
24 Aug 2018 | Teaching Materials | Contributor(s):
By Jeremy M Wojdak1, Justin Touchon2
1. Radford University 2. Vassar College
Students predict changes to tadpole morphology and coloration after considering characteristics of the predator species and the prey themselves then test their own hypotheses (typically with...
https://qubeshub.org/publications/545/?v=1
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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
https://qubeshub.org/publications/1353/?v=2
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Population Ecology in Swirl: Estimating Population Sizes
26 Sep 2019 | 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
https://qubeshub.org/publications/1353/?v=1
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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.
https://qubeshub.org/publications/815/?v=1
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R Reference Card
23 Oct 2018 | Teaching Materials | Contributor(s):
By Tom Short
EPRI PEAC
Summary of reference info for using R
https://qubeshub.org/publications/840/?v=1
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Remote sensing data processing – NEON airborne data
10 Jun 2020 | Teaching Materials | Contributor(s):
By Yingying Xie
Northern Kentucky University
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...
https://qubeshub.org/publications/1905/?v=1