Find information on common questions and issues.
Check on the status of your correspondences with members of the QUBES team.
Following the Data
02 Apr 2020 | Teaching Materials | Contributor(s):
By Anna Monfils1, Debra Linton1, Molly Phillips2, Libby Ellwood3
1. Central Michigan University 2. iDigBio, Florida Museum of Natural History, University of Florida 3. iDigBio
The video and exercise provides insight into how researchers are using digital data resources to investigate biodiversity in prairie fen wetlands.
Searching for disability as biodiversity in digitized natural history collections
27 Mar 2020 | Teaching Materials | Contributor(s):
By Kaitlin Stack Whitney
Rochester Institute of Technology
This module uses digitized natural history and biodiversity collections to explore if, how, and whether disability can be studied in nonhumans as a form of biodiversity.
23 Mar 2020 | Teaching Materials | Contributor(s):
By Anna Monfils
Central Michigan University
This is an introduction to the idea of data visualization and the importance of presenting data for understanding.
Communicating with Data: Digital Data Resources
22 Mar 2020 | Teaching Materials | Contributor(s):
By Anna Monfils1, Debra Linton1
Students access, clean, configure, and standardize a dataset and create a relevant and scientifically valid data visualization to communicate science.
Communicating with Data: Infographic with Digital Data
Working collaboratively in teams of 2-4 researchers, students engage in targeted projects to address critical information and research needs using digital biodiversity data.
21st Century STEM Workforce Skills
This activity includes a leadership assessment and associated exercise to encourage the development of 21st Century STEM Skills.
GBIF Tutorial - BLUE Resource
19 Mar 2020 | Teaching Materials | Contributor(s):
By Libby Ellwood
A user guide and video instructions for GBIF
iDigBio Tutorial - BLUE Resource
By Molly Phillips
iDigBio, Florida Museum of Natural History, University of Florida
A user guide and video instructions for iDigBio
Arctos Tutorial - BLUE Resource
By Erica Krimmel
A user guide and video instructions for Arctos
By Rebecca Renirie
Data ethics and the use of digital data
Does Organelle Shape Matter? Exploring Cell Shape through the Allen Cell Explorer and High-content Microscopy Datasets
13 Mar 2020 | Teaching Materials | Contributor(s):
By Carlos Christopher Goller1, Kaitlyn Casimo
North Carolina State University
The morphology and localization of structures inside the cell are often assumed to fit the ideal images found in biology textbooks. This interrupted case study using high-throughput microscopy data...
Investigating Evidence for Climate Change (Project EDDIE)
18 Feb 2020 | Teaching Materials | Contributor(s):
By Melissa Hage
Oxford College of Emory University
This multi-part activity allows students to discover the relationships between CO2 and temperature and how these variables have changed over time using real-world data.
Water Quality Investigation (Project EDDIE)
This multi-part module aims to help you learn about water quality implications by understanding the variability of concentrations of nitrate in stream water through the evaluation of real-time data...
Chi-squared test of independence between two categorical variables
13 Feb 2020 | Teaching Materials | Contributor(s):
By Matthew Aiello-Lammens
In this lesson, students will have the opportunity to work through a chi-squared test of independence between two categorical variables.
Responses to Climate Change in California Chipmunks: Move, Adapt, or Die
10 Feb 2020 | Teaching Materials | Contributor(s):
By Talisin Hammond1, Rachel E. Walsh2, Eileen Lacey3
1. San Diego Zoo Institute for Conservation Research 2. University of California, Berkeley 3. Museum of Vertebrate Zoology, UC Berkeley
A series of three modules using data from natural history museum collections to examine responses to climate change in multiple chipmunk species. Elevation and morphological data, beginner skills...
27 Jan 2020 | Teaching Materials | Contributor(s):
By Emily Weigel1, Alycia Lackey2
1. Georgia Institute of Technology 2. Binghamton University
The students will practice identifying the appropriate basic statistical tests when given a scenario and learn how to run and interpret those statistical tests in R.
Exploring the evolution of caffeine biosynthesis enzymes
22 Jan 2020 | Teaching Materials | Contributor(s):
By Shuchismita Dutta
RCSB Protein Data Bank, Rutgers University
Caffeine is a very common stimulant consume worldwide as tea, coffee, mate, cocoa, and chocolate. Ever wondered why plants make caffeine? Do all caffeine producing plants have the same enzymes for...
Graphing grouped continuous data in R with swirl
13 Jan 2020 | Teaching Materials | Contributor(s):
By Marney Pratt
This lesson helps students know some of the options for how to graph grouped continuous data (such as those involved in doing a t-test or ANOVA) and how to choose the best option.
Conducting Analysis of Variance (ANOVA) in R with swirl
By Kevin Geyer
Young Harris College
This lesson offers an introduction to ANOVA, including 1) how this statistical test can be differentiated from others and 2) a step-by-step guide to conducting and interpreting ANOVA results in R,...
Interpreting one-factor ANOVA in R with swirl
By Jeremy Claisse
Cal Poly Pomona
Interpreting One-Factor Analysis of Variance (ANOVA)