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3D breast cancer tissue reconstruction
24 Aug 2018 | Teaching Materials | Contributor(s):
By Jeremy M Wojdak1, Kerri-Ann Norton2
1. Radford University 2. Johns Hopkins University
This module allows students to follow a researcher as she discovers new features of breast cancer tissue architecture, using 3D reconstructions of histological specimens.
17 Sep 2018 | Teaching Materials | Contributor(s):
A Walk Through the Woods
09 Jan 2018 | Teaching Materials | Contributor(s):
By Jerome Chave1, David Coomes2, Steven Jansen3, Simon Lewis4, Nathan Swenson5, Amy Zanne6, Gaby Lopez-Gonzales7, J Ilic, RB Miller8, MC Wiemann9, Samantha Swauger10
1. The Academy of Europe 2. Cambridge University 3. Ulm University 4. University College London 5. University of Maryland 6. The George Washington University 7. University of Leeds 8. University of California, Berkeley 9. University of Florida 10. DryadLab
Data driven curriculum module from Dryad Digital Repository
BIOMAAP 'Official' Figure of the Day
17 Jan 2018 |
Posted by Arietta Fleming-Davies
BS Inventory assignment
10 Nov 2020 | Teaching Materials | Contributor(s):
By Carrie Diaz Eaton
Bates College and QUBES
This is a written assignment with a recommended process and grading rubric to go with the BS Inventory assignment on callingbull.org.
Caitlin Hicks Pries
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
Collecting and analyzing binomial data
out of 5 stars
17 Jul 2020 | | Contributor(s):: Suann Yang, Darcy Taniguchi, Jenny Hazlehurst
In this tool, students watch an Internet cat video, collect binomial data on cat paw usage, and graph and analyze the data with a binomial test in R using the swirl package.
Communicating with Data: Digital Data Resources
22 Mar 2020 | Teaching Materials | Contributor(s):
By Anna Monfils1, Debra Linton1
Central Michigan University
Students access, clean, configure, and standardize a dataset and create a relevant and scientifically valid data visualization to communicate science.
23 Mar 2020 | Teaching Materials | Contributor(s):
By Anna Monfils
This is an introduction to the idea of data visualization and the importance of presenting data for understanding.
Data visualization (Part 2)
01 Feb 2016 |
Posted by Drew LaMar
06 Nov 2016 | | Contributor(s):: Drew LaMar
This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/913The Easiest Way to Learn Data Science OnlineMaster data analysis from the comfort of your browser, at your own pace, tailored to your needs and expertise. Whether...
05 Nov 2018 | Teaching Materials
DataCamp: The Easiest Way to Learn Data Science Online
By Jeremy M Wojdak1, R. S. Maxwell1
Dendroclimatologists can reconstruct climate records further into the past than written records, by examining tree rings. Students "reverse-engineer" this process by considering growth...
Dendroclimatologists can reconstruct climate records further into the past than written records, by examining tree rings. Students "reverse-engineer" this process by considering growth rates of a...
Earth Analytics Bootcamp Course
15 Oct 2019 | Teaching Materials | Contributor(s):
By Jenny Palomino1, Leah Wasser
Earth Lab - University of Colorado, Boulder
The Earth Analytics Bootcamp is a three-week introductory-level course taught by instructors in Earth Lab and is a part of the Professional Certificate in Earth Data Analytics - Foundations at CU...
Earth Analytics in R Course
By Leah Wasser
Earth analytics is an advanced, multidisciplinary course that addresses major questions in Earth science and teaches students to use the analytical tools necessary to undertake exploration of...
Get Started With GIS in Open Source Python Workshop
By Leah Wasser1, Jenny Palomino1, Joe McGlinchy1
There are a suite of powerful open source python libraries that can be used to work with spatial data. Learn how to use geopandas, rasterio and matplotlib to plot and manipulate spatial data in...
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.