Teaching Materials (1-20 of 32)

1. 3D breast cancer tissue reconstruction

   17 Sep 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.

   https://qubeshub.org/publications/543/?v=2

2. 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.

   https://qubeshub.org/publications/543/?v=1

3. 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

   https://qubeshub.org/publications/274/?v=1

4. 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.

   https://qubeshub.org/publications/2121/?v=1

5. 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

   https://qubeshub.org/publications/1816/?v=1

6. 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.

   https://qubeshub.org/publications/1779/?v=1

7. Data Visualization

   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.

   https://qubeshub.org/publications/1776/?v=1

8. DataCamp

   05 Nov 2018 | Teaching Materials

   DataCamp: The Easiest Way to Learn Data Science Online

   https://qubeshub.org/publications/913/?v=1

9. Dendroclimatology

   17 Sep 2018 | Teaching Materials | Contributor(s):

   By Jeremy M Wojdak¹, R. S. Maxwell¹

   Radford University

   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...

   https://qubeshub.org/publications/544/?v=2

10. Dendroclimatology

    24 Aug 2018 | Teaching Materials | Contributor(s):

    By Jeremy M Wojdak¹, R. S. Maxwell¹

    Radford University

    Dendroclimatologists can reconstruct climate records further into the past than written records, by examining tree rings. Students "reverse-engineer" this process by considering growth...

    https://qubeshub.org/publications/544/?v=1

11. 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...

    https://qubeshub.org/publications/1438/?v=1

12. Earth Analytics in R Course

    15 Oct 2019 | Teaching Materials | Contributor(s):

    By Leah Wasser

    Earth Lab - University of Colorado, Boulder

    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...

    https://qubeshub.org/publications/1439/?v=1

13. Get Started With GIS in Open Source Python Workshop

    15 Oct 2019 | Teaching Materials | Contributor(s):

    By Leah Wasser¹, Jenny Palomino¹, Joe McGlinchy¹

    Earth Lab - University of Colorado, Boulder

    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...

    https://qubeshub.org/publications/1441/?v=1

14. Histograms and Boxplots

    21 Jan 2019 | Teaching Materials | Contributor(s):

    By Suann Yang

    SUNY Geneseo

    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.

    https://qubeshub.org/publications/1019/?v=1

15. Introduction to Earth Data Science Textbook

    15 Oct 2019 | Teaching Materials | Contributor(s):

    By Jenny Palomino, Leah Wasser

    Introduction to Earth Data Science is an online textbook for anyone new to open reproducible science and the Python programming language. There are no prerequisites for this material, and no prior...

    https://qubeshub.org/publications/1440/?v=1

16. Investigating human impacts on stream ecology: Intro to R

    08 May 2019 | Teaching Materials | Contributor(s):

    By Kristen Kaczynski

    California State University - Chico

    This resource uses the Human Impact on Stream Ecology data set, background and questions and provides students an very general introduction to using R. Students perform basic summary statistics and...

    https://qubeshub.org/publications/1144/?v=1

17. Leaf cutter ant foraging

    24 Aug 2018 | Teaching Materials | Contributor(s):

    By Jeremy M Wojdak¹, Justin Touchon², Myra Hughey²

    1. Radford University 2. Vassar College

    This module introduces students to leaf-cutter ants in the rainforests of Panama. Students derive their own research hypotheses regarding ant foraging or allometric scaling relationships.

    https://qubeshub.org/publications/542/?v=1

18. Making Predictions with Linear Models: A Murder Mystery Case Study

    31 May 2021 | Teaching Materials | Contributor(s):

    By Miranda Chen Musgrove¹, Lisa A. Corwin¹, Andrew Martin¹

    University of Colorado, Boulder

    This Swirl lesson will introduce two main concepts to students: 1) the idea of uncertainty around linear slopes versus individual values and 2) predicting values using linear models.

    https://qubeshub.org/publications/2396/?v=1

19. Module 2: Transcription Part I: From DNA Sequence to Transcription Unit

    25 Jul 2020 | Teaching Materials | Contributor(s):

    By Maria Santisteban¹, Alexa Sawa²

    1. University of North Carolina - Pembroke 2. College of the Desert

    This module illustrates how a primary transcript (pre-mRNA) is synthesized using a DNA molecule as the template. Students will learn about the importance of the 5' and 3' regions of the gene for...

    https://qubeshub.org/publications/1990/?v=1

20. Module 4: Removal of Introns from pre-mRNA by Splicing

    25 Jul 2020 | Teaching Materials | Contributor(s):

    By Meg Laakso¹, Anne Rosenwald²

    1. Eastern University 2. Georgetown University

    In this module, students will learn to identify splice donor and acceptor sites that are best supported by RNA-Seq data, and use the canonical splice donor and splice acceptor sequences to identify...

    https://qubeshub.org/publications/1992/?v=1