Resources (1-20 of 39)

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. Angiosperm Diversity in Pollination Systems

   28 Aug 2024 | Teaching Materials | Contributor(s):

   By Jana Vamosi¹, Mindi Summers¹, Justine Doll¹, Cristopher Albor¹, Maria Baboi¹, Sarah Adams¹, Samuel Young²

   1. University of Calgary 2. University of Edinburgh, University of Calgary

   This activity is designed for upper-level undergraduates and graduate students engaged in ecology and biodiversity sustainability studies. This activity will explore how plant-pollinator...

   https://qubeshub.org/publications/4970/?v=1

5. Angiosperm Diversity in Pollination Systems

   03 Jun 2024 | Teaching Materials | Contributor(s):

   By Jana Vamosi¹, Cristopher Albor¹, Justine Doll¹, Maria Baboi¹, Mindi Summers¹, Sarah Adams¹

   University of Calgary

   This activity is designed for upper-level undergraduates and graduate students engaged in ecology and biodiversity sustainability studies. This activity will explore how plant-pollinator...

   https://qubeshub.org/publications/4520/?v=1

6. Breaking It Down: What Factors Control Microbial Decomposition Rates?

   15 May 2024 | Teaching Materials | Contributor(s):

   By Brian M. Connolly*¹, Nigel D'Souza², Naupaka Zimmerman³, John Zobitz⁴

   1. Gonzaga University 2. Gonzaga Univeristy 3. University of San Francisco 4. Augsburg University

   Demonstrating and modeling changes in ecosystem processes in the laboratory classroom can be logistically difficult and expensive. This complexity often leaves little time for students to generate...

   https://qubeshub.org/publications/4752/?v=1

7. 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

8. Calling Bullshit DCS 105 Bates College Data Visualization Activity Slides

   29 May 2024 | Teaching Materials | Contributor(s):

   By Carrie Diaz Eaton¹, Sadie Kriegler

   Unity College

   This is a slide deck containing all in-class data visualization activity slides for the course DCS 105 - Calling Bullshit at Bates College.

   https://qubeshub.org/publications/4810/?v=1

9. 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

10. 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

11. 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

12. Data-Driven Decision-Making: Antarctic Fisheries

    05 Jul 2024 | Teaching Materials | Contributor(s):

    By Jessie Golding¹, Desiree Andersen¹, Ellen Bledsoe¹

    University of Arizona

    This is an entire module for a general education data science and ecology course. The module was originally designed as the fourth and final section of the course; the full course is openly...

    https://qubeshub.org/publications/4885/?v=1

13. DataCamp

    05 Nov 2018 | Teaching Materials

    DataCamp: The Easiest Way to Learn Data Science Online

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

14. 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

15. 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

16. Downloading and Visualizing Project Data from the iNaturalist Database

    03 Jun 2024 | Teaching Materials | Contributor(s):

    By Justine Doll¹, Maria Baboi¹, Mindi Summers¹, Jana Vamosi¹, Cristopher Albor¹

    University of Calgary

    In this activity you will learn how to create a query, export, and download data from iNaturalist; load data into R; explore pollinator-plant interactions with R, and create heat map, bipartite,...

    https://qubeshub.org/publications/4764/?v=1

17. 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

18. 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

19. 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

20. 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