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Tags: data visualization

All Categories (1-20 of 53)

  1. 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

  2. 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

  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. BIOMAAP 'Official' Figure of the Day

    Collections | 17 Jan 2018 | Posted by Arietta Fleming-Davies

    https://qubeshub.org/community/groups/biomaap/collections/figure-of-the-day

  5. 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

  6. Caitlin Hicks Pries

    https://qubeshub.org/community/members/10140

  7. ClarLynda Williams-DeVane

    https://qubeshub.org/community/members/12061

  8. 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

  9. Collecting and analyzing binomial data

    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.

  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 visualization (Part 2)

    Collections | 01 Feb 2016 | Posted by Drew LaMar

    https://qubeshub.org/community/groups/introbiostats/collections/timeline

  13. DataCamp

    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...

  14. DataCamp

    05 Nov 2018 | Teaching Materials

    DataCamp: The Easiest Way to Learn Data Science Online

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

  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. 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

  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