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  1. DIGging Into Data and getting the credit

    18 Jul 2019 | Teaching Materials | Contributor(s):

    By Kaitlin Bonner1, Arietta Fleming-Davies2, Kristine Grayson3, Ben Wu4, Raisa Hernández-Pacheco3

    1. St. John Fisher College 2. QUBES; Radford University 3. University of Richmond 4. Texas AM University

    Presentation on using and adapting OER data-centric resources

    https://qubeshub.org/publications/1360/?v=1

  2. Leslie Ries

    https://qubeshub.org/community/members/12129

  3. National Ecological Observatory Network: A Data Source For Your Classroom

    26 Jun 2019 | Teaching Materials | Contributor(s):

    By Megan A. Jones

    National Ecological Observatory Network

    Abstract for a poster on NEON resources for use in research and education presented at the 2019 BioQUEST & QUBES Summer Workshop.

    https://qubeshub.org/publications/1327/?v=1

  4. Project EDDIE: Environmental data-driven inquiry & exploration

    Collections | 03 Apr 2019 | Posted by Kristin O'Connell

    https://qubeshub.org/community/groups/edsin/collections/organizations-and-initiatives

  5. A Primer in Biological Data Analysis and Visualization Using R

    Collections | 08 Mar 2019 | Posted by David Leaf

    https://qubeshub.org/community/members/2971/collections/r

  6. Kristin O'Connell

    https://qubeshub.org/community/members/11047

  7. Getting students to reason with data: QUBES tools and teaching resources built for introductory biology

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

    By Sam S Donovan

    University of Pittsburgh

    Workshop presented at the 2019 Biology Learning Community Conference

    https://qubeshub.org/publications/1088/?v=1

  8. David Shaner LeBauer

    https://qubeshub.org/community/members/10773

  9. Needed Math Conference Proceedings Jan 2018

    Collections | 17 Jan 2019 | Posted by Teresa Mourad

    https://qubeshub.org/community/groups/edsin/collections/publications

  10. Working with spreadsheet-style data in Python with pandas and seaborn

    20 Dec 2018 | Teaching Materials | Contributor(s):

    By Madeleine Bonsma-Fisher

    University of Toronto

    This 4-hour participatory live-coding workshop takes learners through the basics of programming in Python via the Jupyter Lab interface and culminates with exploration and visualization of...

    https://qubeshub.org/publications/971/?v=1

  11. Shana Marie Henry

    https://qubeshub.org/community/members/9842

  12. Helping students ask questions

    Collections | 09 Nov 2018 | Posted by Kristin Jenkins

    https://qubeshub.org/community/groups/birdd/collections/morphology-birdd-data

  13. DataONE Module 01: Why Data Management?

    30 Oct 2018 | Teaching Materials | Contributor(s):

    By Amber E Budden

    DataONE

    Trends in data collection, storage and loss, the importance and benefits of data management, and an introduction to the data life cycle.

    https://qubeshub.org/publications/911/?v=1

  14. DataONE Module 03: Data Management Planning

    30 Oct 2018 | Teaching Materials | Contributor(s):

    By Amber E Budden

    DataONE

    Benefits of a data management plan (DMP), DMP components, tools for creating a DMP, NSF DMP information, and a sample DMP.

    https://qubeshub.org/publications/910/?v=1

  15. DataONE Module 02: Data Sharing

    30 Oct 2018 | Teaching Materials | Contributor(s):

    By Amber E Budden

    DataONE

    Data sharing in the context of the data life cycle, the value of sharing data, concerns about sharing data, and methods and best practices for sharing data.

    https://qubeshub.org/publications/909/?v=1

  16. Tools: New tools for new science

    30 Oct 2018 | Teaching Materials | Contributor(s):

    By Harry Shum

    Microsoft

    A collection of computational, modeling and data analysis tools developed at Microsoft Research Labs.

    https://qubeshub.org/publications/891/?v=1

  17. Data from: Agent-based and Individual-based Modeling: A Practical Introduction, Chapter 5, Section 5.5 [Elevation]

    25 Oct 2018 | Teaching Materials | Contributor(s):

    By Steven F Railsback1, Volker Grimm

    Lang Railsback & Associates

    Elevation data input file for Section 5.5 (tab-separated plain text).

    https://qubeshub.org/publications/867/?v=1

  18. BioNumbers-the database of key numbers in molecular and cell biology

    19 Oct 2018 | Teaching Materials | Contributor(s):

    By Ron Milo1, Paul Jorgensen2, Michael Springer3

    1. Weizmann Institute of Science 2. Harvard Medical School 3. Beth Israel Deaconess Medical Center

    BioNumbers is a database of key numbers in molecular and cell biology—the quantitative properties of biological systems of interest to computational, systems and molecular cell biologists

    https://qubeshub.org/publications/821/?v=1

  19. Cell Biology by the Numbers

    18 Oct 2018 | Teaching Materials | Contributor(s):

    By Ron Milo1, Rob Phillips2

    1. Weizmann Institute of Science 2. California Institute of Technology

    Vignettes that reveal how numbers serve as a sixth sense to understanding our cells

    https://qubeshub.org/publications/819/?v=1

  20. Cookbook for R

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

    By Winston Chang

    The goal of the cookbook is to provide solutions to common tasks and problems in analyzing data.

    https://qubeshub.org/publications/780/?v=1

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