Support

Support Options

  • Knowledge Base

    Find information on common questions and issues.

  • Support Messages

    Check on the status of your correspondences with members of the QUBES team.

Contact Us

About you
About the problem

Tags: data visualization

All Categories (1-20 of 50)

  1. 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

  2. Module 6: Alternative Splicing

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

    By Leocadia Paliulis1, Anne Rosenwald2

    1. Bucknell University 2. Georgetown University

    This module explores how multiple different mRNAs and polypeptides can be encoded by the same gene. After completing this module students will be able to explain how alternative splicing of a gene...

    https://qubeshub.org/publications/1994/?v=1

  3. 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

  4. 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

  5. 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.

  6. Pratima Jindal

    https://qubeshub.org/community/members/16787

  7. 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

  8. 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

  9. 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

  10. 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

  11. Writing Clean Code in R Workshop

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

    By Max Joseph1, Leah Wasser

    Earth Lab - University of Colorado, Boulder

    When working with data, you often spend the most amount of time cleaning your data. Learn how to write more efficient code using the tidyverse in R.

    https://qubeshub.org/publications/1442/?v=1

  12. 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

  13. 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

  14. 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

  15. REMNet Tutorial, R Part 4: Creating Taxa Plots in R 5.2.19

    28 Aug 2019 | Teaching Materials | Contributor(s):

    By Jessica Joyner

    CUNY Brooklyn College

    Video on making taxa bar plots in R from the Research Experiences in Microbiomes Network

    https://qubeshub.org/publications/1313/?v=1

  16. Marney Pratt

    https://qubeshub.org/community/members/12436

  17. ClarLynda Williams-DeVane

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

  18. The nose knows: How tri-trophic interactions and natural history shape bird foraging behavior. Introduction to data visualization.

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

    By pamela scheffler

    Students investigate the role of olfaction and infochemicals on bird foraging behavior.. In this module students learn to analyze and present graphic data in ways that simplify interpretation.

    https://qubeshub.org/publications/1221/?v=1

  19. 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

  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