Tags: data analysis

Resources (41-56 of 56)

  1. 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

  2. BIO 263 Ecological Data Analysis

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

    By Rachel Schwartz1, Linda Forrester1

    University of Rhode Island

    Course materials for BIO 263 Ecological Data Analysis

    https://qubeshub.org/publications/885/?v=1

  3. BIO 439/539: Big Data Analysis

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

    By Rachel Schwartz1, Linda Forrester1

    University of Rhode Island

    Course materials for BIO 439/539: Big Data Analysis

    https://qubeshub.org/publications/884/?v=1

  4. A Very Basic Tutorial for Performing Linear Mixed Effects Analyses: Tutorial 2

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

    By Bodo Winter

    University of California, Merced

    The second of two tutorials that introduce you to linear and linear mixed models. This tutorial serves as a quick boot camp to jump-start your own analyses with linear mixed effects models.

    https://qubeshub.org/publications/833/?v=1

  5. Linear Models and Linear Mixed Effects in R: Tutorial 1

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

    By Bodo Winter

    University of California, Merced

    The first of two tutorials that introduce you to linear and linear mixed models.

    https://qubeshub.org/publications/832/?v=1

  6. 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

  7. Yeast Cell Growth

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

    By Claudia Neuhauser

    University of Minnesota

    Numbers Count resource using Excel for data analysis

    https://qubeshub.org/publications/755/?v=1

  8. Teaching R with Swirl

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

    By Paige Parry

    George Fox University

    Session presentation on using Swirl, an interactive platform for learning and teaching R in the R console

    https://qubeshub.org/publications/664/?v=1

  9. Investigating the footprint of climate change on phenology and ecological interactions in north-central North America

    15 May 2018 | Teaching Materials | Contributor(s):

    By Todd Levine1, Kellen Calinger2

    1. Carroll University 2. Ohio State University

    Practice module included in Teaching Issues and Experiments in Ecology (TIEE) Volume 10

    https://qubeshub.org/publications/546/?v=1

  10. Changes in Lake Ice: Ecosystem Response to Global Change

    15 May 2018 | Teaching Materials | Contributor(s):

    By Todd Levine1, Robert Bohanan2, Marianne Krasny3, Adam Welman3

    1. Carroll University 2. University of Wisconsin 3. Cornell University

    Data Set included in included in Teaching Issues and Experiments in Ecology (TIEE) Volume 3

    https://qubeshub.org/publications/547/?v=1

  11. Staying Alive: Extinction Risk: Introduction to Extinction and Extinction Bias

    09 Jan 2018 | Teaching Materials | Contributor(s):

    By Samantha Price1, Peggy Schaeffer2, Anna Thanukos3, Samantha Swauger2

    1. University of California, Davis 2. DryadLab 3. University of California Museum of Paleontology

    Data driven curriculum module from Dryad Digital Repository

    https://qubeshub.org/publications/275/?v=1

  12. Modernizing Statistics Education via Biology Applications

    03 Jan 2018 | Teaching Materials | Contributor(s):

    By Olcay Ackman

    Illinois State University

    Part of the 2015 SMB Minisymposium: Topics in Biomathematics Education

    https://qubeshub.org/publications/254/?v=1

  13. Biometeorology of Asthma in South Florida: From Statistical Analysis to Mathematical Modeling

    03 Jan 2018 | Teaching Materials | Contributor(s):

    By David Quesada

    St. Thomas University, School of Science, Technology and Engineering Management

    Part of the 2015 SMB Minisymposium: Topics in Biomathematics Education

    https://qubeshub.org/publications/251/?v=1

  14. AIMS- Analyzing Images to learn Mathematics and Statistics - studying leaf cutter ants to learn linear regression

    03 Jan 2018 | Teaching Materials | Contributor(s):

    By Jeremy M Wojdak

    Radford University

    This is a teaching resource that uses fascinating images and videos of leaf cutter ants foraging in Panama to provide an engaging context for students to learn about mathematics and statistics.

    https://qubeshub.org/publications/239/?v=1

  15. EREN PFPP Species Composition Curriculum Module with Data

    29 Sep 2016 | Teaching Materials | Contributor(s):

    By Rachel Collins1, Jerald Dosch2, Kristine Hopfensperger3, Karen Kuers4, Erin Lindquist5, Charles McClaugherty6, Tim Menzel7

    1. Roanoke College 2. Macalester College 3. Northern Kentucky University 4. The University of the South 5. Meredith College 6. University of Mount Union 7. Piedmont College

    In this lab, students will learn foundational concepts of forest community dynamics and apply quantitative skills to data analysis and interpretation activities. Students will use tree plot data...

    https://qubeshub.org/publications/31/?v=2

  16. EREN PFPP Species Composition Curriculum Module with Data

    28 Sep 2016 | Teaching Materials | Contributor(s):

    By Jerald Dosch1, Erin Lindquist2, Karen Kuers3, Charles McClaugherty4, Kristine Hopfensperger5, Fernando Nieto6, Rachel Collins7, Tim Menzel8

    1. Macalester College 2. Meredith College 3. The University of the South 4. University of Mount Union 5. Northern Kentucky University 6. SUNY Old Westbury 7. Roanoke College 8. Piedmont College

    In this lab, students will learn foundational concepts of forest community dynamics and apply quantitative skills to data analysis and interpretation activities. Students will use tree plot data...

    https://qubeshub.org/publications/31/?v=1