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Tags: graphing

All Categories (1-17 of 17)

  1. Adaptation of Investigating human impacts on stream ecology: locally and nationally

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

    By Catherine Sughrue Etter

    Cape Cod Community College

    TIEE Module- How does nutrient pollution impact stream ecosystems locally and nationally?

    https://qubeshub.org/qubesresources/publications/1294/?v=1

  2. The ml4bio Workshop: Machine Learning Literacy for Biologists

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

    By Fangzhou Mu1, Chris Magnano1, Debora Treu2, Anthony Gitter1

    1. University of Wisconsin - Madison 2. Morgridge Institute for Research

    Presentation on machine learning literacy for biologists at the 2019 Great Lakes Bioinformatics Conference

    https://qubeshub.org/qubesresources/publications/1252/?v=1

  3. The Effect of Climate Change on Butterfly Phenology - Intro Environmental Science

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

    By Megan Kelly

    Arrupe College of Loyola University Chicago

    In this module, students practice interpreting the relationship between variables before exploring changes in butterfly phenology through the use of natural history collections data.

    https://qubeshub.org/qubesresources/publications/1266/?v=1

  4. Fantastic Birds and Where to Find Them

    20 Mar 2019 | Teaching Materials | Contributor(s):

    By Molly Phillips1, Kathryn Green2

    1. iDigBio, Florida Museum of Natural History, University of Florida 2. North Carolina Sate University

    5E lesson plan for middle/high school aligned to NGSS standards.

    https://qubeshub.org/qubesresources/publications/1109/?v=1

  5. Getting Started with R: An Introduction for Biologists

    Collections | 08 Mar 2019 | Posted by David Leaf

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

  6. Phototropism and Gravitropism: Quantifying Stem Curvature in Plants Introduction

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

    By Lou Gross1, Monica Beals1, Susan Harrell1

    University of Tennessee Knoxville

    This module introduces phototropism and gravitropism in the context of understanding how to quantify stem curvature of plants. It is intended for an introductory biology audience.

    https://qubeshub.org/qubesresources/publications/1072/?v=1

  7. Bioinformatics: An Interactive Introduction to NCBI

    03 Jan 2019 | Teaching Materials | Contributor(s):

    By Seth Bordenstein

    Marine Biological Laboratory

    Modules showing how the NCBI database classifies and organizes information on DNA sequences, evolutionary relationships, and scientific publications. And a module working to identify a nucleotide...

    https://qubeshub.org/qubesresources/publications/989/?v=1

  8. 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/qubesresources/publications/833/?v=1

  9. Assessment

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

    By Arietta Fleming-Davies1, Jeremy M Wojdak2

    1. University of San Diego 2. Radford University

    This can be given at the beginning and end of the BIOMAAP program, in order to measure student changes in math anxiety.

    https://qubeshub.org/qubesresources/publications/617/?v=1

  10. Gaining familiarity with R and Work with NEON OS & IS data – Plant phenology & temperature - adaptation

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

    By Nancy Cowden

    Lynchburg College

    This adaptation introduces students to R and the NEON OS & IS data – Plant Phenology & Temperature tutorial. A planned extension will prompt students to develop a testable hypothesis, based on...

    https://qubeshub.org/qubesresources/publications/624/?v=1

  11. Large Datasets in R - Plant Phenology & Temperature Data from NEON

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

    By Megan A. Jones1, Lee F. Stanish2, Natalie Robinson2, Katherine D. Jones2, Cody Flagg2

    1. National Ecological Observatory Network 2. National Ecological Observatory Network – Battelle

    This module series covers how to import, manipulate, format and plot time series data stored in .csv format in R. Originally designed to teach researchers to use NEON plant phenology and air...

    https://qubeshub.org/qubesresources/publications/515/?v=1

  12. Valerie Andrea Lantz

    https://qubeshub.org/community/members/7195

  13. Cell Cycle and Cancer

    Collections | 19 Jan 2017 | Posted by Alice Tarun

    https://qubeshub.org/community/groups/hhmibiointeractive/collections/cancer-genomics

  14. Using HHMI BioInteractive modules to link global warming, ocean acidification and coral reef health

    Collections | 19 Jan 2017 | Posted by Alice Tarun

    https://qubeshub.org/community/groups/hhmibiointeractive/collections/faculty-mentoring-network-products---2016

  15. Linear Regression PowerPoint Presentation

    Collections | 09 May 2016 | Posted by James Vance

    https://qubeshub.org/community/groups/esa/collections/investigating-the-footprint-of-climate-change-on-phenology-and-ecological-interactions-in-north-central-north-america

  16. Getting Started with R: An Introduction for Biologists

    Collections | 05 Jun 2015 | Posted by Wendy Jo Levenson

    https://qubeshub.org/community/groups/teaching_r/collections/books-about-using-r

  17. Data Nuggets - Bringing Real Data into the Classroom to Unearth Students' Quantitative & Inquiry Skills

    22 Jan 2015 | | Contributor(s):: MK Kjelvik, EH Schultheis

    Data Nuggets are narratives about real research, featuring the principal scientist, that include data students can analyze.   Right now they are aimed at K-12 students, but many topics covered are taught in college courses, and there is no limit to what mathematical or statistical concepts...