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1. Climate Drivers of Phenology (Project EDDIE) - adaptation focused on Part A and B

   10 May 2021 | Teaching Materials | Contributor(s):

   By Anna Strimaitis Grinath

   This adaptation explores the questions: Based on observations of bumblebee phenology, are bumblebees in the western United States behaving differently from 2011 to 2019? What climate variables may...

   https://qubeshub.org/publications/2343/?v=1

2. Assessing River Herring Migration Using Nonparametric Analysis

   09 May 2021 | Teaching Materials | Contributor(s):

   By Timothy Owen

   In this lesson, users will play the role of a fisheries biologist by tackling a contemporary fisheries research problem by performing data normality tests, data transformations, nonparametric...

   https://qubeshub.org/publications/2340/?v=1

3. NEON_PDSI

   10 Apr 2021 | Teaching Materials | Contributor(s):

   By Peter VanZandt

   Birmingham-Southern College

   Users access and manipulate drought data and visualize these data to learn about historical drought patterns.

   https://qubeshub.org/publications/2304/?v=1

4. Wind and Ocean Ecosystems (Project EDDIE)

   09 Apr 2021 | Teaching Materials | Contributor(s):

   By Alanna Lecher¹, April Watson¹

   Lynn University

   This module introduces students to the concepts of Ekman transport, eastern boundary currents, and upwelling, while learning how to find a location on a map using latitude and longitude, how to...

   https://qubeshub.org/publications/2298/?v=1

5. Climate-Induced Shifts in California Butterflies

   18 Feb 2021 | Teaching Materials | Contributor(s):

   By Jessica Coyle

   A module in which students generate and test hypotheses about butterfly species’ response to climate change in the Central Valley and Sierra Nevada Mountains of northern California using publicly...

   https://qubeshub.org/publications/1884/?v=2

6. Investigating human impacts on Southeastern US stream ecology using R

   01 Jan 2021 | Teaching Materials | Contributor(s):

   By Alicia Caughman¹, Emily Weigel¹

   Georgia Institute of Technology

   Adaptation of the "Investigating human impacts on stream ecology: Scaling up from Local to National with a focus on the Southeast" specifically to focus on self-paced R code instruction

   https://qubeshub.org/publications/2220/?v=1

7. Intro to Data Types and Graphing Lab

   12 Oct 2020 | Teaching Materials | Contributor(s):

   By Stephanie Spera

   University of Richmond

   This is the third lab in an Introductory Physical Geography/Environmental Studies course. It introduces students to different data types (qualitative vs quantitative), basic statistical analyses...

   https://qubeshub.org/publications/1903/?v=2

8. Opioid crisis: exploring the neurophysiology of opioid receptor signaling

   09 Aug 2020 | Teaching Materials | Contributor(s):

   By Jason Chan

   Marian University

   Using this dataset, we explore how opioids affect the electrical activity of neurons when exposed to different opioid receptor agonists and antagonists.

   https://qubeshub.org/publications/2056/?v=1

9. Obesity - An Epidemic with Unexpected Causes, Consequences, and Complexity

   07 Aug 2020 | Teaching Materials | Contributor(s):

   By Edward Freeman

   St. John Fisher College

   This dataset was collected from interviews conducted by the Centers for Disease Control and Prevention. State by state data are provided to explore the interactions of education, income, and...

   https://qubeshub.org/publications/2052/?v=1

10. Atlas of Black Scholarship for Inclusive and Racially Diverse STEM Curricula – Volume I

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

    By Aparna Anandkumar¹, Ariel Moline², Pascale S. Guiton²

    1. Castro Valley High School & California State University East Bay 2. California State University East Bay

    The contributions of Black scientists to the advancement of STEM are poorly represented in course materials. Here, we provide an Atlas of Black Scholarship to help Life Sciences and Chemistry...

    https://qubeshub.org/publications/2022/?v=1

11. Graphing an Epidemic: West Africa Ebola Epidemic

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

    By Lois Bartsch

    Metropolitan Community College

    In this activity, students will explore how the Ebola virus outbreak occurred in West Africa through graphing prevalence, incidence and mortality data from the three major countries that were...

    https://qubeshub.org/publications/2013/?v=1

12. NEON Data in the Classroom: Quantifying Spatial Patterns

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

    By Kusum Naithani

    University of Arkansas, Fayetteville, AR 72701

    Students build on fundamental concepts of spatial patterns and combine this knowledge with the open-data from the National Ecological Observatory Network to quantify spatial autocorrelation and...

    https://qubeshub.org/publications/1398/?v=1

13. Introduction to nucleotide sequence analysis and protein modeling in MEGA and PyMol using coronavirus SARS-CoV-2

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

    By Maria Shumskaya¹, Nicholas Lorusso²

    1. Kean University 2. Kean Univeristy

    Introduction into computational approaches in phylogeny and protein modeling based on coronavirus SARS-CoV-2 (caused COVID-19 pandemic). Two self-guided tutorials for standard lab classes of 2.5...

    https://qubeshub.org/publications/1796/?v=2

14. Climate-Induced Shifts in California Butterflies

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

    By Jessica Coyle

    A module in which students generate and test hypotheses about butterfly species’ response to climate change in the Central Valley and Sierra Nevada Mountains of northern California using publicly...

    https://qubeshub.org/publications/1884/?v=1

15. Cleaning Biodiversity Data: A Botanical Example Using Excel or RStudio

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

    By Michelle Gaynor

    University of Florida

    Access and clean an open source herbarium dataset using Excel or RStudio.

    https://qubeshub.org/publications/1964/?v=1

16. Remote sensing data processing – NEON airborne data

    10 Jun 2020 | Teaching Materials | Contributor(s):

    By Yingying Xie

    Northwestern University

    Concepts of remote sensing and data logistics, and NEON remote sensing data are introduced. Students learn how to apply spatial data processing and visualization skills using R coding program to...

    https://qubeshub.org/publications/1905/?v=1

17. Intro to Data Types and Graphing Lab

    09 Jun 2020 | Teaching Materials | Contributor(s):

    By Stephanie Spera

    University of Richmond

    This is the third lab in an Introductory Physical Geography/Environmental Studies course. It introduces students to different data types (qualitative vs quantitative), basic statistical analyses...

    https://qubeshub.org/publications/1903/?v=1

18. Cleaning Biodiversity Data: Excel

    09 Jun 2020 | Teaching Materials | Contributor(s):

    By Debra Linton¹, Molly Phillips²

    1. Central Michigan University 2. iDigBio, Florida Museum of Natural History, University of Florida

    Access and clean an open source polar bear dataset using Excel.

    https://qubeshub.org/publications/1899/?v=1

19. Too much of a good thing? Exploring nutrient pollution in streams using bioindicators

    02 Jun 2020 | Teaching Materials | Contributor(s):

    By J. Stephen Gosnell

    Baruch College, City University of New York and PhD Program in Biology, The Graduate Center of the City University of New York

    Students use data on nitrogen and phosphorus levels in streams and macrobenthic insect biodiversity to consider issues of nutrient pollution and stream health while learning to filter, summarize,...

    https://qubeshub.org/publications/1883/?v=1

20. Caribbean coral reef structure and biodiversity - Comparing boosted regression tree & multiple regression approaches

    29 May 2020 | Teaching Materials | Contributor(s):

    By Eric Womack

    Virginia Commonwealth University

    Creating and comparing boosted regression tree models to multiple regression models.

    https://qubeshub.org/publications/1870/?v=1