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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...
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...
10 Apr 2021 | Teaching Materials | Contributor(s):
By Peter VanZandt
Users access and manipulate drought data and visualize these data to learn about historical drought patterns.
Wind and Ocean Ecosystems (Project EDDIE)
09 Apr 2021 | Teaching Materials | Contributor(s):
By Alanna Lecher1, April Watson1
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...
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...
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
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...
Opioid crisis: exploring the neurophysiology of opioid receptor signaling
09 Aug 2020 | Teaching Materials | Contributor(s):
By Jason Chan
Using this dataset, we explore how opioids affect the electrical activity of neurons when exposed to different opioid receptor agonists and antagonists.
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...
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...
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...
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...
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...
17 Jul 2020 | Teaching Materials | Contributor(s):
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.
Remote sensing data processing – NEON airborne data
10 Jun 2020 | Teaching Materials | Contributor(s):
By Yingying Xie
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...
09 Jun 2020 | Teaching Materials | Contributor(s):
Cleaning Biodiversity Data: Excel
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.
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,...
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.