TIEE Special Issue

As part of the “DIG into Data for the Biology Classroom” faculty mentoring network that ran in spring 2017, we created classroom modules based on authentic data sets. This network was the result of a partnership between the Ecological Society of America and the NSF-funded virtual center Quantitative Undergraduate Biology Education and Synthesis (QUBES).

View modules featured in a special issue of Teaching Issues and Experiments in Ecology (TIEE):

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Jim McNeil
George Mason University; Smithsonian-Mason School of Conservation ...et. al
Students use small mammal data from the National Ecological Observatory Network to understand necessary steps of data management from data collection to data analysis by estimating small mammal population sizes using the Lincoln-Peterson model.
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Kaitlin Bonner
St. John Fisher College ...et. al
Students investigate the role of olfaction and infochemicals on bird foraging behavior through three different quantitative modules. In this module students create graphs, generate statistics, draw conclusions, and apply their knowledge.
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Anna Carter
Iowa State University
This module uses R software to introduce students to the process of accessing databases and building species distribution models based on occurrence records.
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Maruthi Bhaskar
Texas Southern University
Identifying, mapping and understanding the magnitude and the spatial prevalence of the Sexually Transmitted Diseases (STDs) such as chlamydia and gonorrhea diseases. Analyzing the spatial trends of the disease patterns at National, State and...
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Sarah Orlofske
Northeastern Illinois University
Use a well-resolved food web database from a freshwater wetland ecosystem in central California to explore how parasites influence community properties and learn how food webs are constructed and analyzed.
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Alida Janmaat
University of the Fraser Valley
Students utilize the provided dataset to engage in an open-inquiry project on the impacts of abiotic and biotic factors on stream macroinvertebrate communities and/or leaf litter decomposition.
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Carrie Wu
University of Richmond ...et. al
Students evaluate weather and phenology data sets spanning 40+ years from a high-elevation field station in the Colorado Rocky Mountains, to test predictions about the effects of climate change on migrating and over-wintering animal and plant.
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View modules published on QUBES:

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Jennifer Kovacs
Spelman College ...et. al
Students generate predictions and test three hypotheses about how biodiversity is affected by urbanization over time using citizen science generated bird count data and land use data from 13 locations in Florida over a 10 year time span
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Kristen Genet
Anoka-Ramsey Community College
Students evaluate long term (100+ years) trends in temperature and precipitation, and then isolate a shorter time span (20 years) in which to evaluate the correlation between spring temps and the earliest reported calling dates for MN frogs and toads
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Arietta Fleming-Davies
QUBES; Radford University ...et. al
This module explores the effects of host density on contact rates and transmission of pathogens or mutualist symbionts using a hands-on simulation, a computer agent-based model in NetLogo, and an authentic ecological dataset.
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Louise Mead
BEACON Center for the Study of Evolution in Action, Michigan State University ...et. al
The Long Term Evolution Experiment started by Dr. Richard Lenski provides a rich dataset to help students explore concepts of fitness, replication, and adaption.
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Naupaka Bruce Zimmerman
University of San Francisco ...et. al
This dataset of fungal communities associated with the leaves an endemic Hawaiian tree provides students opportunities to explore relationships between environmental variables and microbial community composition.
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Christine May
James Madison University ...et. al
This module provides a framework for upper-level ecology students to learn about limiting factors for stream fish diversity, using data from Shenandoah National Park and gaining skills in predictive, regression-based modeling.
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Kathryn Elizabeth Perez
University of Texas Rio Grande Valley
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Jennifer Doherty
University of Washington ...et. al
Students use sleep and exam data from Introductory Biology students to investigate the question: Does a circadian rhythm, the sleep-wake cycle, influence an important mammalian adaptation, the ability to learn in an information-rich environment?
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