Investigating Carbon and Oxygen Dynamics in Lake Erie: A Machine Learning Approach to Analyzing Seasonal and Interannual Drivers

Presenter Information

Abby Goda, Oberlin College
Rachel Eveleth, Oberlin College

Location

PANEL: Interdisciplinary Discussions of Ecological Dynamics & Evolutionary Processes
Mudd 113
Moderator: Thom Dawkins

Document Type

Presentation - Oberlin Community Only

Start Date

4-25-2025 10:00 AM

End Date

4-25-2025 11:00 AM

Keywords:

Lake Erie, Biogeochemistry, Machine learning, Stratification

Notes

Presenter: Abby Goda

Access to the full-text abstract and presentation slides is available to Oberlin College users only.

Recommended Citation

Goda, Abby and Eveleth, Rachel, "Investigating Carbon and Oxygen Dynamics in Lake Erie: A Machine Learning Approach to Analyzing Seasonal and Interannual Drivers" (2025). Research Symposium. 35.
https://digitalcommons.oberlin.edu/researchsymp/2025/presentations/35

Major

Geoscience

Project Mentor(s)

Rachel Eveleth, Geosciences

2025