Source code for reproducing "Predicting Dreissenid Mussel Abundance using Deep Learning" by Galloway et al..
Machine learning projects done as part of an online PGPML course offered by Great Learning, an ed-tech company.
Sussman A.L., Gardner B., Adams E.M., Salas L., Kenow K.P., Luukkonen D.R., Monfils M.J., Mueller W.P., Williams K.A., Leduc-Lapierre M., & Zipkin E.F. 2019. A comparative analysis of common methods to identify waterbird hotspots. MEE 10(9): 1454-1468.
🌊🍃 GLOW - A community-driven platform that analyzes and tracks temperatures of the Great Lakes
A sensors.AFRICA project to send SMS alerts of storms around the great lakes region. Accessible at https://stormwatch.sensors.africa/
Bayesian phylogeographic reconstruction and interactive visual analytics of Zaire, Sudan and Bundibugyo ebolavirus spread in the Great-Lakes basin
CHR-2022 data was used to analyze factors impacting mental health in five Great Lakes states.
Chris Izworski GitHub Pages profile for public projects, Great Lakes tools, Michigan outdoor reports, writing, and verified identity links.
Great Lakes temperature analysis application developed for CPS125.
Exploring and modeling the relationships between lake characteristics, surface temperature, and ice concentration in the Great Lakes.
Chris Izworski GitHub project profile linking public projects, Great Lakes tools, Michigan outdoor reports, and verified identity pages.
This repository contains the entire methodological workflow described in Martin et al. (2026) – "Spatial-Temporal Patterns of Perfluoroalkyl Substances in the Biota of the Laurentian Great Lakes: A Meta-Analysis"
Michigan Birding Report: live Michigan bird sightings, county pages, migration context, species information, and birding tools.
Bay City, Michigan — Chris Izworski writes about Saginaw Bay, Great Lakes ecology, and Zone 6a gardening.
For accessing Great Lakes buoy API data. Created for GLOS Data Challenge Hackathon 2016
Michigan Trout Report: live Michigan trout stream flows, water temperatures, weather context, river pages, and fishing conditions.
Empirical project for Dr. Chris Stoddard's ECNS 562
data and scripts from the St. Louis River Estuary (SLRE)
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