Funders › MI › Great Lakes Observing System Regional Association › 2025
Grants paid by Great Lakes Observing System Regional Association, tax year 2025
EIN 26-0711287 · Ann Arbor, MI · Form 990, Schedule I · NTEE U21
In tax year 2025, Great Lakes Observing System Regional Association (EIN 26-0711287) reported 17 grants paid totaling $1,964,318. Dataset version 2026.09.0, built 2026-09-03.
Every grant, 2025
| Tax year | Recipient | Match | Amount | Type | Purpose | Source filing |
|---|---|---|---|---|---|---|
| 2025 | Ioos Association Harpswell, ME | A | $468,867 | paid | Supports regional associations of the US IOOS program | 202601249349301030 |
| 2025 | Michigan Tech Houghton, MI | A | $373,670 | paid | BITWISE Benthic Investigation Technology for Waters in the Great Lakes with Improved Survey Efficiency | 202601249349301030 |
| 2025 | Colorado School of Mines Golden, CO | A | $294,308 | paid | National Water Initiative Coastal Model Evaluation | 202601249349301030 |
| 2025 | University of Wisconsin-Milwaukee Milwaukee, WI | A | $165,009 | paid | Monitoring programs in Lake Michigan | 202601249349301030 |
| 2025 | Regents of University of Michigan Ann Arbor, MI | A | $126,415 | paid | Monitoring in Lake Erie and climate data products | 202601249349301030 |
| 2025 | Michigan Tech Houghton, MI | A | $119,672 | paid | Building Capacity to Measure and Asses Offshore, Full-frequency Water Level Fluctuations to Support Coastal Hazard Observation and Prediction | 202601249349301030 |
| 2025 | Michigan Tech Houghton, MI | A | $95,499 | paid | MTU Observing Systems Operations Maintenance 2024-2025 | 202601249349301030 |
| 2025 | Upstate Freshwater Institute Syracuse, NY | A | $91,480 | paid | Year-round Real-time Monitoring of the Lake Ontario Nearshore | 202601249349301030 |
| 2025 | Michigan Tech Houghton, MI | A | $44,111 | paid | GLYON Great Lakes Year-Round Observation Network | 202601249349301030 |
| 2025 | University of Wisconsin-Green Bay Green Bay, WI | A | $40,952 | paid | Monitoring algal blooms and dissolved oxygen concentrations around commercial fishing operations | 202601249349301030 |
| 2025 | Florida Atlantic University Atlanta, GA | A | $40,000 | paid | An Autonomous Digital Holographic Imaging System for Detecting Cyanobacterial Composition abundance in Lake Erie | 202601249349301030 |
| 2025 | Michigan Tech Houghton, MI | A | $32,474 | paid | Operation and Maintenance High Frequency Radar in the Straits of Mackinac, Michigan | 202601249349301030 |
| 2025 | Michigan Tech Houghton, MI | A | $30,661 | paid | Sensor-Centric Coastal Process Evaluation SCoPE | 202601249349301030 |
| 2025 | Michigan Tech Houghton, MI | A | $16,577 | paid | Operation and Maintenance High Frequency Radar in the Straits of Mackinac, Michigan - Year VI | 202601249349301030 |
| 2025 | Regents of University of Minnesota Minneapolis, MN | A | $16,079 | paid | Monitoring stations around the St. Louis Estuary and into Lake Superior | 202601249349301030 |
| 2025 | Research Foundation for State University of New York Albany, NY | A | $7,653 | paid | Monitoring in Lake Ontario | 202601249349301030 |
| 2025 | Michigan Tech Houghton, MI | A | $891 | paid | Offshore Winter Observing System | 202601249349301030 |
Match tier: A Reported EIN · B Exact name and place · C Strong name match · D Probable name match · U Unresolved. Tiers C and D are inferred, not reported; see how matching works.
Recipient matching for this dataset version has not yet completed its independent precision check. Tier A rows carry the EIN the filer reported; tiers B–D are the matcher's inference and should be read as leads until the check is published on the methodology page.
Derived from IRS Form 990 e-file XML. Dataset version 2026.09.0, built 2026-09-03. All years for this funder.
The same organization elsewhere in the program: exempt status and filing health · federal awards · grant guidance · open opportunities.
This is informational only, derived from public data on the dates shown. It is not an eligibility determination, and not legal, tax, or accounting advice. Verify against the official source before relying on it.