This Project Grant award of $459,803 from the National Science Foundation's Biological Sciences program (CFDA 47.074) supports a collaborative research project titled "ULTRA-DATA: Developing Global Riverine Solute Regime and Synchrony Frameworks for Understanding Watershed-Scale Controls on River Biogeochemical Signals." The goal of this 3-year project is to better understand and predict changes in river chemistry at a global scale. The research team will (re)use publicly available water chemistry and flow data from over 450 rivers worldwide, applying novel machine learning and data analysis techniques to determine how and why substances in rivers, including nutrients, metals, salts, and trace minerals, vary seasonally and across different landscapes. This data-intensive project aims to harmonize large datasets from long-term ecological research, national observatory networks, and other federal science investments to identify drivers and seasonal patterns for a broad range of chemical solutes. The resulting dataset and analyses are expected to enable prediction of water quality in unmonitored and remote river systems. The project also supports workforce development in water resources and "big data" analysis through training workshops for early career researchers and public outreach via the Science Museum of Minnesota, the award recipient.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $459.8k | 6/13/25 |