# Collaborative Research: Global mapping of the Earth's D" layer using machine learning and implications for deep mantle structure, properties and dynamics

**Budget Signal Score:** 40/100

| Field | Value |
|---|---|
| Institution | University of California-Berkeley |
| Location | BERKELEY, CA |
| Project | Collaborative Research: Global mapping of the Earth's D" layer using machine learning and implications for deep mantle structure, properties and dynamics |
| Award amount | $344,999 |
| Obligated so far | $344,999 |
| Awarded | 2026-08-04 |
| Period | 2027-01-01 to 2029-12-31 |
| Program | SPSE-Study of Physics of Earth |
| Directorate / division | GEO / GCP |
| Award ID | 2535685 |

## Why this score
- Award of $300K or more.

Source: U.S. National Science Foundation Awards API (https://www.nsf.gov/awardsearch/showAward?AWD_ID=2535685). Last refreshed: 2026-11-04T18:13:44.963Z.
Award data comes from the NSF Awards API and may be amended by NSF. Institution-level only; investigator contact details are not included. Informational only.
