Glassbox · recipient profile · cross-dataset

AHMED, MOHAMMED ZAKI (AIRBORNE UNDERWATER GEOPHYSICAL SIGNALS)

Type · organizationMatch confidence · 70%

The dataset shows this entity in 1 source (fed). Identifier looked up: AHMED, MOHAMMED ZAKI (AIRBORNE UNDERWATER GEOPHYSICAL SIGNALS).

Total across sources

$5K

Source link count

BN variants

Aliases

Per-dataset record counts for this entity.

city

Ontario

province

null

grant_count

total_grants

4500

top_departments

["Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada"]

Source: fed.grants_contributions + general.entity_golden_records