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Award Data
The Award database is continually updated throughout the year. As a result, data for FY21 is not expected to be complete until September, 2022.
Download all SBIR.gov award data either with award abstracts (290MB)
or without award abstracts (65MB).
A data dictionary and additional information is located on the Data Resource Page. Files are refreshed monthly.
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Multi-resolution Terrain elevation Estimation
SBC: Alaphatech, Inc. Topic: N/AAlphatech will develop & demo multirsolution statistical methods for the fusion of terrain elevation from existing 3-D terrain models and new elevation data. This fusion will produce new estimates of terrain elevation with accuracies, robustness, and update ratesprviously unachievable.
SBIR Phase I 1998 Department of DefenseNational Geospatial-Intelligence Agency -
A Near-Source Model for Chemically Reacting Radionuclides
SBC: BLAZETECH CORPORATION Topic: N/AWe propose to develop a near-source model for the release of chemically reacting radionuclides. The model structure is based on an available code for reacting chemicals. The model will include interactive effects of nuclear transformation, chemical reaction, and plume physical motion. Such a model will provide fast and accurate predictions for the source characterization and transport of radion ...
SBIR Phase I 1998 Department of DefenseNational Geospatial-Intelligence Agency -
A Novel III-Nitride UV Avalanche Photodetector
SBC: NZ APPLIED TECHNOLOGIES CORP. Topic: N/ANZ Applied Technologies proposes to develop gallium nitride and aluminum gallium nitride high sensitivity avalanche photodetectors for solar blind ultraviolet wavelength applications. Solar blind ultraviolet avalanche photodetectors and position sensitive arrays with high sensitivity have broad applications in military, space, automotive, engine monitoring, flame detection, and environmental moni ...
SBIR Phase I 1998 Department of DefenseNational Geospatial-Intelligence Agency -
Neurophysiological Based Methods of Guided Image Search
SBC: Veridical Research and Design Corporation Topic: N/A"Complex analysis of intelligence imagery is crucial to the missions of intelligence organizations, yet remains constrained by labor-intensive, time-consuming visual search of large volumes of imagery. Many algorithms have been developed to automaticallyidentify regions of interest in large, complex sets of imagery, yet the utility of such algorithms is limited by the fact that human analysts dete ...
SBIR Phase I 2002 Department of DefenseNational Geospatial-Intelligence Agency