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Award Data
The Award database is continually updated throughout the year. As a result, data for FY24 is not expected to be complete until March, 2025.
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.
The SBIR.gov award data files now contain the required fields to calculate award timeliness for individual awards or for an agency or branch. Additional information on calculating award timeliness is available on the Data Resource Page.
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Biologic Event Identification and Geolocation Unattended Ground Sensor
SBC: STREAMLINE AUTOMATION LLC Topic: SOCOM06018The DoD Chemical, Biological, Radiological, and Nuclear Defense Program Performance Plan discusses the status of sensing technologies and long-term goals, and shows point biological detection systems are expected to provide 20% of the objective capabilities in FY15. This indicates that there is the need for a man-portable, disposable, rapidly responding biological agent point detector that is cap ...
SBIR Phase I 2007 Department of DefenseSpecial Operations Command -
Low-Cost, Networked, Disposable Chemical Sensor
SBC: STREAMLINE AUTOMATION LLC Topic: SOCOM05010There is an acute need for a networked chemical sensor that is inexpensive enough to allow it to be treated as a disposable item - deployed and left in-place until the end of its useful life, or until operations move out of communications range. Electrochemical microarray sensors can be fabricated at low enough unit cost to make the development of a disposable sensor node feasible. These sensors ...
SBIR Phase I 2006 Department of DefenseSpecial Operations Command -
Automated Feature Extraction Capabilities for the Development of High-Resolution GEOINT Feature Data and Constructing Correlated Databases
SBC: CG2, Inc. Topic: SOCOM06012Our solution to the automated feature extraction problem will leverage the material properties that can be inferred from combining multispectral imagery with high resolution elevation data or LIDAR data using a trainable knowledge base. Multiple imaging bands provide a more complete picture of the material involved than ordinary RGB. This can help distinguish between a green grass lawn and a gre ...
SBIR Phase I 2006 Department of DefenseSpecial Operations Command