You are here

Award Data

For best search results, use the search terms first and then apply the filters
Reset

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.

  1. Alternative Aggregate Combat Modeling Algorithms

    SBC: Gnosys, Inc.            Topic: ST071003

    Gnosys, the University of Alabama in Huntsville, and SAIC propose that entity level performance data be “rolled-up” into aggregate performance data and used to resolve unit level combat at the unit level. Such an approach for conducting aggregate simulation would realize the advantage of employing validated entity level data but also keep the advantages inherent in aggregate simulation of com ...

    STTR Phase II 2009 Department of DefenseDefense Advanced Research Projects Agency
  2. Carbon Nanotube Plasma Limiter

    SBC: ACCURATE AUTOMATION CORPORATION            Topic: MDA06034

    The enabling solid state semiconductor technology in modern electronics and radar systems increases their vulnerability to the effects of high power, fast rise-time EMP, HPM, and UWB pulses. In recent years, significant advances in the technology used to produce these pulses have been made in the United States and abroad, increasing the need for effective protection against these threats. Howeve ...

    SBIR Phase II 2009 Department of DefenseDefense Advanced Research Projects Agency
  3. Crack Nucleation Prediction through Surface Roughness Measurement

    SBC: VEXTEC Corporation            Topic: SB072003

    Reusable life models rely on a large empirical database and require a lengthy development process. The models must be reconstructed for each new geometric and loading application. Rather than using empirical fatigue data to fit the model, the VEXTEC approach uses the intrinsic microstructure properties of the material and needs very little calibration testing. In Phase I, VEXTEC used the model to ...

    SBIR Phase II 2009 Department of DefenseDefense Advanced Research Projects Agency
US Flag An Official Website of the United States Government