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Award Data

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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. Advanced Concept Basalt Fiber Reinforcement for Concrete

    SBC: Research & Technology Corp            Topic: N/A

    Extensive research (Ukraine) has shown that high strength continuous fibers of basalt can be produced. These fibers are inexpensive and have exceptionally high strength, stiffness and corrosion resistance. Basalt is a naturally occurring volcanic mineral, consisting a variety concentration of oxides. The product envisioned is a low-cost, corrosion resistant replacement for steel bar in reinforc ...

    SBIR Phase I 1996 Department of Transportation
  2. Fatigue Crack Detection Via Differential Thermography

    SBC: Stress Photonics, Inc.            Topic: N/A

    N/A

    SBIR Phase II 1996 Department of Transportation
  3. Solar Roadways

    SBC: SOLAR ROADWAYS INCORPORATED            Topic: 091FH5

    As stated in the solicitation, the pavement infrastructure in the US covers a large surface area and requires intensive energy and natural resources. In addition, the surface of the pavement is typically impermeable, causing negative consequences. Vehicles that travel over these pavements are also resource intensive. Solar Roadways Incorporated envisions replacing current asphalt surfaces with m ...

    SBIR Phase II 2011 Department of Transportation
  4. Development of a GPU-based High Performance Community Radiative Transfer Model

    SBC: Hyper Sensing, LLC            Topic: 835D

    Computation of the radiative transfer model for a hyperspectral sounder with thousands of spectral channels is very time-consuming. Consequently, operational data assimilation systems can assimilate only a few hundred channels. The radiative transfer model is very suitable for GPU implementation to take advantage of GPU massively parallel computing capability, where radiances at various channels c ...

    SBIR Phase I 2011 Department of CommerceNational Oceanic and Atmospheric Administration
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