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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. Porous Membrane Electrode for Quantitative Detection of Toxins

    SBC: Mercury Science Inc.            Topic: 816N

    In Phase I, a novel porous electrode was designed to demonstrate a rapid, simple assay for the detection of domoic acid in marine samples. During Phase II, methods to manufacture porous electrodes will be improved to enable high volume production of low-cost biosensors that can be connected to a potentiostat. These biosensors will be incorporated into a portable test kit for the quantitation of do ...

    SBIR Phase II 2013 Department of CommerceNational Oceanic and Atmospheric Administration
  2. Development of Specific Pathogen Free (SPF) Penaeus monodon Broodstock for High Health and High Performance

    SBC: High Health Aquaculture, Inc. (HHA)            Topic: N/A

    Shrimp farming is the world's most valuable aquaculture sector with 1994 production of 733,000 MT and crop value of $4 billion. This huge industry depends on wild animals with its seedstock either gathered directly from the sea or produced in hatcheries from wild-caught broodstock. Recently the industry has experienced severe disease problems which in part are due to its reliance on wild animals ...

    SBIR Phase II 1996 Department of Commerce
  3. DEVELOPMENT OF A DATABASE ON LUGGAGE MATERIALS TO FACILITATE DETECTION OF EXPLOSIVES

    SBC: Ec/r Inc.            Topic: N/A

    N/A

    SBIR Phase I 1994 Department of Transportation
  4. DIGITAL SIGNAL PROCESSOR (DSP)/NEURAL NET-BASED VEHICLE DETECTOR

    SBC: ORINCON            Topic: N/A

    ADVANCED COMPUTER-AIDED TECHNIQUES TO DETERMINE VEHICLE CLASS AND SPEED ARE REQUIRED FOR ADVANCED INTELLIGENT VEHICLE HIGHWAY SYSTEM'S APPLICAITONS. ORINCON IS PROPOSING TO DEVELOP A NOVEL SYSTEM ARCHITECTURE USING DIGITAL SIGNAL PROCESSING (DSP) ALGORITHMS IN CONJUNCTION WITH A NEURAL NETWORK CLASSIFIER TO PROCESS DATA FROM EXISTING VEHICLE DETECTION HARDWARE. OUR DESIGN CRITERIA WILLINCLUDE COST ...

    SBIR Phase II 1994 Department of Transportation
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