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Award Data

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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.

  1. Development of a Submersible Fish Cage for Open Ocean Aquaculutre

    SBC: JPS Industries, Inc.            Topic: 831

    A need exists to develop cost effective and reliable submersible cage technology for exposed aquaculture. The team assembled as part of this SBIR incorporates JPS Industries, Great Bay Aquafarms and the University of New Hampshire. In Phase I, a design will be developed based on concepts known to work in the industry. Concepts to be investigated include a cage constructed around HDPE pipe, with ...

    SBIR Phase II 2005 Department of Commerce
  2. Handheld FT-IR/Photoacoustic Chemical Agent Detector

    SBC: MANNING APPLIED TECHNOLOGY            Topic: CBD05112

    Manning Applied Technology proposes development of the MP-100 handheld FT-infrared photoacoustic chemical agent detector, following a highly successful Phase I effort. Chemical attacks and accidents can be mitigated partially by cost-effective sensors. High priority programs will benefit from a sensor compliant to Joint Warning & Reporting Network (JWARN) standards. The device is ideally suited to ...

    SBIR Phase II 2006 Department of DefenseOffice for Chemical and Biological Defense
  3. Predicting Performance of Protective Clothing Systems

    SBC: CREARE LLC            Topic: N/A

    N/A

    SBIR Phase II 2000 Department of DefenseOffice for Chemical and Biological Defense
  4. Model-Based Design of Test Systems for Chemical Protective Clothing

    SBC: CREARE LLC            Topic: CBD02202

    The current methodology for testing the penetration resistance of textile materials to various chemical agents has a number of drawbacks, including significant uncertainties in the resulting data, inefficiency and expense, risk to test personnel, and limited range of test conditions. The objective of the proposed work is to apply unique computer models for textiles with accompanying experimental ...

    SBIR Phase II 2005 Department of DefenseOffice for Chemical and Biological Defense
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