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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. Optical Water Level Sensor

    SBC: CIENCIA INC            Topic: N/A

    Development of an optical water level sensor is proposed to solve some of the problems and limitations of current sounding tube/protective well acoustic sensors. By using light instead of sound, temperature gradient effects on the measurement are obviated. Furthermore, the proposed system eliminates the need for a sounding tube, protective well and associated temperature sensors, and does not requ ...

    SBIR Phase II 1998 Department of Commerce
  2. EVALUATION OF A PROTOTYPE WATER REUSE SYSTEM FOR INDOOR PRODUCTION OF MARINE SHRIMP

    SBC: Seafood Systems, Inc.            Topic: N/A

    N/A

    SBIR Phase I 1998 Department of Commerce
  3. LOW COST PRE-FIRE DETECTOR

    SBC: Sensor Research And Development Corporation            Topic: N/A

    N/A

    SBIR Phase I 1998 Department of Commerce
  4. Manufacturing Data Compiler for Visualization Based on Engineering-Driven Machine Learning

    SBC: OG Technologies, Inc.            Topic: NA

    There has been substantial development in data analytics. However, the complex mathematical formulation of “big data analytics” is difficult to populate in general manufacturing plants. There is a need for an SPC-like tool to enable the acceptance of the advanced data analytics and its visualization. The MD Compiler, a tool to bridge the gap between data available and the information demanded ...

    SBIR Phase I 2018 Department of CommerceNational Institute of Standards and Technology
  5. Self-Configuring Residential Conditioned Air Zoning System for Low Energy Homes

    SBC: STEVEN WINTER ASSOCIATES INC            Topic: NA

    Steven Winter Associates, Inc. (SWA) hereby proposes to undertake research to develop a self-configuring residential conditioned air zoning system for low load energy homes. The Phase I prototype will feature zone nodes and a master controller. The zone nodes will measure and wirelessly report environmental conditions to the central controller, and modulate a damper based on commands received from ...

    SBIR Phase I 2018 Department of CommerceNational Institute of Standards and Technology
  6. Dual Plane 3D Compton Scattering Imager with Pixelated CZT Detectors for 1-10MeV Gamma Ray

    SBC: H3D INC            Topic: NA

    A dual plane Compton imager prototype system with large volume pixelated CZT detectors will be built for spectrally resolved MeV gamma ray tomographic applications. These two planes will be operated at independent clocks and they will be synchronized via a common periodical pulse. The common periodical pulse is self-generated so it does not rely on external pulse generator. Each detector will be c ...

    SBIR Phase I 2018 Department of CommerceNational Institute of Standards and Technology
  7. Development of “Permit Wizard” Software for AssistedPermit Application Completion

    SBC: TOTAL QUALITY SYSTEMS, INC.            Topic: 833

    TECHNICAL ABSTRACT: The objective of this project is to research the technical feasibility of designing a software tool “Permit Wizard” that will automate the process for aquamarine permit application submittal, review, approval/disapproval and issue (including collection of fees). Aquaculture producers are currently faced with slow, complex, and often confusing permitting processes that must ...

    SBIR Phase I 2018 Department of CommerceNational Oceanic and Atmospheric Administration
  8. Algorithms for Look-down Infrared Target Exploitation

    SBC: SIGNATURE RESEARCH, INC.            Topic: 1

    Signature Research, Inc. (SGR) and Michigan Technological University (MTU) propose a Phase I STTR effort to develop a learning algorithm which exploits the spatio-spectral characteristics inherent within IR imagery and motion imagery.Our archive of modelled and labeled data sets will allow our team to thoroughly capture the variable elements that will drive machine learning performance.The overall ...

    STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
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