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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. Development of a Rapid Monitoring System for Detection of Pathogens in Marine Aquaculture Operations

    SBC: INNOVAPREP LLC            Topic: 836

    TECHNICAL ABSTRACT: InnovaPrep proposes to develop a rapid sample-to-answer monitoring system for detecting pathogens in marine aquaculture waters. An assessment of industry needs will include a kickoff meeting with NOAA and a visit to Toby Island Bay Oyster Farm. Following the assessment and report, a TRL-4 breadboard prototype system will be developed that will include the combination of sample ...

    SBIR Phase I 2018 Department of CommerceNational Oceanic and Atmospheric Administration
  2. Analysis of Integrated Circuits Using Limited X-rays

    SBC: LICKENBROCK TECHNOLOGIES, INC.            Topic: DMEA152002

    There exists currently a need to non-destructively evaluate the construction of integrated circuits (ICs) that will ensure the trust of ICs used inmilitary systems, but designed and fabricated under untrusted conditions. An X-ray microscope (XRM) equipped with a lab X-ray source will beused to fill this need. The drawbacks to this system are prohibitively long acquisition times due to reduced X-ra ...

    SBIR Phase I 2016 Department of DefenseDefense Microelectronics Activity
  3. 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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