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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. CHEMICAL SENSING ELECTRODES

    SBC: ANATRACE, INC.            Topic: N/A

    THE STUDY OF OCEAN PROCESSES SUCH AS MINERAL DISSOLUTION, ION SPECIATION AND REDOX EQUILIBRIA AS WELL AS EFFLUENT AND POLLUTION MONITORING REQUIRE ACCURATE AND PRECISE MEASUREMENTS OF BOTH MAJOR AND MINOR CHEMICAL CONSTITUENTS. ALTHOUGH SPECTROPHOTOMETRY AND FLAME PHOTOMETRY HAVE BEEN USED FOR SEA WATER ANALYSIS, POTENTIONMETRY WITH ION-SELECTIVE ELECTRODES IS THE MOST COMMON-METHODOLOGY, PARTICUL ...

    SBIR Phase II 1988 Department of Commerce
  2. Sensor Fusion Software to aid in response and evacuation of subterranean incidents

    SBC: DAX TECHNOLOGIES INTERNATIONAL            Topic: HSB071002

    The speed at which an attack is detected is a critical trigger for all responses to follow. The accurate determination of the type of attack will determine the type of emergency personnel and response needed. The location will determine the target response area as well as determine by proximity which of the responders that are available can be first on the scene. Therefore, a system that can do th ...

    SBIR Phase II 2008 Department of Homeland Security
  3. Chem Bio Sensor Wizard for Engineering Environmental Protection

    SBC: Peerless Technologies Corporation            Topic: HSB062001

    In Phase I, the Peerless team developed an approach for an innovative wizard driven, turn-key, system that can be used by inexperienced operators to quickly design new sensor networks and evaluate existing sensor networks for the protection against and detection of CB agents within public structures. For Phase II, Peerless will conduct three development spirals to build the prototype system, valid ...

    SBIR Phase II 2008 Department of Homeland Security
  4. A Compact Turbo-Rankin Energy Conversion System

    SBC: CREARE LLC            Topic: 8211

    Creare is developing a miniature power system for NOA weather monitoring stations in remote locations. This system can provide electric power continuously from naturally occurring temperature differences that exist between ambient air and water in environments such as the Arctic Ocean and the Great Lakes. Generating power directly from these temperature difference uses the atmosphere and ocean/lat ...

    SBIR Phase II 2019 Department of CommerceNational Oceanic and Atmospheric Administration
  5. Development of a Rapid Monitoring System for Detection of Pathogens in Marine Aquaculture

    SBC: INNOVAPREP LLC            Topic: 836

    pathogens in marine aquaculture waters. Phase II research will look to improve sample concentration, cell lysis, and DNA purification techniques that were developed in Phase I. More specifically, optimization of the prototype lysis/elution fluid will be further developed for cell lysis using BSL-1 organisms, Vibrio harveyi, a surrogate for pathogenic Vibrio ssp. Techniques will be developed to ove ...

    SBIR Phase II 2019 Department of CommerceNational Oceanic and Atmospheric Administration
  6. RadioNuclide Threat Tracking System (RNTTS)

    SBC: DEEP ANALYTICS LLC            Topic: HSB0181010

    The integration of radiological and nuclear (RN) sensors with commercial video management systems (VMSs) would greatly enhance DHS/CWMD's ability to fulfill its mission. To demonstrate the value of integrating RN sensors with existing VMSs, DA proposes the RadioNuclide Threat Tracking System (RNTTS). RNTTS interfaces with existing RN sensors and uses cutting-edge machine learning (ML) algorithms t ...

    SBIR Phase II 2019 Department of Homeland Security
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