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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. Continuous Monitoring of Natural Gas Infrastructure for Increased Community Resilience using Voltammetric Sensors

    SBC: FULLMOON SENSORS, INC.            Topic: None

    Fullmoon has the first chip-level sensors capable of identifying and quantifying molecules in the air. At the core of our technology are printed voltammetric sensors, which are operated using cyclic voltammetry, an electrochemical technique that probes for the redox potential, a unique signature of molecules. We have demonstrated this sensing principle for the detection of carbon monoxide and meth ...

    SBIR Phase I 2019 Department of CommerceNational Institute of Standards and Technology
  2. Compact Raman Fiber Optic Probe with Inline Spectral Filtering

    SBC: NIKIRA LABS INC.            Topic: None

    In this Small Business Innovative Research (SBIR) effort, Nikira Labs Inc. proposes to develop a compact Raman fiber optic probe with inline spectral filtering that improves fiber-coupled Raman measurements by filtering out Raman scattering from the excitation fiber and elastically scattered laser light from the collection fibers. The technology will enable compact fiber probes for Raman studies i ...

    SBIR Phase II 2019 Department of CommerceNational Institute of Standards and Technology
  3. Direct Performance Evaluation of Additive Manufacturing Process Plans

    SBC: INTACT SOLUTIONS, INC            Topic: None

    Additive manufacturing is steadily advancing towards fulfilling its promise of customized and on-demand production of functional parts. However, performance of as-manufactured parts can differ significantly from the as-designed parts because the as-manufactured geometry differs from the as-designed geometry and the asmanufactured material properties are not known. Attempts to predict performance o ...

    SBIR Phase I 2019 Department of CommerceNational Institute of Standards and Technology
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