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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. Monitoring network for methane emissions

    SBC: MESA PHOTONICS LLC            Topic: 2C

    Methane (CH4) is the second most important greenhouse gas after carbon dioxide (CO2). Human activity related radiative forcing by methane accounts for about half of that caused by CO2. In the U.S., the largest industrial source of CH4 is oil and gas systems. Fugitive sources are often identified as potentially large sources of CH4 emissions; however, multiple measurement challenges inhibit more co ...

    SBIR Phase I 2023 Environmental Protection Agency
  2. Component Optimization for Improved Refrigerant Recovery

    SBC: Optimized Thermal Systems, Inc.            Topic: 2E

    Refrigerants are known to have harmful impacts on the environment. It is essential that those that are particularly harmful with a high global warming potential (GWP) are recovered correctly for proper recycling or disposal. Unfortunately, all too often, refrigerant is not properly recovered either due to system failure, technician error, or unincentivized industry practice. With implementation of ...

    SBIR Phase I 2023 Environmental Protection Agency
  3. Multi-Angle, Multi-Wavelength Scattering Diagnostic for Characterization of Dense Liquid Aerosol Sprays

    SBC: OPTICSLAH, LLC            Topic: DTRA224005

    Characterization of liquid aerosol droplets in agent defeat scenarios presents enormous challenges, in part due to high optical density conditions in sprays generated from shock or fragment interactions with liquid-filled containers.  We propose a new diagnostic that can probe optically dense regions, based on optical scattering of laser light from particles/droplets.  Our diagnostic instrument ...

    SBIR Phase I 2023 Department of DefenseDefense Threat Reduction Agency
  4. A Broadband and Compact Dual Comb Spectrometer for Precise Field Detection of Trace Elements and Chemicals

    SBC: OPTICSLAH, LLC            Topic: DTRA20B003

    There is a growing need to accurately characterize nuclear materials not only for nuclear safeguards and nonproliferation treaty verification but also for forensics and provenance. At present, nuclear material identification requires samples to be collected and sent to laboratories for analysis using large and expensive equipment, such as inductively coupled plasma mass spectrometers (ICP-MS) or s ...

    STTR Phase II 2023 Department of DefenseDefense Threat Reduction Agency
  5. Efficient Machine Learning Algorithms for Information Fusion from Radiation Detectors

    SBC: XL SCIENTIFIC LLC            Topic: DTRA212006

    This proposal for Phase II in response to the Defense Threat Reduction Agency (DTRA) topic 212-006 “Algorithm that can locally link radiation detectors (of different resolutions) to enhance identification/ localization capability”. The topic describes the need for an algorithm to support the fusion of multiple and varied detector outputs into actionable information. The specific focus is to id ...

    SBIR Phase II 2023 Department of DefenseDefense Threat Reduction Agency
  6. A novel water quality measurement system as a teaching aid for environmental education

    SBC: GAIAXUS LLC            Topic: 91990023R0016

    Not available

    SBIR Phase II 2023 Department of EducationInstitute of Education Sciences
  7. A novel water quality measurement system as a teaching aid for environmental education

    SBC: GAIAXUS LLC            Topic: 91990022R0001

    Not available

    SBIR Phase I 2022 Department of EducationInstitute of Education Sciences
  8. A Deep Learning Approach for Enhanced Identification of Nuclear Explosions

    SBC: Array Information Technology, Inc            Topic: DTRA182005

    ML is a subset of AI. Discrimination based on SI signals is a module in monitoring systems(NDC & IDC. We will provde a prototype  that will incorporate elements of the discrimination procedures found

    SBIR Phase II 2022 Department of DefenseDefense Threat Reduction Agency
  9. Efficient Machine Learning Algorithms for Information Fusion from Radiation Detectors DSIP Proposal Number

    SBC: XL SCIENTIFIC LLC            Topic: DTRA212006

    Our proposal addresses the need for an algorithm to support the fusion of multiple and varied detector outputs into an actionable information. Specific focus is to identify and localize a radiation source in a complex environment and to characterize the complete scene. We will apply our extensive experience with radiation detection to thoroughly model a variety of radiation detectors deployed to c ...

    SBIR Phase I 2022 Department of DefenseDefense Threat Reduction Agency
  10. Storage Tank Abatement of Methane using Persistent Emissions Detection (STAMPED)

    SBC: SPECTRAL SENSOR SOLUTIONS, LLC            Topic: 2F

    Approximately 25% of all anthropogenic generated methane comes from the oil and gas industry, and it is estimated that ~6% of those emissions are from storage tanks used in the production phase. Methane has a shorter lifetime in the atmosphere but has a significantly greater warming potential than carbon dioxide on short time scales. The emissions from these storage tanks are not well known, and n ...

    SBIR Phase I 2022 Environmental Protection Agency
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