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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. Feasibility and proof of concept of a dense, low cost, network of sensors driving Intelligent building Agents for air quality and energy control.

    SBC: XMARK LABS, LLC            Topic: 6

    Commercial buildings use 35% of the entire US energy output, and up to a third of that energy is wasted. Rapidly rising fuel costs, increasing concern about climate change, and policy directives from the Biden Administration are all driving the need for increased energy efficiency and the elimination of waste. At the same time, the COVID-19 pandemic has dramatically increased public awareness of t ...

    SBIR Phase I 2023 Department of CommerceNational Institute of Standards and Technology
  2. Modeling of Chemical Hazards Dispersion in Lakes and Reservoirs in CONUS

    SBC: MARITIME PLANNING ASSOCIATES, INC.            Topic: DTRA182004

    The objectives of this Phase II study are to develop a complete end-to-end capability for the operational hazard assessment modeling within limnological systems for all of CONUS and to develop preliminary techniques to determine limnological water quality parameters of OCONUS systems, allowing for the eventual hazard assessment modeling in denied or restricted regions. Achieving these objectives w ...

    SBIR Phase II 2020 Department of DefenseDefense Threat Reduction Agency
  3. Modeling of Chemical Hazards Dispersion in Lakes and Reservoirs in CONUS

    SBC: MARITIME PLANNING ASSOCIATES, INC.            Topic: DTRA182004

    The objective of this study is to develop methods to adequately characterize the chemical and physical environments of lakes and reservoirs for the CONUS operational implementation within SHARC. Over the course of this project we will explore the novel and innovative integration of deep machine learning, data analytics, computational fluid mechanics and in-situ/overhead empirical data. Specificall ...

    SBIR Phase I 2019 Department of DefenseDefense Threat Reduction Agency
  4. Waterborne Transport Modeling Capability

    SBC: APPLIED SCIENCE ASSOC.            Topic: DTRA05013

    The proposed Phase II project is to provide an advanced operational waterborne transport modeling capability of chemical agents within four-dimensional marine and fresh water environments. Based upon the findings of Phase I, we propose to further enhance the operational capabilities of ASA’s Waterborne Chemical Transport Model, relative to weaponized chemical agents, by developing comprehensive ...

    SBIR Phase II 2006 Department of DefenseDefense Threat Reduction Agency
  5. Waterborne Transport Modeling Capability

    SBC: APPLIED SCIENCE ASSOC.            Topic: DTRA05013

    The Defense Threat Reduction Agency has expressed the need for waterborne transport and dispersion capability to compliment its existing models for Chemical, Biological, Radiological and Nuclear (CBRN) releases. DTRA's current capability is limited to the atmospheric transport of CBRN agents using the HPAC system. The objective of this proposed Phase I study is to couple Applied Science Associat ...

    SBIR Phase I 2005 Department of DefenseDefense Threat Reduction Agency
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