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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.

Displaying 1 - 10 of 4747 results
  1. Demonstration and Analysis of Reusable Launch Vehicle Operations

    SBC: Garvey Spacecraft Corporation            Topic: AF05201

    The increased use of reusable systems continues to be one of the most promising options for creating advancements in the daily maintenance of rocket systems, lowering hours for preparation and diminishing expenses for preparation. However, since the end of the DC-X/XA Delta Clipper program, flight testing of candidate reusable launch vehicle (RLV) designs, technologies and operations has come to ...

    SBIR Phase I 2005 Department of DefenseAir Force
  2. Mid-infrared Fiber Laser Based on Super-Continuum

    SBC: OMNI SCIENCES, INC.            Topic: ST051008

    Infrared counter-measures require a mid-infrared laser operating between 3-5 microns with average powers of tens of watts. Omni Sciences, Inc.'s (OSI's) aims to develop a Mid-Infra-Red FIber Laser (MIRFIL) based on super-continuum (SC) generation that produces a continuous spectrum between 1-5 microns. OSI has demonstrated broadband SC in high-nonlinearity fused silica (HiNL) and ZBLAN fluoride ...

    STTR Phase I 2005 Department of DefenseDefense Advanced Research Projects Agency
  3. Miniaturized UAS Spectroradiometer for Quantifying Ecosystems

    SBC: SPORIAN MICROSYSTEMS, INC            Topic: 19a

    Terrestrial models of carbon stock and flux rely on detailed parameterizations using trait data to represent vegetation processes in a given ecosystem. Hyperspectral optical characterization (350-2500 nm) can quantify many of these parameterizations at both leaf and landscape scales. Traditional aircraft and large-payload Unmanned Aerial Systems (UAS) provide an excellent opportunity to utilize hy ...

    SBIR Phase I 2016 Department of Energy
  4. Profiling Airborne Microwave Radiometer

    SBC: BOULDER ENVIRONMENTAL SCIENCES AND TECHNOLOGY, LLC            Topic: 17a

    The proposed project will develop a lightweight, low volume and low power consuming sensor for accurate measurements of liquid water or ice water content of clouds, water vapor concentration and local thermodynamic state of the atmosphere. It will be capable to operate from a small unmanned aircraft system platform, with instrument weight less than 6 kg and power requirement of less than 150W. The ...

    SBIR Phase I 2016 Department of Energy
  5. Compact Nanoparticle Size Distribution Measurement System for Unmanned Aerial Systems (UAS)

    SBC: BRECHTEL MANUFACTURING, INC.            Topic: 17b

    Emissions from energy production and other anthropogenic activities are altering the physical and chemical properties of the atmosphere and have been linked to climate change, environmental degradation, human health problems, and changes in clouds and aerosols. Modelers of climate change require observational constraints on the particle number size distribution and hygroscopic growth in order to p ...

    SBIR Phase I 2016 Department of Energy
  6. Airborne Sensor for High-resolution imaging of Water Droplets and Ice Particles in Clouds

    SBC: APPLIED SCIENCE INNOVATIONS, INC            Topic: 17a

    Applied Science Innovations (ASI) proposes development of the Cloud and Aerosol Measurement and Imaging System (CAMIS) for small aerial platforms, such as ScanEagle or other unmanned aerial systems, balloons or kites to measure and classify the size, phase and habits of the related water or ice particles. The measurements and characterizations of cloud and aerosol particle properties, their evolut ...

    SBIR Phase I 2016 Department of Energy
  7. Cloud droplet characterization instrument for small aerial platforms

    SBC: MESA PHOTONICS LLC            Topic: 17a

    Stratus and stratocumulus clouds with low drop concentration and large drop diameter are scientifically very important, because this is the regime in which drizzle drops are formed. The formation of drizzle can lead to a rapid modification of the cloud droplet size distribution, which in turn has a strong influence on the cloud's radiative properties. Because stratus and stratocumulus clouds cover ...

    SBIR Phase I 2016 Department of Energy
  8. Microbial co-cultures for production of methyl ketones from lignocellulose

    SBC: ECOVIA RENEWABLES INC.            Topic: 20g

    Production of liquid transportation fuels from abundant and renewable lignocellulosic biomass represents a promising and sustainable alternative to present petroleum feedstock platforms. However, despite several decades of substantial efforts, commercialization of cellulosic biofuels has been limited and faces critical challenges, which include increased fossil fuel supply from hydraulic ...

    STTR Phase I 2016 Department of Energy
  9. Dynamic IR Window Film to Improve Window Energy Efficiency

    SBC: IR Dynamics            Topic: DEFOA0001429

    IR Dynamics, LLC will develop a low-cost nanomaterial technology to be incorporated into flexible window films that will improve thermal insulation and solar heat gain. The team's nanomaterial will incorporate two materials. First, low-cost nanosheets will increase thermal resistance. Second, a new type of nanomaterial will allow heat, in the form of infrared radiation (IR) from the sun, to pass t ...

    SBIR Phase I 2016 Department of EnergyARPA-E
  10. Compact, High Performance, Drone-mounted Spectral Imaging System for Ecosystem Carbon-Cycle Characterization and Agricultural Monitoring

    SBC: SPECTRAL SCIENCES, INC            Topic: 19a

    Modeling and predicting climate change requires knowledge of the fate of excess CO2 in the global carbon cycle, and particularly the processes of terrestrial carbon sequestration. Information on these processes can be obtained from vegetation trait measurements at frequent time intervals and over a wide range of spatial scales using imaging spectroradiometers on Unmanned Aerial Systems. The requir ...

    SBIR Phase I 2016 Department of Energy
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