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Bioenergy Knowledge Discovery Framework
The Bioenergy Knowledge Discovery Framework (BioKDF) provides a centralized repository of datasets and reports and contributes decision criteria for each feedstock management; matrices regarding cost, performance, and life cycle impacts (e.g., on air and water quality); support to make informed decisions on how to integrate bioenergy into existing cropping systems for improved performance and robust growth in domestic jobs.
The BioKDF supports the data-driven bioeconomy, by ensuring access to high-quality data that supports breakthroughs for the US bioeconomy, including market analyses by feedstock and data behind the Billion-ton Reports. This data can be used to chart a course for larger investments in support of strategically targeted scientific research. On the BioKDF website, you'll find easy-to-use tools, including maps at the county level for various feedstocks that show modeled resources for different areas such as what energy crops may grow well in different US regions. Using modern data principles, the BioKDF makes it easy to find and access these important data as well as provide key information about the data to ensure it is in line with modern data principles (e.g., FAIR). This supports new advancements and interdisciplinary collaborations needed for rapid research outcomes.
This centralized data repository for strategies from biomass archives economic and geospatial data about: marine biofuels, aviation fuels, biomass-power, and high-octane fuels. Additional topics include the Billion-ton data, and standards for bioenergy.
Complete Metadata
| bureauCode |
[ "019:20" ] |
|---|---|
| dataQuality | true |
| identifier | https://data.openei.org/submissions/140 |
| issued | 2014-11-25T07:00:00Z |
| landingPage | https://data.openei.org/submissions/140 |
| programCode |
[ "019:005" ] |
| projectNumber | 22893 |
| projectTitle | Bioenergy Knowledge Discovery Framework (bioenergyKDF) |
| spatial | {"type":"Polygon","coordinates":[[[-125.4514,24.5873],[-66.5318,24.5873],[-66.5318,49.2637],[-125.4514,49.2637],[-125.4514,24.5873]]]} |