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Feedstock Readiness Level (FSRL) evaluation: Triticum aestivum (wheat straw), Alcohol-to-Jet, Central East, May 2017

    Feedstock readiness level evaluations are performed for a specific feedstock-conversion process combination and for a particular region. FSRL evaluations complement evaluations of Fuel Readiness Level (FRL) and environmental progress. The data from this evaluation, compiled in May 2017, assesses the maturity of *Triticum aestivum* (wheat straw), as a feedstock for the Alcohol-to-Jet conversion process in the United States Central East region.

    Feedstock Readiness Level (FSRL) evaluation: Herbaceous perennial grasses, Alcohol-to-Jet, Central East, Mar. 2017

      Feedstock readiness level evaluations are performed for a specific feedstock-conversion process combination and for a particular region. FSRL evaluations complement evaluations of Fuel Readiness Level (FRL) and environmental progress. The data from this evaluation, compiled in March 2017, assesses the maturity of *Panicum virgatum*, *Andropogon gerardii* and *Sorghastrum nutans*, as a feedstock for the Alcohol-to-Jet conversion process in the United States Central East region.

      Feedstock Readiness Level (FSRL) evaluation: Zea mays (corn stover), Alcohol-to-Jet, Central East, Mar. 2017

        Feedstock readiness level evaluations are performed for a specific feedstock-conversion process combination and for a particular region. FSRL evaluations complement evaluations of Fuel Readiness Level (FRL) and environmental progress. The data from this evaluation, compiled in March 2017, assesses the maturity of *Zea mays* (corn stover) as a feedstock for the Alcohol-to-Jet conversion process in the United States Central East region.

        Feedstock Readiness Level (FSRL) evaluation: Andropogon gerardii (big bluestem), Alcohol-to-Jet, Central East, Mar. 2017

          Feedstock readiness level evaluations are performed for a specific feedstock-conversion process combination and for a particular region. FSRL evaluations complement evaluations of Fuel Readiness Level (FRL) and environmental progress. The data from this evaluation, compiled in March 2017, assesses the maturity of *Andropogon gerardii* (big bluestem) as a feedstock for the Alcohol-to-Jet conversion process in the United States Central East region.

          Feedstock Readiness Level (FSRL) evaluation: Sorghum bicolor (sweet sorghum), Alcohol-to-Jet, Central East, Mar. 2017

            Feedstock readiness level evaluations are performed for a specific feedstock-conversion process combination and for a particular region. FSRL evaluations complement evaluations of Fuel Readiness Level (FRL) and environmental progress. The data from this evaluation, compiled in March 2017, assesses the maturity of Sorghum bicolor (sweet sorghum) as a feedstock for the Alcohol-to-Jet conversion process in the United States Central East region.

            Feedstock Readiness Level (FSRL) evaluation: Panicum virgatum (switchgrass), Alcohol-to-Jet, Central East, Mar. 2017

              Feedstock readiness level evaluations are performed for a specific feedstock-conversion process combination and for a particular region. FSRL evaluations complement evaluations of Fuel Readiness Level (FRL) and environmental progress. The data from this evaluation, compiled in March 2017, assesses the maturity of *Panicum virgatum* (switchgrass), as a feedstock for the Alcohol-to-Jet conversion process in the United States Central East region.

              Data from: Soil Water Holding Capacity Mitigates Downside Risk and Volatility in US Rainfed Maize: Time to Invest in Soil Organic Matter?

                This dataset includes county-level annual data on maize (Zea mays L.) yield, soil physical and chemical characteristics, and mean weather data for 2000 through 2014 for IL, MI, MN and PA. The data were aggregated from public databases, including NASS Quick Stats, NOAA Climate Data Online, and the USDA-NRCS Web Soil Survey. U.S. counties were the experimental unit for this study, and all data are county-level averages. Covariances among county-level maize yield stability and environmental variability were analyzed using structural equation models (SEM) and linear mixed effects (LME) models.