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Federal
Estimating Biofuel Contaminant Concentration from 4D ERT with Mixing Models
U.S. Environmental Protection Agency —
The data are ground penetrating radar, electrical resistivity, and interpretation data. This dataset is not publicly accessible because: Secondary data, not EPA data.... -
Federal
National level POLYSYS data for Hellwinckel et al. (2015): Simulated impact of the renewable fuels standard on US Conservation Reserve Program enrollment and conversion
U.S. Environmental Protection Agency —
This is the data of national level land conversions, prices, assumptions, etc., in the POLYSYS runs to estimate the land use change impacts from a growing biofuels... -
Federal
Bioenergy Scenario Model (BSM) data from Miller et al
U.S. Environmental Protection Agency —
This dataset shows all the scenario outputs from the Bioemergy Scenarion Model (BSM) in estimating the effect of various factors on the production od soybean... -
Federal
Data from Wang et al_BEPAM assessment of soy induced land use change
U.S. Environmental Protection Agency —
This is the data frrom Wang et al. (https://doi.org/10.1088/2515-7620/acd1d7) which used the BEPAM model to estimate changes in land use from soybean biodiesel in the... -
Federal
Incorporating New Technologies in EEIO Models - Case Study Input Data
U.S. Environmental Protection Agency —
The dataset includes three input data file used in modeling woody-based biofuels in the USEEIO framework. The files are referenced in the model specification .yml... -
Federal
Neurophysiological assessment of auditory, peripheral nerve, somatosensory, and visual system function after developmental exposure to gasoline, E15, and E85 vapors.
U.S. Environmental Protection Agency —
Visual, auditory, somatosensory, and peripheral nerve evoked responses. This dataset is associated with the following publication: Herr , D., D. Freeborn , L. Degn ,...