Scenario and sensitivity analysis of U.S. soybean oil biodiesel production within the GLOBIOM model
This dataset provides the scenario output data assessed in the following publication:
Understanding Uncertainty in Market-Mediated Responses to US Oilseed Biodiesel Demand: Sensitivity of ILUC Emission Estimates to GLOBIOM Parametric Uncertainty
Neus Escobar, Hugo Valin, Stefan Frank, Diana Galperin, Christopher M. Wade, Leopold Ringwald, Daniel Tanner, Niklas Hinkel, Petr Havlík, Justin S. Baker, Sharyn Lie, and Christopher Ramig
Environmental Science & Technology 2025 59 (1), 302-314
DOI: 10.1021/acs.est.3c09944
Data included consist of
1. outputs for a central baseline scenario and policy shock which mandates an additional 1 billion gallons of soybean oil biodiesel consumption within the USA
2. calculated scenario differences for each trial under a one-at-a-time sensitivity analysis
3. calculated scenario differences for each trial under a Monte-carlo sensitivity analysis
4. calculated results from a Bayesian Additive Regression Trees (BART) analysis. Citation information for this dataset can be found in Data.gov's References section.
Complete Metadata
| accessLevel | public |
|---|---|
| bureauCode |
[
"020:00"
]
|
| contactPoint |
{
"fn": "Daniel Tanner",
"hasEmail": "mailto:tanner.daniel@epa.gov"
}
|
| description | This dataset provides the scenario output data assessed in the following publication: Understanding Uncertainty in Market-Mediated Responses to US Oilseed Biodiesel Demand: Sensitivity of ILUC Emission Estimates to GLOBIOM Parametric Uncertainty Neus Escobar, Hugo Valin, Stefan Frank, Diana Galperin, Christopher M. Wade, Leopold Ringwald, Daniel Tanner, Niklas Hinkel, Petr Havlík, Justin S. Baker, Sharyn Lie, and Christopher Ramig Environmental Science & Technology 2025 59 (1), 302-314 DOI: 10.1021/acs.est.3c09944 Data included consist of 1. outputs for a central baseline scenario and policy shock which mandates an additional 1 billion gallons of soybean oil biodiesel consumption within the USA 2. calculated scenario differences for each trial under a one-at-a-time sensitivity analysis 3. calculated scenario differences for each trial under a Monte-carlo sensitivity analysis 4. calculated results from a Bayesian Additive Regression Trees (BART) analysis. Citation information for this dataset can be found in Data.gov's References section. |
| distribution |
[
{
"title": "Data_PubMed_Submission.xlsx",
"mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
"downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532395/Data_PubMed_Submission.xlsx"
}
]
|
| identifier | https://doi.org/10.23719/1532395 |
| keyword |
[
"Economic Model",
"LCA",
"biodiesel",
"biofuels",
"international trade",
"land use change"
]
|
| license | https://pasteur.epa.gov/license/sciencehub-license.html |
| modified | 2024-12-02 |
| programCode |
[
"020:000"
]
|
| publisher |
{
"name": "U.S. Environmental Protection Agency",
"subOrganizationOf": {
"name": "U.S. Government"
}
}
|
| references |
[
"https://doi.org/10.1021/acs.est.3c09944",
"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11741104"
]
|
| rights |
null
|
| title | Scenario and sensitivity analysis of U.S. soybean oil biodiesel production within the GLOBIOM model |
