County

Agricultural crop and residue production by county - mature-market medium scenario

This dataset contains data on agricultural crop and residue production by county from 2022 to 2041. The agricultural crop in this dataset includes barley, biomass sorghum, corn, cotton, energy cane, eucalyptus, grain sorghum, hay, miscanthus, oats, pine, poplar, rice, soybean, switchgrass, wheat, and willow, and the agricultural residue includes barley straw, corn stover, oats straw, sorghum stubble, and wheat straw. The dataset was obtained from the database of the BT23 (Davis et al., 2024) for the mature-market medium scenario with biomass market prices of up to $70 per dry ton.

For access to this dataset, please use teh contact form and indicate the dataset by name.

Keywords
BT23
agriculture
agricultural production
Agricultural residues
crop
cropland
biomass
biomass feedstocks
feedstock production
County
Publication Date
Organization
DOE
Metadata
Agri_crop.csv is a comma-separated file that holds the following variables:
siml: This indicates the name of the scenario.
year: This indicates the year.
fips: This is a geographically defined variable corresponding to counties provided as a 5-digit code.
resource: This indicates the type of agricultural crop.
prod: This indicates the total production of the agricultural crop in biomass dry ton.
plnt: This indicates the total planted area in acres.
harv: This indicates the total harvested area in acres.
Agri_resd.csv is a comma-separated file that holds the following variables:
siml: This indicates the name of the scenario.
year: This indicates the year.
fips: This is a geographically defined variable corresponding to counties provided as a 5-digit code.
resource: This indicates the type of agricultural residue.
total_resd: This indicates the in-field production of residue excluding grain in biomass dry ton.
prod: This indicates the total production of harvested residue in the scenario in biomass dry ton.
harv: This indicates the total harvested area in acres.
Lab
ORNL
Data Source
2023 Billion-Ton Report: An Assessment of U.S. Renewable Carbon Resources
Bioenergy Category
Feedstock Production
Author(s)
Jin Wook Ro , Maggie R. Davis , Chad Hellwinckel
isPartOf parent DOI
https://doi.org/10.23720/BT2023/2282885
Create a DOI (from OSTI) for this document
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OSTI DOI Released
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OSTI DOI Infix
BT23

Agricultural crop and residue production by county - near-term scenario

This dataset contains data on agricultural crop and residue production by county in 2041. The agricultural crops in this dataset include barley, corn, cotton, grain sorghum, hay, oats, rice, soybeans, and wheat. The agricultural residues include barley straw, corn stover, oats straw, sorghum stubble, and wheat straw. The dataset was obtained from the database of the BT23 (Davis et al.,2024) for the near-term scenario with biomass market prices of up to $70 per dry ton.

For access to this dataset, please use the contact form and indicate this dataset by name.

Keywords
BT23
agriculture
agricultural production
agricultural crop
crop
cropland
biomass
biomass feedstocks
feedstock production
County
Publication Date
Organization
DOE
Metadata
Agcrop.csv is a file that holds the following variables:
fips: This indicates the geographically defined variable corresponding to counties in the form of a 5-digit code.
state: This indicates the abbreviation for the state name.
county: This indicates the county name.
state_name: This indicates the part of the fips which represents the state.
sqmi: This indicates the total area of the county in square miles including water.
usdaregion: This indicates the US Department of Agriculture defined region.
geog_src_name: This indicates the name of the source of the feedstock.
model_name: This indicates the model name which describes the acronym of the tool or dataset used to simulate feedstock supply.
class_name: This indicates the feedstock class name to denote land source or analysis source corresponding to the 2023 Billion-Ton report.
subclass_name: This indicates the feedstock subclass name.
resource_name: This indicates the feedstock resource name.
scenario_name: This indicates the scenario name as defined in the 2023 Billion-Ton report or other customized scenarios.
prc_ofr: This indicates the price offered.
harv: This indicates the harvested area.
prod: This indicates the amount of resource modeled as produced under the scenario simulation.
produnit: This indicates the unit of production specified.
price: This indicates the price per unit of production.
landsrce: This indicates the land source.

Agresid.csv is a file that holds the following variables:
fips: This indicates the geographically defined variable corresponding to counties in the form of a 5-digit code.
state: This indicates the abbreviation for the state name.
county: This indicates the county name.
state_name: This indicates the part of the fips which represents the state.
sqmi: This indicates the total area of the county in square miles including water.
usdaregion: This indicates the US Department of Agriculture defined region.
geog_src_name: This indicates the name of the source of the feedstock.
model_name: This indicates the model name which describes the acronym of the tool or dataset used to simulate feedstock supply.
class_name: This indicates the feedstock class name to denote land source or analysis source corresponding to the 2023 Billion-Ton report.
subclass_name: This indicates the feedstock subclass name.
resource_name: This indicates the feedstock resource name.
scenario_name: This indicates the scenario name as defined in the 2023 Billion-Ton report or other customized scenarios.
prc_ofr: This indicates the price offered.
harv: This indicates the harvested area.
prod_totl: This indicates the total amount of resource modeled as produced under the scenario simulation.
prod: This indicates the amount of resource modeled as produced under the scenario simulation.
produnit: This indicates the unit of production specified.
price: This indicates the price per unit of production.
Landsrce: This indicates the land source.
Lab
ORNL
Data Source
2023 Billion-Ton Report: An Assessment of the U.S. Renewable Carbon Sources
Bioenergy Category
Feedstock Production
Author(s)
Jin Wook Ro , Maggie R. Davis , Chad Hellwinckel
isPartOf parent DOI
10.23720/BT2023/2316171
Create a DOI (from OSTI) for this document
On
OSTI DOI Released
DOI is only Reserved.
OSTI DOI Infix
BT23
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