Data for: The Carbon Footprint of Cold Chain Food Flows in the United States
Citation:
Wang, Junren; Karakoc, Deniz Berfin; Konar, Megan (2022): Data for: The Carbon Footprint of Cold Chain Food Flows in the United States. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-8455093_V1
Persistent link for this dataset:
Related Article Wang, Junren, Deniz Berfin Karakocet, and Megan Konar. (2022). The carbon footprint of cold chain food flows in the United States. Environ. Res.: Infrastruct. Sustain. in press. https://doi.org/10.1088/2634-4505/ac676d
Dataset Description

This dataset is a estimation of county-to-county commodity delivery through cold chain in 2017.
For each county pair, the weight[kg] and value[$] of the cold chain flow between origin and destination for SCTG 5 and SCTG 7 commodities are estimated by our model.
- SCTG 5 - Meat, poultry, fish, seafood, and their preparations
- SCTG 7 - Other prepared foodstuffs, fats, and oils

Subject Physical Sciences
Keywords food flows; cold chain; county-scale; United States; carbon footprint
License CC BY
Funder U.S. Department of Agriculture (USDA)
Funder U.S. National Science Foundation (NSF) - Grant: CBET-1844773
Funder U.S. National Science Foundation (NSF) - Grant: DEB-1924309
Funder U.S. National Science Foundation (NSF) - Grant: BCS-2032065
Funder U.S. National Science Foundation (NSF) - Grant: CBET-2115405
Corresponding Creator Megan Konar
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Version DOI Comment Publication Date
1 10.13012/B2IDB-8455093_V1 2022-03-23
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