<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>12(1)</volume><submitter>Zhao X</submitter><funding>DOE | Office of Science</funding><pubmed_abstract>The Food Balance Sheets (FBS), compiled by the Food and Agriculture Organization (FAO), serve as a cornerstone dataset for studies on agricultural development, food security, and dietary health, providing a broad overview of global and regional food systems. However, its limited transparency and scalability hinder its application in empirical analysis and multisector dynamic modeling. Here, we present a traceable Food Balance Sheets (T-FBS) dataset, developed from detailed Supply Utilization Accounts (SUA) using a novel Primary Commodity equivalent (PCe) aggregation approach. This framework enables the aggregation of commodity flows along supply chains while ensuring consistency and balance across multiple dimensions. The T-FBS dataset includes 57 PCe commodities across 195 regions for the period 2010-2022, consolidated from over 500 SUA products. While T-FBS closely aligns with FAO-FBS at aggregate levels for dietary energy and macronutrients, it identifies key uncertainties in other elements (e.g., feed, trade, stocks). By enhancing methodological transparency, traceability, and scalability, T-FBS strengthens the robustness of food system studies and fosters future research and collaboration within the open-source community.</pubmed_abstract><journal>Scientific data</journal><pagination>834</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12095477</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Traceable and Scalable Food Balance Sheets from Agricultural Commodity Supply and Utilization Accounts (2010-2022).</pubmed_title><pmcid>PMC12095477</pmcid><pubmed_authors>Patel P</pubmed_authors><pubmed_authors>Kyle P</pubmed_authors><pubmed_authors>Escobar N</pubmed_authors><pubmed_authors>Chepeliev M</pubmed_authors><pubmed_authors>Binsted MT</pubmed_authors><pubmed_authors>Wise MA</pubmed_authors><pubmed_authors>Zhao X</pubmed_authors></additional><is_claimable>false</is_claimable><name>Traceable and Scalable Food Balance Sheets from Agricultural Commodity Supply and Utilization Accounts (2010-2022).</name><description>The Food Balance Sheets (FBS), compiled by the Food and Agriculture Organization (FAO), serve as a cornerstone dataset for studies on agricultural development, food security, and dietary health, providing a broad overview of global and regional food systems. However, its limited transparency and scalability hinder its application in empirical analysis and multisector dynamic modeling. Here, we present a traceable Food Balance Sheets (T-FBS) dataset, developed from detailed Supply Utilization Accounts (SUA) using a novel Primary Commodity equivalent (PCe) aggregation approach. This framework enables the aggregation of commodity flows along supply chains while ensuring consistency and balance across multiple dimensions. The T-FBS dataset includes 57 PCe commodities across 195 regions for the period 2010-2022, consolidated from over 500 SUA products. While T-FBS closely aligns with FAO-FBS at aggregate levels for dietary energy and macronutrients, it identifies key uncertainties in other elements (e.g., feed, trade, stocks). By enhancing methodological transparency, traceability, and scalability, T-FBS strengthens the robustness of food system studies and fosters future research and collaboration within the open-source community.</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 May</publication><modification>2026-05-29T17:03:02.663Z</modification><creation>2026-04-08T05:26:28.322Z</creation></dates><accession>S-EPMC12095477</accession><cross_references><pubmed>40399299</pubmed><doi>10.1038/s41597-025-05137-y</doi></cross_references></HashMap>