China’s future food demand forecast based on provincial diets and shared socio-economic pathways Article Swipe
Mulin Chen
,
Linsheng Yang
,
Hairong Li
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1038/s41597-025-05485-9
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1038/s41597-025-05485-9
Building on the vast heterogeneity in dietary practices and population size across China, which has contributed to profound regional disparities in food demand, this study incorporated provincial-level dietary preferences and energy needs across different age groups, genders, and residential statuses to project future regional dietary patterns and food demand in China across the five shared socio-economic pathway (SSP) scenarios. The projected diets were proven to be consistent with Chinese dietary practices and fulfilled macronutritrient requirements, compared to dietary guidelines from the EAT-Lancet Commission, the Chinese Nutrition Society, and major peer studies. The dataset covers raw grain demand for 13 major food categories-including rice, wheat, maize, highland barley, tubers, beans, pork, beef, mutton, poultry, aquatic products, eggs, and dairy products-at the provincial level, spanning 2020 to 2100. Diet directly relates to food security, human health, and environmental sustainability. The developed dataset provides detailed demand information at both spatial and food-specific levels, offering valuable insights for conducting food management strategies tailored to regional needs and optimizing resource allocation strategies.
Related Topics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1038/s41597-025-05485-9
- https://www.nature.com/articles/s41597-025-05485-9.pdf
- OA Status
- gold
- Cited By
- 2
- References
- 35
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4412046484
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4412046484Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1038/s41597-025-05485-9Digital Object Identifier
- Title
-
China’s future food demand forecast based on provincial diets and shared socio-economic pathwaysWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-07-05Full publication date if available
- Authors
-
Mulin Chen, Linsheng Yang, Hairong LiList of authors in order
- Landing page
-
https://doi.org/10.1038/s41597-025-05485-9Publisher landing page
- PDF URL
-
https://www.nature.com/articles/s41597-025-05485-9.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.nature.com/articles/s41597-025-05485-9.pdfDirect OA link when available
- Concepts
-
China, Geography, Economics, Natural resource economics, ArchaeologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
2Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2Per-year citation counts (last 5 years)
- References (count)
-
35Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4412046484 |
|---|---|
| doi | https://doi.org/10.1038/s41597-025-05485-9 |
| ids.doi | https://doi.org/10.1038/s41597-025-05485-9 |
| ids.pmid | https://pubmed.ncbi.nlm.nih.gov/40617840 |
| ids.openalex | https://openalex.org/W4412046484 |
| fwci | 10.10508735 |
| mesh[0].qualifier_ui | |
| mesh[0].descriptor_ui | D002681 |
| mesh[0].is_major_topic | False |
| mesh[0].qualifier_name | |
| mesh[0].descriptor_name | China |
| mesh[1].qualifier_ui | |
| mesh[1].descriptor_ui | D004032 |
| mesh[1].is_major_topic | True |
| mesh[1].qualifier_name | |
| mesh[1].descriptor_name | Diet |
| mesh[2].qualifier_ui | |
| mesh[2].descriptor_ui | D006801 |
| mesh[2].is_major_topic | False |
| mesh[2].qualifier_name | |
| mesh[2].descriptor_name | Humans |
| mesh[3].qualifier_ui | |
| mesh[3].descriptor_ui | D005523 |
| mesh[3].is_major_topic | True |
| mesh[3].qualifier_name | |
| mesh[3].descriptor_name | Food Supply |
| mesh[4].qualifier_ui | |
| mesh[4].descriptor_ui | D012959 |
| mesh[4].is_major_topic | False |
| mesh[4].qualifier_name | |
| mesh[4].descriptor_name | Socioeconomic Factors |
| mesh[5].qualifier_ui | |
| mesh[5].descriptor_ui | D005544 |
| mesh[5].is_major_topic | False |
| mesh[5].qualifier_name | |
| mesh[5].descriptor_name | Forecasting |
| mesh[6].qualifier_ui | |
| mesh[6].descriptor_ui | D002681 |
| mesh[6].is_major_topic | False |
| mesh[6].qualifier_name | |
| mesh[6].descriptor_name | China |
| mesh[7].qualifier_ui | |
| mesh[7].descriptor_ui | D004032 |
| mesh[7].is_major_topic | True |
| mesh[7].qualifier_name | |
| mesh[7].descriptor_name | Diet |
| mesh[8].qualifier_ui | |
| mesh[8].descriptor_ui | D006801 |
| mesh[8].is_major_topic | False |
| mesh[8].qualifier_name | |
| mesh[8].descriptor_name | Humans |
| mesh[9].qualifier_ui | |
| mesh[9].descriptor_ui | D005523 |
| mesh[9].is_major_topic | True |
| mesh[9].qualifier_name | |
| mesh[9].descriptor_name | Food Supply |
| mesh[10].qualifier_ui | |
| mesh[10].descriptor_ui | D012959 |
| mesh[10].is_major_topic | False |
| mesh[10].qualifier_name | |
| mesh[10].descriptor_name | Socioeconomic Factors |
| mesh[11].qualifier_ui | |
| mesh[11].descriptor_ui | D005544 |
| mesh[11].is_major_topic | False |
| mesh[11].qualifier_name | |
| mesh[11].descriptor_name | Forecasting |
| mesh[12].qualifier_ui | |
| mesh[12].descriptor_ui | D002681 |
| mesh[12].is_major_topic | False |
| mesh[12].qualifier_name | |
| mesh[12].descriptor_name | China |
| mesh[13].qualifier_ui | |
| mesh[13].descriptor_ui | D004032 |
| mesh[13].is_major_topic | True |
| mesh[13].qualifier_name | |
| mesh[13].descriptor_name | Diet |
| mesh[14].qualifier_ui | |
| mesh[14].descriptor_ui | D006801 |
| mesh[14].is_major_topic | False |
| mesh[14].qualifier_name | |
| mesh[14].descriptor_name | Humans |
| mesh[15].qualifier_ui | |
| mesh[15].descriptor_ui | D005523 |
| mesh[15].is_major_topic | True |
| mesh[15].qualifier_name | |
| mesh[15].descriptor_name | Food Supply |
| mesh[16].qualifier_ui | |
| mesh[16].descriptor_ui | D012959 |
| mesh[16].is_major_topic | False |
| mesh[16].qualifier_name | |
| mesh[16].descriptor_name | Socioeconomic Factors |
| mesh[17].qualifier_ui | |
| mesh[17].descriptor_ui | D005544 |
| mesh[17].is_major_topic | False |
| mesh[17].qualifier_name | |
| mesh[17].descriptor_name | Forecasting |
| type | article |
| title | China’s future food demand forecast based on provincial diets and shared socio-economic pathways |
| biblio.issue | 1 |
| biblio.volume | 12 |
| biblio.last_page | 1152 |
| biblio.first_page | 1152 |
| topics[0].id | https://openalex.org/T11259 |
| topics[0].field.id | https://openalex.org/fields/23 |
| topics[0].field.display_name | Environmental Science |
| topics[0].score | 0.9991999864578247 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2303 |
| topics[0].subfield.display_name | Ecology |
| topics[0].display_name | Agriculture Sustainability and Environmental Impact |
| topics[1].id | https://openalex.org/T10866 |
| topics[1].field.id | https://openalex.org/fields/27 |
| topics[1].field.display_name | Medicine |
| topics[1].score | 0.909600019454956 |
| topics[1].domain.id | https://openalex.org/domains/4 |
| topics[1].domain.display_name | Health Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2739 |
| topics[1].subfield.display_name | Public Health, Environmental and Occupational Health |
| topics[1].display_name | Nutritional Studies and Diet |
| topics[2].id | https://openalex.org/T10435 |
| topics[2].field.id | https://openalex.org/fields/23 |
| topics[2].field.display_name | Environmental Science |
| topics[2].score | 0.9017000198364258 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2305 |
| topics[2].subfield.display_name | Environmental Engineering |
| topics[2].display_name | Environmental Impact and Sustainability |
| is_xpac | False |
| apc_list.value | 1990 |
| apc_list.currency | USD |
| apc_list.value_usd | 1990 |
| apc_paid.value | 1990 |
| apc_paid.currency | USD |
| apc_paid.value_usd | 1990 |
| concepts[0].id | https://openalex.org/C191935318 |
| concepts[0].level | 2 |
| concepts[0].score | 0.8309577703475952 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q148 |
| concepts[0].display_name | China |
| concepts[1].id | https://openalex.org/C205649164 |
| concepts[1].level | 0 |
| concepts[1].score | 0.39073237776756287 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q1071 |
| concepts[1].display_name | Geography |
| concepts[2].id | https://openalex.org/C162324750 |
| concepts[2].level | 0 |
| concepts[2].score | 0.35863709449768066 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q8134 |
| concepts[2].display_name | Economics |
| concepts[3].id | https://openalex.org/C175605778 |
| concepts[3].level | 1 |
| concepts[3].score | 0.3218191862106323 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q3299701 |
| concepts[3].display_name | Natural resource economics |
| concepts[4].id | https://openalex.org/C166957645 |
| concepts[4].level | 1 |
| concepts[4].score | 0.0 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q23498 |
| concepts[4].display_name | Archaeology |
| keywords[0].id | https://openalex.org/keywords/china |
| keywords[0].score | 0.8309577703475952 |
| keywords[0].display_name | China |
| keywords[1].id | https://openalex.org/keywords/geography |
| keywords[1].score | 0.39073237776756287 |
| keywords[1].display_name | Geography |
| keywords[2].id | https://openalex.org/keywords/economics |
| keywords[2].score | 0.35863709449768066 |
| keywords[2].display_name | Economics |
| keywords[3].id | https://openalex.org/keywords/natural-resource-economics |
| keywords[3].score | 0.3218191862106323 |
| keywords[3].display_name | Natural resource economics |
| language | en |
| locations[0].id | doi:10.1038/s41597-025-05485-9 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S2607323502 |
| locations[0].source.issn | 2052-4463 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 2052-4463 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | True |
| locations[0].source.display_name | Scientific Data |
| locations[0].source.host_organization | https://openalex.org/P4310319908 |
| locations[0].source.host_organization_name | Nature Portfolio |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310319908 |
| locations[0].license | cc-by-nc-nd |
| locations[0].pdf_url | https://www.nature.com/articles/s41597-025-05485-9.pdf |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by-nc-nd |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Scientific Data |
| locations[0].landing_page_url | https://doi.org/10.1038/s41597-025-05485-9 |
| locations[1].id | pmid:40617840 |
| locations[1].is_oa | False |
| locations[1].source.id | https://openalex.org/S4306525036 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | PubMed |
| locations[1].source.host_organization | https://openalex.org/I1299303238 |
| locations[1].source.host_organization_name | National Institutes of Health |
| locations[1].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | publishedVersion |
| locations[1].raw_type | |
| locations[1].license_id | |
| locations[1].is_accepted | True |
| locations[1].is_published | True |
| locations[1].raw_source_name | Scientific data |
| locations[1].landing_page_url | https://pubmed.ncbi.nlm.nih.gov/40617840 |
| locations[2].id | pmh:oai:doaj.org/article:c0e126ba71e04986943e3bd38fb368e3 |
| locations[2].is_oa | False |
| locations[2].source.id | https://openalex.org/S4306401280 |
| locations[2].source.issn | |
| locations[2].source.type | repository |
| locations[2].source.is_oa | False |
| locations[2].source.issn_l | |
| locations[2].source.is_core | False |
| locations[2].source.is_in_doaj | False |
| locations[2].source.display_name | DOAJ (DOAJ: Directory of Open Access Journals) |
| locations[2].source.host_organization | |
| locations[2].source.host_organization_name | |
| locations[2].source.host_organization_lineage | |
| locations[2].license | |
| locations[2].pdf_url | |
| locations[2].version | submittedVersion |
| locations[2].raw_type | article |
| locations[2].license_id | |
| locations[2].is_accepted | False |
| locations[2].is_published | False |
| locations[2].raw_source_name | Scientific Data, Vol 12, Iss 1, Pp 1-10 (2025) |
| locations[2].landing_page_url | https://doaj.org/article/c0e126ba71e04986943e3bd38fb368e3 |
| locations[3].id | pmh:oai:europepmc.org:11037457 |
| locations[3].is_oa | True |
| locations[3].source.id | https://openalex.org/S4306400806 |
| locations[3].source.issn | |
| locations[3].source.type | repository |
| locations[3].source.is_oa | False |
| locations[3].source.issn_l | |
| locations[3].source.is_core | False |
| locations[3].source.is_in_doaj | False |
| locations[3].source.display_name | Europe PMC (PubMed Central) |
| locations[3].source.host_organization | https://openalex.org/I1303153112 |
| locations[3].source.host_organization_name | European Bioinformatics Institute |
| locations[3].source.host_organization_lineage | https://openalex.org/I1303153112 |
| locations[3].license | other-oa |
| locations[3].pdf_url | |
| locations[3].version | submittedVersion |
| locations[3].raw_type | Text |
| locations[3].license_id | https://openalex.org/licenses/other-oa |
| locations[3].is_accepted | False |
| locations[3].is_published | False |
| locations[3].raw_source_name | |
| locations[3].landing_page_url | https://www.ncbi.nlm.nih.gov/pmc/articles/12228782 |
| indexed_in | crossref, doaj, pubmed |
| authorships[0].author.id | https://openalex.org/A5105344936 |
| authorships[0].author.orcid | |
| authorships[0].author.display_name | Mulin Chen |
| authorships[0].countries | CN |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I19820366, https://openalex.org/I4210160793 |
| authorships[0].affiliations[0].raw_affiliation_string | Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China. |
| authorships[0].institutions[0].id | https://openalex.org/I19820366 |
| authorships[0].institutions[0].ror | https://ror.org/034t30j35 |
| authorships[0].institutions[0].type | government |
| authorships[0].institutions[0].lineage | https://openalex.org/I19820366 |
| authorships[0].institutions[0].country_code | CN |
| authorships[0].institutions[0].display_name | Chinese Academy of Sciences |
| authorships[0].institutions[1].id | https://openalex.org/I4210160793 |
| authorships[0].institutions[1].ror | https://ror.org/04t1cdb72 |
| authorships[0].institutions[1].type | facility |
| authorships[0].institutions[1].lineage | https://openalex.org/I19820366, https://openalex.org/I4210160793 |
| authorships[0].institutions[1].country_code | CN |
| authorships[0].institutions[1].display_name | Institute of Geographic Sciences and Natural Resources Research |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Mulin Chen |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China. |
| authorships[1].author.id | https://openalex.org/A5009322572 |
| authorships[1].author.orcid | https://orcid.org/0000-0001-9603-6507 |
| authorships[1].author.display_name | Linsheng Yang |
| authorships[1].countries | CN |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I19820366, https://openalex.org/I4210160793 |
| authorships[1].affiliations[0].raw_affiliation_string | Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China. |
| authorships[1].affiliations[1].institution_ids | https://openalex.org/I4210165038 |
| authorships[1].affiliations[1].raw_affiliation_string | College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China. |
| authorships[1].institutions[0].id | https://openalex.org/I19820366 |
| authorships[1].institutions[0].ror | https://ror.org/034t30j35 |
| authorships[1].institutions[0].type | government |
| authorships[1].institutions[0].lineage | https://openalex.org/I19820366 |
| authorships[1].institutions[0].country_code | CN |
| authorships[1].institutions[0].display_name | Chinese Academy of Sciences |
| authorships[1].institutions[1].id | https://openalex.org/I4210160793 |
| authorships[1].institutions[1].ror | https://ror.org/04t1cdb72 |
| authorships[1].institutions[1].type | facility |
| authorships[1].institutions[1].lineage | https://openalex.org/I19820366, https://openalex.org/I4210160793 |
| authorships[1].institutions[1].country_code | CN |
| authorships[1].institutions[1].display_name | Institute of Geographic Sciences and Natural Resources Research |
| authorships[1].institutions[2].id | https://openalex.org/I4210165038 |
| authorships[1].institutions[2].ror | https://ror.org/05qbk4x57 |
| authorships[1].institutions[2].type | education |
| authorships[1].institutions[2].lineage | https://openalex.org/I19820366, https://openalex.org/I4210165038 |
| authorships[1].institutions[2].country_code | CN |
| authorships[1].institutions[2].display_name | University of Chinese Academy of Sciences |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Linsheng Yang |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China., Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China. |
| authorships[2].author.id | https://openalex.org/A5020135358 |
| authorships[2].author.orcid | https://orcid.org/0000-0001-6098-1689 |
| authorships[2].author.display_name | Hairong Li |
| authorships[2].countries | CN |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I19820366, https://openalex.org/I4210160793 |
| authorships[2].affiliations[0].raw_affiliation_string | Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China. [email protected]. |
| authorships[2].affiliations[1].institution_ids | https://openalex.org/I4210165038 |
| authorships[2].affiliations[1].raw_affiliation_string | College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China. [email protected]. |
| authorships[2].institutions[0].id | https://openalex.org/I19820366 |
| authorships[2].institutions[0].ror | https://ror.org/034t30j35 |
| authorships[2].institutions[0].type | government |
| authorships[2].institutions[0].lineage | https://openalex.org/I19820366 |
| authorships[2].institutions[0].country_code | CN |
| authorships[2].institutions[0].display_name | Chinese Academy of Sciences |
| authorships[2].institutions[1].id | https://openalex.org/I4210160793 |
| authorships[2].institutions[1].ror | https://ror.org/04t1cdb72 |
| authorships[2].institutions[1].type | facility |
| authorships[2].institutions[1].lineage | https://openalex.org/I19820366, https://openalex.org/I4210160793 |
| authorships[2].institutions[1].country_code | CN |
| authorships[2].institutions[1].display_name | Institute of Geographic Sciences and Natural Resources Research |
| authorships[2].institutions[2].id | https://openalex.org/I4210165038 |
| authorships[2].institutions[2].ror | https://ror.org/05qbk4x57 |
| authorships[2].institutions[2].type | education |
| authorships[2].institutions[2].lineage | https://openalex.org/I19820366, https://openalex.org/I4210165038 |
| authorships[2].institutions[2].country_code | CN |
| authorships[2].institutions[2].display_name | University of Chinese Academy of Sciences |
| authorships[2].author_position | last |
| authorships[2].raw_author_name | Hairong Li |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China. [email protected]., Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China. [email protected]. |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://www.nature.com/articles/s41597-025-05485-9.pdf |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | China’s future food demand forecast based on provincial diets and shared socio-economic pathways |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T11259 |
| primary_topic.field.id | https://openalex.org/fields/23 |
| primary_topic.field.display_name | Environmental Science |
| primary_topic.score | 0.9991999864578247 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2303 |
| primary_topic.subfield.display_name | Ecology |
| primary_topic.display_name | Agriculture Sustainability and Environmental Impact |
| related_works | https://openalex.org/W2748952813, https://openalex.org/W4391375266, https://openalex.org/W2350270224, https://openalex.org/W2354620178, https://openalex.org/W600967366, https://openalex.org/W4403952488, https://openalex.org/W2383989146, https://openalex.org/W2351486628, https://openalex.org/W2390481881, https://openalex.org/W2791039681 |
| cited_by_count | 2 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 2 |
| locations_count | 4 |
| best_oa_location.id | doi:10.1038/s41597-025-05485-9 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S2607323502 |
| best_oa_location.source.issn | 2052-4463 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 2052-4463 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | Scientific Data |
| best_oa_location.source.host_organization | https://openalex.org/P4310319908 |
| best_oa_location.source.host_organization_name | Nature Portfolio |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310319908 |
| best_oa_location.license | cc-by-nc-nd |
| best_oa_location.pdf_url | https://www.nature.com/articles/s41597-025-05485-9.pdf |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by-nc-nd |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Scientific Data |
| best_oa_location.landing_page_url | https://doi.org/10.1038/s41597-025-05485-9 |
| primary_location.id | doi:10.1038/s41597-025-05485-9 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S2607323502 |
| primary_location.source.issn | 2052-4463 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 2052-4463 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | Scientific Data |
| primary_location.source.host_organization | https://openalex.org/P4310319908 |
| primary_location.source.host_organization_name | Nature Portfolio |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310319908 |
| primary_location.license | cc-by-nc-nd |
| primary_location.pdf_url | https://www.nature.com/articles/s41597-025-05485-9.pdf |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by-nc-nd |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Scientific Data |
| primary_location.landing_page_url | https://doi.org/10.1038/s41597-025-05485-9 |
| publication_date | 2025-07-05 |
| publication_year | 2025 |
| referenced_works | https://openalex.org/W3186111258, https://openalex.org/W4402050813, https://openalex.org/W3207564705, https://openalex.org/W2770693396, https://openalex.org/W3003217331, https://openalex.org/W2019842486, https://openalex.org/W2104439658, https://openalex.org/W4403926364, https://openalex.org/W3171773404, https://openalex.org/W2727214027, https://openalex.org/W2987808068, https://openalex.org/W2171165234, https://openalex.org/W2606286161, https://openalex.org/W1909223586, https://openalex.org/W4376954093, https://openalex.org/W6939704166, https://openalex.org/W2380006980, https://openalex.org/W1987605728, https://openalex.org/W3152887703, https://openalex.org/W2729148364, https://openalex.org/W1992193293, https://openalex.org/W2016329776, https://openalex.org/W2909678677, https://openalex.org/W4327997914, https://openalex.org/W4313367694, https://openalex.org/W2973682675, https://openalex.org/W4200322205, https://openalex.org/W2033601164, https://openalex.org/W1986286171, https://openalex.org/W2096829520, https://openalex.org/W2936614949, https://openalex.org/W2796545050, https://openalex.org/W2401544292, https://openalex.org/W2990647528, https://openalex.org/W4211192948 |
| referenced_works_count | 35 |
| abstract_inverted_index.13 | 98 |
| abstract_inverted_index.at | 144 |
| abstract_inverted_index.be | 65 |
| abstract_inverted_index.in | 5, 20, 49 |
| abstract_inverted_index.on | 1 |
| abstract_inverted_index.to | 16, 40, 64, 76, 124, 129, 159 |
| abstract_inverted_index.The | 59, 91, 137 |
| abstract_inverted_index.age | 34 |
| abstract_inverted_index.and | 8, 29, 37, 46, 71, 87, 116, 134, 147, 162 |
| abstract_inverted_index.for | 97, 153 |
| abstract_inverted_index.has | 14 |
| abstract_inverted_index.raw | 94 |
| abstract_inverted_index.the | 2, 52, 80, 83, 119 |
| abstract_inverted_index.2020 | 123 |
| abstract_inverted_index.Diet | 126 |
| abstract_inverted_index.both | 145 |
| abstract_inverted_index.five | 53 |
| abstract_inverted_index.food | 21, 47, 100, 130, 155 |
| abstract_inverted_index.from | 79 |
| abstract_inverted_index.peer | 89 |
| abstract_inverted_index.size | 10 |
| abstract_inverted_index.this | 23 |
| abstract_inverted_index.vast | 3 |
| abstract_inverted_index.were | 62 |
| abstract_inverted_index.with | 67 |
| abstract_inverted_index.(SSP) | 57 |
| abstract_inverted_index.2100. | 125 |
| abstract_inverted_index.China | 50 |
| abstract_inverted_index.beef, | 110 |
| abstract_inverted_index.dairy | 117 |
| abstract_inverted_index.diets | 61 |
| abstract_inverted_index.eggs, | 115 |
| abstract_inverted_index.grain | 95 |
| abstract_inverted_index.human | 132 |
| abstract_inverted_index.major | 88, 99 |
| abstract_inverted_index.needs | 31, 161 |
| abstract_inverted_index.pork, | 109 |
| abstract_inverted_index.rice, | 102 |
| abstract_inverted_index.study | 24 |
| abstract_inverted_index.which | 13 |
| abstract_inverted_index.China, | 12 |
| abstract_inverted_index.across | 11, 32, 51 |
| abstract_inverted_index.beans, | 108 |
| abstract_inverted_index.covers | 93 |
| abstract_inverted_index.demand | 48, 96, 142 |
| abstract_inverted_index.energy | 30 |
| abstract_inverted_index.future | 42 |
| abstract_inverted_index.level, | 121 |
| abstract_inverted_index.maize, | 104 |
| abstract_inverted_index.proven | 63 |
| abstract_inverted_index.shared | 54 |
| abstract_inverted_index.wheat, | 103 |
| abstract_inverted_index.Chinese | 68, 84 |
| abstract_inverted_index.aquatic | 113 |
| abstract_inverted_index.barley, | 106 |
| abstract_inverted_index.dataset | 92, 139 |
| abstract_inverted_index.demand, | 22 |
| abstract_inverted_index.dietary | 6, 27, 44, 69, 77 |
| abstract_inverted_index.groups, | 35 |
| abstract_inverted_index.health, | 133 |
| abstract_inverted_index.levels, | 149 |
| abstract_inverted_index.mutton, | 111 |
| abstract_inverted_index.pathway | 56 |
| abstract_inverted_index.project | 41 |
| abstract_inverted_index.relates | 128 |
| abstract_inverted_index.spatial | 146 |
| abstract_inverted_index.tubers, | 107 |
| abstract_inverted_index.Building | 0 |
| abstract_inverted_index.Society, | 86 |
| abstract_inverted_index.compared | 75 |
| abstract_inverted_index.detailed | 141 |
| abstract_inverted_index.directly | 127 |
| abstract_inverted_index.genders, | 36 |
| abstract_inverted_index.highland | 105 |
| abstract_inverted_index.insights | 152 |
| abstract_inverted_index.offering | 150 |
| abstract_inverted_index.patterns | 45 |
| abstract_inverted_index.poultry, | 112 |
| abstract_inverted_index.profound | 17 |
| abstract_inverted_index.provides | 140 |
| abstract_inverted_index.regional | 18, 43, 160 |
| abstract_inverted_index.resource | 164 |
| abstract_inverted_index.spanning | 122 |
| abstract_inverted_index.statuses | 39 |
| abstract_inverted_index.studies. | 90 |
| abstract_inverted_index.tailored | 158 |
| abstract_inverted_index.valuable | 151 |
| abstract_inverted_index.Nutrition | 85 |
| abstract_inverted_index.developed | 138 |
| abstract_inverted_index.different | 33 |
| abstract_inverted_index.fulfilled | 72 |
| abstract_inverted_index.practices | 7, 70 |
| abstract_inverted_index.products, | 114 |
| abstract_inverted_index.projected | 60 |
| abstract_inverted_index.security, | 131 |
| abstract_inverted_index.EAT-Lancet | 81 |
| abstract_inverted_index.allocation | 165 |
| abstract_inverted_index.conducting | 154 |
| abstract_inverted_index.consistent | 66 |
| abstract_inverted_index.guidelines | 78 |
| abstract_inverted_index.management | 156 |
| abstract_inverted_index.optimizing | 163 |
| abstract_inverted_index.population | 9 |
| abstract_inverted_index.provincial | 120 |
| abstract_inverted_index.scenarios. | 58 |
| abstract_inverted_index.strategies | 157 |
| abstract_inverted_index.Commission, | 82 |
| abstract_inverted_index.contributed | 15 |
| abstract_inverted_index.disparities | 19 |
| abstract_inverted_index.information | 143 |
| abstract_inverted_index.preferences | 28 |
| abstract_inverted_index.products-at | 118 |
| abstract_inverted_index.residential | 38 |
| abstract_inverted_index.strategies. | 166 |
| abstract_inverted_index.incorporated | 25 |
| abstract_inverted_index.environmental | 135 |
| abstract_inverted_index.food-specific | 148 |
| abstract_inverted_index.heterogeneity | 4 |
| abstract_inverted_index.requirements, | 74 |
| abstract_inverted_index.socio-economic | 55 |
| abstract_inverted_index.sustainability. | 136 |
| abstract_inverted_index.macronutritrient | 73 |
| abstract_inverted_index.provincial-level | 26 |
| abstract_inverted_index.categories-including | 101 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 95 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 3 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/2 |
| sustainable_development_goals[0].score | 0.7400000095367432 |
| sustainable_development_goals[0].display_name | Zero hunger |
| citation_normalized_percentile.value | 0.95117284 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |