ArticleScientific data2025
Dish-level carbon and nutrition dataset for 4,403 Asian recipes.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
Global dietary transition is becoming imperative as the booming food systems are degrading ecosystems, while malnutrition and diet-related chronic diseases are becoming increasingly prevalent. The choices individuals make about their diets affect their health through nutrition intake and have profound implications for planetary environmental sustainability. Asian cuisines, which are widely consumed within Asia and popular globally, play a pivotal role in this dietary shift. Hence, this study establishes a Pan-Asian culinary dataset comprising 4,403 representative dishes from 48 countries and regions, capturing the region-specific dietary diversity. For each dish, we quantified both environmental and nutritional outcomes. The environmental impact was assessed, encompassing the carbon footprint embodied in food ingredients and seasonings, along with cooking energy consumption, while nutrient composition was characterized through 21 macro- and micronutrients. This dataset provides essential insights at the dish level, thereby making generalized food recommendation guidelines more tangible and applicable to individuals.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.