ArticleScientific data2023
Product, building, and infrastructure material stocks dataset for 337 Chinese cities between 1978 and 2020.
Article in Scientific data, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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
7 citing papers in PubMed.
- Asymmetric intensification of heatwave-ozone compound extremes across China at 1 km resolution from 2000 to 2023.Environmental science and ecotechnology · 2026Article
- China material stocks and flows account for 2019-2023.Scientific data · 2026Article
- Building material stocks and embodied carbon dataset for two urban agglomerations in China from 2000 to 2020.Scientific data · 2025Article
- Weighing the global built environment: High-resolution mapping and quantification of material stocks in buildings.Journal of industrial ecology · 2025Article
- A Comprehensive Accounting of Construction Materials in Belt and Road Initiative Projects.Environmental science & technology · 2024Article
- Gridded material stocks in China based on geographical and geometric configurations of the built-environment.Scientific data · 2023Article
- Product, building, and infrastructure material stocks dataset for 337 Chinese cities between 1978 and 2020.Scientific data · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
Reliable city-level product, building, and infrastructure material stocks data are essential for understanding historical material use patterns, benchmarking material efficiency, and informing future recycling potentials. However, such urban material stocks data are often limited, due primarily to unavailable, inconsistent, or noncontinuous city-level statistics. Here, we provided such an Urban Product, Building, and Infrastructure Material Stocks (UPBIMS) dataset for China, a country that has undergone a remarkable urbanization process in the past decades, by collating different official statistics and applying various gap-filling methods. This dataset contains the stock of 24 materials contained in 10 types of products, buildings, and infrastructure in all 337 prefecture-level cities in China from 1978 to 2020. This quality controlled and unified dataset is the first of its kind with such a full coverage of all prefecture-level Chinese cities and can be used in a variety of applications, for example in urban geography, industrial ecology, circular economy, and climate change mitigation. Every piece of data is tagged with its source and the dataset will be periodically updated.
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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.