In 2020, the average height of males aged between 18 and 44 years in China figured at ***** centimeters, up *** centimeters compared to that in 2015. On the other side, obesity and overweight conditions have seen a gradual increase across the country mainly related to an unhealthy diet and a less active urban lifestyle.

The unprecedented urbanization in China has driven rapid urban and rural development in recent decades. While existing studies have extensively focused on horizontal urban expansion, research on vertical urban expansion patterns in China remains limited. To address this gap, we proposed a Multi-Temporal Building Height estimation network (MTBH-Net) to estimate building heights at a 30 m spatial resolution in China for 2005, 2010, 2015, and 2020 by integrating Global Ecosystem Dynamics Investigation (GEDI), Landsat, and PALSAR data. Specifically, we introduced sample migration to generate reference building height data and utilized the Continuous Change Detection and Classification (CCDC) disturbance feature to ensure consistency in unchanged built-up areas. Validation with GEDI L2A V2 data demonstrated that MTBH-Net achieved RMSEs of 5.38 m, 5.73 m, 6.26 m, and 6.36 m for the respective years. Further validation with field-measured data and GF-7 building height data yielded RMSEs of 9.13 m and 10.99 m, respectively. The proposed 30-m China Multi-Temporal Building Height (CMTBH-30) dataset reveals an increase in average building heights in China from 10.48 m in 2005 to 11.37 m in 2020, reflecting an upward trend in urban development. Additionally, the standard deviation of building heights rose from 3.87 m in 2005 to 6.35 m in 2020, indicating increased height variation nationwide. Regional analysis from 2005 to 2020 shows notable vertical growth on newly expanded impervious surfaces in Macau (+14.9 m), Hong Kong (+13.9 m), and Guangdong (+13.5 m), while Chongqing (+3.6 m), Guizhou (+3.0 m), and Qinghai (+3.0 m) also experienced significant growth on stable impervious surfaces. Minimal growth was observed in Jilin, Heilongjiang, and Xinjiang. CMTBH-30 offers a more refined and accurate depiction of building heights, effectively capturing height variations and mitigating the underestimation of high-rise buildings. It fills the gap in multi-temporal building height estimation. Overall, this study provides a new dime

Building height is a crucial variable in the study of urban environments, regional climates, and human-environment interactions. However, high-resolution data on building height, especially at the national scale, are limited. Fortunately, high spatial-temporal resolution earth observations, harnessed using a cloud-based platform, offer an opportunity to fill this gap. We describe an approach to estimate 2020 building height for China at 10 m spatial resolution based on all-weather earth observations (radar, optical, and night light images) using the Random Forest (RF) model. Results show that our building height simulation has a strong correlation with real observations at the national scale (RMSE of 6.1 m, MAE = 5.2 m, R = 0.77). The Combinational Shadow Index (CSI) is the most important contributor (15.1%) to building height simulation. Analysis of the distribution of building morphology reveals significant differences in building volume and average building height at the city scale across China. Macau has the tallest buildings (22.3 m) among Chinese cities, while Shanghai has the largest building volume (298.4 108 m3). The strong correlation between modelled building volume and socio-economic parameters indicates the potential application of building height products. The building height map developed in this study with a resolution of 10 m is open access, provides insights into the 3D morphological characteristics of cities and serves as an important contribution to future urban studies in China.

Geographic analyses of Japanese children have shown a paradoxical trend: effective daylength – the duration of sunlight above a given illumination threshold – is negatively associated with height and positively with weight adjusted for height. These patterns suggest photoperiodic influences, possibly resembling thyroid hormone effects. To investigate whether similar associations exist in Han Chinese children, we analyzed province-level data from 2019 on average height and weight, using annual mean global solar radiation at each provincial capital as a proxy for effective daylength. We applied the regression model: Height = a₀ + a₁ × Weight − a₂ × Solar Radiation. Under normal physiological conditions, height and weight are typically proportional; thus, support for this model would imply solar radiation is linked to reduced height and increased weight. To assess regional variation, we used geographically weighted regression (GWR), which estimates location-specific coefficients. The results showed spatial heterogeneity: the weight coefficient was greater in western provinces, while the solar radiation coefficient tended to be smaller at higher latitudes. A global regression for provinces north of 30°N revealed statistically significant associations for 9-year-old boys. These findings suggest that the height – daylength and weight – daylength relationships observed in Japan may also exist in northern China, though weaker and more variable.

Thanks to the substantial economic development in the country, obesity is replacing malnutrition and growth delay in becoming a new prominent health issue among China's youth. In December 2020, China's National Health Commission reported that while the average height of youngsters between *** and 17 years old increased between 2015 and 2020, the obesity rate also rose continuously, with almost one in **** children and adolescents aged between *** and 17 years being obese or overweight.

China Steel: Export: Medium & Small Section: I Section: Height <80mm data was reported at 0.597 USD mn in Mar 2025. This records an increase from the previous number of 0.369 USD mn for Feb 2025. China Steel: Export: Medium & Small Section: I Section: Height <80mm data is updated monthly, averaging 0.314 USD mn from Jan 2010 (Median) to Mar 2025, with 183 observations. The data reached an all-time high of 2.949 USD mn in Nov 2023 and a record low of 0.001 USD mn in Mar 2010. China Steel: Export: Medium & Small Section: I Section: Height <80mm data remains active status in CEIC and is reported by General Administration of Customs. The data is categorized under China Premium Database’s Metal and Steel Sector – Table CN.WAG: Steel Export: Monthly.

IntroductionChinese are reported to have a higher percent body fat (%BF) and a higher percent trunk fat (%TF) than whites for a given body mass index (BMI). However, the associations of these ethnic differences in body composition with metabolic risks remain unknown. Methods and ProceduresA total of 1 029 Chinese from Hangzhou, China, and 207 whites from New York, NY, USA, were recruited in the present study. Body composition was measured using dual-energy X-ray absorptiometry (DXA). Analysis of covariance was used to assess the ethnic differences in fat, fat distribution, and metabolic risk factors. ResultsAfter adjusting for BMI, age, and height, Chinese men had an average of 3.9% more %BF and 12.1% more %TF than white men; Chinese women had an average of 2.3% more %BF and 11.8% more %TF than white women. Compared with whites, higher metabolic risks were detected in Chinese for a given BMI after adjusting for age and height. Further adjustment for %BF did not change these ethnic disparities. However, after adjusting for %TF, the ethnic differences decreased and become insignificant in triglyceride, high-density lipoprotein cholesterol, and blood pressure (except for systolic blood pressure in men). For fasting plasma glucose, the ethnic differences persisted after adjustment for %BF, but decreased significantly from 0.910 to 0.686 mmol/L among men, and from 0.629 to 0.355 mmol/L among women, when the analyses were further controlled for %TF. DiscussionChinese have both higher %BF and %TF than white people for a given BMI. However, only %TF could in part account for the higher metabolic risk observed in Chinese men and women.

This dataset provides information about the number of properties, residents, and average property values for Brown Heights Lane cross streets in China Grove, NC.

China Steel: Export: Medium & Small Section: H Section: Height <80mm data was reported at 0.273 USD mn in Mar 2025. This records a decrease from the previous number of 0.940 USD mn for Feb 2025. China Steel: Export: Medium & Small Section: H Section: Height <80mm data is updated monthly, averaging 0.321 USD mn from Jan 2010 (Median) to Mar 2025, with 183 observations. The data reached an all-time high of 2.629 USD mn in Apr 2014 and a record low of 0.000 USD mn in Dec 2012. China Steel: Export: Medium & Small Section: H Section: Height <80mm data remains active status in CEIC and is reported by General Administration of Customs. The data is categorized under China Premium Database’s Metal and Steel Sector – Table CN.WAG: Steel Export: Monthly.

The CNBH10m national product is a China 2020 building height map generated based on high spatiotemporal resolution Earth observation data (including radar, optical, and night light images), with a resolution of 10 meters. It uses a random forest model to estimate building height, and the results have a strong correlation with the actual observed height (RMSE of 6.1 meters, MAE of 5.2 meters, R of 0.77). The main contributing factor of this product is the Combined Shadow Index (CSI), which reveals the differences in building volume and average height among cities in China. CNBH10m is an open access building height dataset that provides strong support for urban research, regional climate analysis, and human environment interaction research, especially in helping to gain a deeper understanding of the three-dimensional morphological characteristics of cities.

China Steel: Export: Medium & Small Section: L Section: Height <80mm data was reported at 30.731 USD mn in Mar 2025. This records an increase from the previous number of 18.122 USD mn for Feb 2025. China Steel: Export: Medium & Small Section: L Section: Height <80mm data is updated monthly, averaging 10.039 USD mn from Jan 2010 (Median) to Mar 2025, with 183 observations. The data reached an all-time high of 50.014 USD mn in Mar 2023 and a record low of 1.292 USD mn in Feb 2020. China Steel: Export: Medium & Small Section: L Section: Height <80mm data remains active status in CEIC and is reported by General Administration of Customs. The data is categorized under China Premium Database’s Metal and Steel Sector – Table CN.WAG: Steel Export: Monthly.

Forest aboveground biomass (AGB) estimation is crucial for carbon cycle studies and climate change mitigation actions. However, because of limitations in timely and reliable forestry surveys and high-resolution remote sensing data, producing a fine resolution and spatial continuous forest AGB map of China is challenging. Here, we combined 4789 ground-truth AGB measurements and multisource remote sensing data such as a recently released forest canopy-height product, optical spectral indexes, topographic data, climatological data, and soil properties to train a random forest regression model for forest AGB estimation of China at 30-m resolution. The accuracy of the estimated AGB can yield R2 = 0.67 and RMSE = 70.71 Mg/ha. The nationwide estimates show that the average forest AGB and total forest carbon storage were 97.57 ± 23.85 Mg/ha and 11.06 Pg C for the year 2019, respectively. The value of AGB uncertainty ranges from 0.68 Mg/ha to 37.80 Mg/ha, and the average AGB uncertainty was 4.32 ± 1.75 Mg/ha. The forest AGB estimates of China in this study correspond reasonably well with the AGB estimates derived from the forestry and grassland statistical yearbook at the provincial level (R2 = 0.61, RMSE = 30.15 Mg/ha). In addition, we found that previous AGB products generally underestimate the forest AGB compared with our estimated AGB at the pixel-level and ground-truth AGB measurements. The high-resolution forest AGB map provides an important alternative data source for forest carbon cycle studies and can be used as a baseline map for forest management and conservation practices.

China Steel: Import: Medium & Small Section: U Section: Height <80mm data was reported at 0.166 Ton th in Mar 2025. This records a decrease from the previous number of 0.174 Ton th for Feb 2025. China Steel: Import: Medium & Small Section: U Section: Height <80mm data is updated monthly, averaging 0.221 Ton th from Jan 2010 (Median) to Mar 2025, with 183 observations. The data reached an all-time high of 0.550 Ton th in Nov 2021 and a record low of 0.015 Ton th in Oct 2023. China Steel: Import: Medium & Small Section: U Section: Height <80mm data remains active status in CEIC and is reported by General Administration of Customs. The data is categorized under China Premium Database’s Metal and Steel Sector – Table CN.WAG: Steel Import: Quantity: Monthly.

aThe value of site index is equal to the average dominant height of actual stand of Chinese fir plantation at the reference age of 20. Dbh means diameter at breast height.

This dataset provides information about the number of properties, residents, and average property values for Corriher Heights Avenue cross streets in China Grove, NC.

This dataset contains detailed information on large old trees from Hainan Island, China, collected for the study "Diversity and abundance of large old trees in Hainan Island: Spatial analysis and environmental correlations." The dataset includes tree location, family, species, estimated age, height (in meters), diameter at breast height (DBH in centimeters), and average crown diameter (in meters). These data were gathered to analyze the spatial distribution and abundance of large old trees and explore their correlations with various environmental factors. The dataset provides a valuable resource for ecological studies focused on tree conservation, biodiversity, and the role of large old trees in tropical ecosystems. Methods This study combined field surveys with government data to analyze LOTs in Hainan. We consulted the "Announcement on the List of Old and Valuable Trees in Hainan Province" issued by The People's Government of Hainan Province. Hereinafter referred to as "the LOT-list", the document provides essential tree data of trees over 300 years old, such as serial number, geographical location, elevation, age, height, diameter at breast height (DBH), and crown size.

China Steel: Import: Medium & Small Section: I Section: Height <80mm data was reported at 0.005 Ton th in Mar 2025. This records an increase from the previous number of 0.005 Ton th for Feb 2025. China Steel: Import: Medium & Small Section: I Section: Height <80mm data is updated monthly, averaging 0.203 Ton th from Jan 2010 (Median) to Mar 2025, with 172 observations. The data reached an all-time high of 1.118 Ton th in Apr 2013 and a record low of 0.000 Ton th in Mar 2017. China Steel: Import: Medium & Small Section: I Section: Height <80mm data remains active status in CEIC and is reported by General Administration of Customs. The data is categorized under China Premium Database’s Metal and Steel Sector – Table CN.WAG: Steel Import: Quantity: Monthly.