查看更多>>摘要：The authors used historical literature and the relationship between the settlement and cropland area to estimate the cropland area for Liao,Jin,Yuan,and Ming dynasties.Then,utilized the cropland gridded allocation method based on settlement relics to reconstruct the dataset of 5′x5′ cropland cover.The results objectively and accurately depicted the fundamental transformation process of land use from half farming and half animal husbandry to animal husbandry in the study area from Liao Dynasty to Ming Dynasty.The dataset included a tabular data and 2 spatial data.The tabular data is the cropland area and number of settlements in Liao,Jin,Yuan,and Ming dynasties,archived in.xlsx data format.The spatial data include:(1)the boundary data of the eastern part of northern China's agro-pastoral ecotone;(2)the 5′x5′ cropland cover data at 4 periods during Liao,Jin,Yuan,and Ming dynasties.The spatial data is archived in.shp data format.The datasets consists of 36 data files with data size of 2.26 MB(Compressed into one single file with 242 KB).
查看更多>>摘要：Qinghai-Tibet Plateau(QTP)plays an important role in global and regional climate and environment changes.The datasets,including vegetation coverage,biological richness index,net primary productivity,soil salinization,soil erosion,water conservation,and air quality,were selected as the indicators for the eco-environmental quality assessment in Qinghai-Tibet Plateau.The original data were preprocessed,including outlier testing,projection conversion,and raster resampling,and all data scores were normalized between 1-100.By weighted summation of each layer,eco-environmental quality index(EQI)for the Qinghai-Tibet Plateau(2000-2020)was obtained.The dataset includes:(1)EQI data in 2000,2010,2020;(2)EQI change data during 2000-2020.The dataset is archived in.tif format with a spatial resolution of 1 km,and consists of four data files with 84 MB(Compressed into one file with 27.6 MB).
查看更多>>摘要：The dataset of the micro-mechanisms of the formation of multi-scale urban innovation networks in the Yangtze River Delta megalopolis from the perspective of proximity(2014)was developed based on questionnaire surveys of 926 corresponding authors who have published papers in Web of Science Core Collection.The dataset covers 25 prefecture level cities in the Yangtze River Delta megalopolis(Shanghai,Jiangsu and Zhejiang).The dataset includes:(1)basic information of respondents working in the Yangtze River Delta megalopolis;(2)the multi-scale paper cooperation data of the Yangtze River Delta megalopolis in 2014;(3)the proportion data of multi-scale paper cooperation based on different relationship types in the Yangtze River Delta megalopolis;(4)the spatial links distance attenuate data of multi-scale paper cooperation based on different relationship types in the Yangtze River Delta megalopolis;(5)the subjective evaluation data of the role of different proximity.The dataset is archived in one Excel(.xlsx)file with 63.2 KB.The analysis paper based on the dataset is coordinated with Acta Geographica Sinica published at Vol.78,No.8,2023.
查看更多>>摘要：Shiyang River Oasis is located in Wuwei,Jinchang and Zhangye in Gansu province,and Alxa League in Inner Mongolia,China.The geolocation of the Shiyang River Oasis is between 37°24'23"N and 39°24'23"N,101°18'45"E and 103°48'43"E.The Shiyang River Oasis consists of 78 oases with a total area of 9,593.75 km²(Albers).The largest oasis covers an area of 6,016.34 km².The main rivers that nourish the oases are Shiyang River,Xida River and Dongda River,and their main stream lengths are 232.59 km,139.72 km and 129.42 km respectively.The geolocation of the mountainous part of the Shiyang River catchment is between 37°09′22″N and 38°14′40″N,101°07′20″E and 103°28′06″E.The area of the mountainous part is 11,074.73 km².The elevation of this part was divided into 9 types.The dataset is consisted of(1)boundary data of the Oasis;(2)river system and lakes;(3)boundary data of the mountainous part of the catchment;(4)mountainous elevation classification data.The dataset is archived in.kmz,.shp and.tif data formats,and consists of 63 data files with data size of 87.6 MB(compressed to 5 files with 28.5 MB).
查看更多>>摘要：Heihe River Oasis is located in Zhangye,Jiuquan and Jiayuguan,Gansu Province,and Alxa League,Inner Mongolia,China.The geo-location of the Heihe River Oasis is between 38°05'01"N and 42°24'59"N,97°51'43"E and 101°34'00"E.The Heihe River Oasis consists of 132 oases with a total area of 16,147.52 km²(Albers).The largest oasis covers an area of 6,725.33 km².The main rivers that nourish the oases are Heihe River and its tributaries,The main stream length of the Heihe River is 876.32 km.The geo-location of the mountainous part of Heihe River catchment is between 37°43′11″N and 39°39′59″N,97°20′34″E and 101°12′38″E.Its area is 16,588.16 km².The elevation of the mountainous catchment was divided into 9 types.The dataset is consisted of(1)boundary data of the oasis;(2)river system and lakes;(3)boundary data of the mountainous part of the catchment;(4)elevation classification data of the mountainous part of the catchment.The dataset is archived in.kmz,.shp and.tif data formats,and consists of 64 data files with data size of 169 MB(compressed to 5 files with 46 MB).
查看更多>>摘要：The Shule River Oasis is located in Dunhuang,Yumen,Guazhou,Jinta and Subei Mongol Autonomous County in Jiuquan,Gansu Province of China.The geo-location of the Shule River Oasis is between 39°27'56"N and 40°24'35"N,94°09'01"E and 98°10'54"E.The Shule River Oasis consists of 73 oases with a total area of 5,713.53 km²(Albers).The largest oasis covers an area of 2,439.29 km².The rivers that nourish the Shule River oasis are mainly Shule River and its tributaries.The main stream of the Shule River is 813.28 km long.The geo-location of the mountainous part of Shule River catchment is between 38°12′50″N and 40°01′47″N,94°41′41″E and 98°59′12″E.The area of the mountainous part is 34,853.30 km².The elevation of this part of the catchment was divided into 9 types.The dataset is consisted of(1)boundary data of the Oasis;(2)river system;(3)boundary data of the mountainous part of the catchment;(4)elevation classification data of the mountainous part of the catchment.The dataset is archived in.kmz,.shp and.tif data formats,and consists of 66 data files with data size of 118 MB(compressed into 5 files with 23.8 MB).
查看更多>>摘要：We utilize Baidu's migration platform data to obtain migration data on day-by-day human mobility between Chinese prefectural-level and above cities in the country between September 22 and October 21,2020.And based on China's Urban Construction Statistical Yearbook and China's Urban Statistical Yearbook to obtain urban population size,regional gross domestic product(GDP)and other related statistical data.The standardized regression coefficients,Lindeman-Merenda Gold(LMG),partial correlation,and other methods were utilized to measure the relative contribution of agglomeration and network effects to economic performance.Then the dataet of the impacts of urban population agglomeration and human mobility on economic performance(September 22 to October 21,2020)was obtained.The dataset includes the following data:(1)urban population size,human mobility between cities and GDP;(2)relative contribution of agglomeration and network effect variables to GDP.The dataset is archived in.xlsx format in one data file.The data size is 30.1 KB.The analys paper based on the dataset was published at the Acta Geographica Sinica,Vol.78,No.8,2023.
查看更多>>摘要：Based on the list of suppliers and their subsidiaries published by Apple Inc.from 2012 to 2021,the authors collected the information related to the countries and cities where they were located,and formed the overall data of the distribution and changes of global value chains of Apple's e-parts.At the same time,Herfindhal index,location entropy and other methods were used to further characterize the degree of distribution concentration,the position of different countries or regions,and the microscopic distribution characteristics of different value chain links,and obtained the dataset of global supplier distribution changes of Apple's e-parts(2012-2021).The dataset mainly includes the following data from 2012 to 2021:(1)Apple's e-parts supplier headquarter data and components classification by value chains;(2)Apple's e-parts supplier subsidiaries address data and components classification by value chains;(3)cumulative distribution of Apple's e-parts suppliers;(4)changes of Herfindahl index in different parts of Apple's e-parts;(5)changes in the comparative advantages of the distribution number of supplier subsidiaries in different countries and regions;(6)micro-distribution changes of global value chains of Apple's e-parts.The dataset is archived in.xlsx format,and consists of three files with data size of 876 KB(Compressed into one file with 805 KB).The analysis paper based on the dataset was published at Geographical Research,Vol.42,No.3,2023.
查看更多>>摘要：The Global Land Surface Water Yield and Its Efficiency Datasets in 0.5°x0.5° Pixels(1981-2022)was developed based on CRU precipitation and GLEAM evapotranspiration remote sensing products,covering global with a spatial resolution of 0.5°x0.5°.Firstly,the original monthly precipitation and evapotranspiration data were synthesized to the annual scale,and the difference between them was calculated to obtain the water yield dataset by pixel.Then divide the water yield data by the annual precipitation to obtain the water yield efficiency data at a year scale.Finally,the regions with significant inter-annual changes in global water yield were estimated using the Mann-Kendall test and the permutation test.The dataset is consisted of raster data and tabular data.The raster data include the following global data from 1981 to 2022:(1)spatial global annual water yield,(2)spatial annual global water yield utilization efficiency,(3)spatial significant changes in global water yield.The tabular data include:(1)inter-annual changes in global land water yield and water yield efficiency from 1981 to 2022,(2)statistics on the number of true and false positive pixels of significant changes in global water yield before and after correction.The dataset is archived in.nc and.xlsx formats,and consists of 4 files with data size of 193 MB(Compressed into one file with 34.3 MB).
查看更多>>摘要：The chemical weathering dataset of the Laohugou Glacier,Qilian Mountains(2018)was developed based on the hydrochemical data in Laohugou Glacier River,Qilian Mountains collected in 2018,integrated with the results of a mixing model.The dataset includes the following data in Laohugou Glacier:(1)location of the water sampling sites;(2)The δ18O and Cl-in the samples;(3)results of hydrograph separation using stable isotopes;(4)ion concentration in the river water;(5)ion concentrations in the sample river water after correction;(6)Na+ normalized concentrations;(7)mass contributions of endmembers to the cations of the Laohugou glacier river,(8)mass contributions of endmembers to SO42-in the Laohugou Glacier River.The dataset is archived in.shp and.xlsx formats,and consists of 7 data files with data size of 20.9 KB(Compressed into one file with 17.2 KB).The paper based on this dataset was published at Acta Geographica Sinica,Vol.78,No.7,2023.
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