2019
Volume 4, Issue 4

Published:Dec. 31, 2019
Supervised by:Chinese Academy of Sciences
Hosted by:Computer Network Information Center, Chinese Academy of Sciences
Published by:The Editorial Office of China Scientific Data

Table of Contents
Big Scientific Data Project top

【Big Scientific Data Project】Published: Dec. 31, 2019 Volume 4, Issue 4 3652 32

A dataset of vegetation coverage with 500-meter spatial resolution in the Loess Plateau

Cao Xiaoping, Zhang Qinqin, Yang Qinke et al.
Keywords: Loess Plateau;vegetation coverage;NDVI
doi:10.11922/csdata.2019.0015.zh

Abstract:Loess Plateau is located in an ecologically sensitive area of China. The dynamics of vegetation coverage is an imperative indicator of vegetation restoration and ecosystem health. The dataset inclu...

【Big Scientific Data Project】Published: Dec. 31, 2019 Volume 4, Issue 4 15015 433

An image dataset for field crop disease identification

Lei Chen, Yuan Yuan
Keywords: agricultural disease;field crops;disease identification;standard image dataset;training sample
doi:10.11922/csdata.2019.0008.zh

Abstract:According to the report of Food and Agriculture Organization of the United Nations, the annual natural loss rate caused by agricultural pests and diseases reached more than 37%. Identification and ...

【Big Scientific Data Project】Published: Dec. 31, 2019 Volume 4, Issue 4 3603 16

Multi-source datasets for habitat evaluation of rice sheath blight in typical areas of the middle and lower reaches of the Yangtze River

Tian Yangyang, Zhang Jingwen, Zhang Xuexue et al.
Keywords: remote sensing;meteorology;habitat;rice sheath blight
doi:10.11922/csdata.2019.0021.zh

Abstract:Rice is one of the most important grain crops in the world, while rice sheath blight is an vital factor restricting the yield and quality of rice. In recent years, rice pests and diseases occur fre...

【Big Scientific Data Project】Published: Dec. 30, 2019 Volume 4, Issue 4 23 0

A dataset of Mongolian, Tibetan and Uyghur speech segments based on voice activity detection

Wei Xiangfeng, Yuan Yi, Zhang Quan et al.
Keywords: speech segment;voice activity detection;Mongolian;Tibetan;Uyghur;speech data
doi:10.11922/csdata.2019.0024.zh

Abstract:Built upon our previous work “Mongolian, Tibetan, and Uyghur speech data from Chinese minority regions in 2015”, this study adopted a double-threshold Voice Activity Detection method based on short...

【Big Scientific Data Project】Published: Dec. 30, 2019 Volume 4, Issue 4 4642 54

A dataset of vulnerability during 1999–2018

Li Ruike, Liu Yuan, Liao Lei et al.
Keywords: vulnerability;vulnerability dataset;data collection;vulnerability platform
doi:10.11922/csdata.2019.0026.zh

Abstract:Vulnerability is a defect in the design, implementation, or deployment of information systems. Once these defects are exploited or attacked by malicious entities, they will cause damage to the secu...

【Big Scientific Data Project】Published: Dec. 30, 2019 Volume 4, Issue 4 3014 23

A dataset of 1 km-spatial-resolution monthly mean temperature and monthly precipitation in the Loess Plateau from 1901 to 2014

Shui Junfeng, Ren Jingyu, Peng Shouzhang et al.
Keywords: Loess Plateau;temperature;precipitation;Delta spatial downscaling
doi:10.11922/csdata.2019.0017.zh

Abstract:With a spatial resolution of 1 km, this dataset covers a period from January 1901 to December 2014. It was produced by downscaling the global 0.5° climate dataset published by the Climate Research ...

Big Earth Data Science Engineering Project top

【Big Earth Data Science Engineering Project】Published: Dec. 31, 2019 Volume 4, Issue 4 3252 25

Impervious layer distribution map of Hainan Island in 2018

Li Qingwen, Yan Dongmei, Ling Jianmei et al.
Keywords: impervious layer;impervious surface index;Hainan Island
doi:10.11922/csdata.2019.0038.zh

Abstract:With the rapid improvement of the economic level and the substantial increase of the population, the urban ecological environment has changed significantly with an accelerating expansion. As an imp...

【Big Earth Data Science Engineering Project】Published: Dec. 30, 2019 Volume 4, Issue 4 4571 76

A dataset of China’s overseas power projects (2000–2019)

Yu Jiang, Mingquan Wu, Changjun Huang et al.
Keywords: Belt and Road;power project;dataset;web crawler technology
doi:10.11922/csdata.2019.0069.zh

Abstract:Power shortage is one of the serious problems faced by developing countries along the Belt and Road. Since the Belt and Road initiative was put forward, China’s companies have invested and built a ...

【Big Earth Data Science Engineering Project】Published: Dec. 26, 2019 Volume 4, Issue 4 2735 27

A dataset of China’s overseas highway project information from 2006 to 2019

Zhanhai Jia, Mingquan Wu, Zheng Niu
Keywords: Belt and Road;infrastructure;highway;number of starts
doi:10.11922/csdata.2019.0050.zh

Abstract:Since the proposition of the Belt and Road Initiative, China’s overseas highway projects have developed rapidly. As the leading carrier for the construction of other projects, highway construction ...

【Big Earth Data Science Engineering Project】Published: Dec. 26, 2019 Volume 4, Issue 4 126 2

A dataset of China’s overseas railway projects from 2007 to 2019

Xiao Jianhua, Wu Mingquan, Yin Fujie et al.
Keywords: overseas railway projects;Belt and Road;interconnection;railway type;dataset
doi:10.11922/csdata.2019.0065.zh

Abstract:Benefiting from mature technology, China has expanded its global market in railway construction. Particularly since the implementation of the Belt and Road Initiative, an increasing number of railw...

【Big Earth Data Science Engineering Project】Published: Dec. 25, 2019 Volume 4, Issue 4 31 2

A dataset of China’s overseas hydropower station projects from 2002 to 2019

Yin Fujie, Wu Mingquan, Xiao Jianhua et al.
Keywords: Belt and Road;hydropower station project;energy cooperation;hydropower station type
doi:10.11922/csdata.2019.0066.zh

Abstract:Countries involved in the Belt and Road Initiative are known for their abundant water resources. However, restricted by capital and technology, these resources are not fully exploited to resolve lo...

【Big Earth Data Science Engineering Project】Published: Dec. 24, 2019 Volume 4, Issue 4 123 2

Datasets of ocean dynamics in the South China Sea

Chang Yongguo, Zhang Fei, Guo Yonggang et al.
Keywords: South China Sea;ocean dynamics;temperature;velocity;conductivity;ADCP;CTD
doi:10.11922/csdata.2019.0035.zh

Abstract:Completed in September 2016, the Seafloor Observation Network Experimentation System for the South China Sea provides power supplies and channels through which to transmit information from the deep...

【Big Earth Data Science Engineering Project】Published: Dec. 24, 2019 Volume 4, Issue 4 192 2

30-meter global mosaic map of 2018

Yin Ranyu, He Guojin, Wang Guizhou et al.
Keywords: global map;2018;mosaic;color balance;massive data;Landsat
doi:10.11922/csdata.2019.0048.zh

Abstract:Based on massive ortho-rectified Landsat images, the 30 m Global Mosaic Map (One-Map) of 2018 with consistent color is made using several key techniques like semi-automatic data selection, automati...

【Big Earth Data Science Engineering Project】Published: Dec. 24, 2019 Volume 4, Issue 4 2765 16

A dataset of the Aral Sea periphery during 2000 – 2015

Sun Fangdi, Xiong Li
Keywords: Aral Sea;lake periphery;inundation changes
doi:10.11922/csdata.2019.0033.zh

Abstract:Based on an automatic water extraction method and correctness procedure, we obtained the 32 series of Aral Sea coastlines during 2000–2015 were obtained in this research through modification and va...

【Big Earth Data Science Engineering Project】Published: Dec. 23, 2019 Volume 4, Issue 4 307 7

Information dataset of China's overseas industrial parks from 1992 to 2018

Li Humei, Wu Mingquan, Niu Zheng et al.
Keywords: overseas industrial park;the Belt and Road Initiative;industrial type;Asian Infrastructure Investment Bank (AIIB)
doi:10.11922/csdata.2019.0028.zh

Abstract:Since the implementation of China’s Belt and Road Initiative (BRI), overseas industrial parks, an important embodiment of economic and trade cooperation, have become critical platforms for Chinese ...

Data Paper top

【Data Paper】Published: Dec. 28, 2019 Volume 4, Issue 4 12 0

Remote sensing models for fractional vegetation cover estimation over different underlying surfaces in China

Liu Erhua, Zhou Guangsheng, Zhou Li
Keywords: China;underlying surface;vegetation coverage;models
doi:10.11922/csdata.2018.0069.zh

Abstract:Fractional vegetation cover (FVC) is a quantitative indicator to measure surface vegetation cover, which provides basic data for studying ecological environment, water and soil conservation, and cl...

【Data Paper】Published: Nov. 29, 2019 Volume 4, Issue 4 4172 70

Grid data on land cover of Henan Province (2015)

Li Ning, Zhu Jun, Qin Fen
Keywords: Henan Province;land cover;Landsat 8;visual interpretation;2015
doi:10.11922/csdata.2018.0097.zh

Abstract:This study draws sources from 86-scene Landsat 8 OLI satellite images with cloud volume less than 10%, high-temporal resolution GF-1 WFV wide-viewing angle multispectral camera, UAV (unmanned aeria...

Chinese Ecosystem Research Network top

【Chinese Ecosystem Research Network】Published: Dec. 25, 2019 Volume 4, Issue 4 76 2

A dataset of soil moisture content in the typical forest ecosystems of Dinghushan (2002 – 2016)

Liu Peiling, Zhang Qianmei, Liu Xiaodong et al.
Keywords: Dinghushan;soil moisture;neutron probe;long-term observation
doi:10.11922/csdata.2018.0063.zh

Abstract:As a critical carrier of material cycle and energy exchange, soil moisture plays an important role in the hydrological processes, water balancing, nutrient circulation, forest productivity, and eco...

【Chinese Ecosystem Research Network】Published: Dec. 25, 2019 Volume 4, Issue 4 3040 25

Atmospheric nitrogen deposition in a typical agroecosystem of central Sichuan Basin of China (2008–2013)

Gao Meirong, Kuang Fuhong, Zhu Bo
Keywords: atmospheric nitrogen;dry deposition;wet deposition;central Sichuan Basin
doi:10.11922/csdata.2019.0004.zh

Abstract:As a crucial process of the nitrogen (N) biogeochemical cycle, atmospheric Ndeposition brings organic and inorganic nitrogen into the ecosystem in the form of dry and wet (rainfall, gas and particu...

【Chinese Ecosystem Research Network】Published: Dec. 24, 2019 Volume 4, Issue 4 3662 51

A dataset of species composition in a monsoon evergreen broad-leaved forest monitoring plot of Dinghushan Forest Ecosystem Research Station (1992 – 2015)

Zou Shun, Geng Weixin, Qianmei Zhang et al.
Keywords: Dinghushan;monsoon evergreen broad-leaved forest;species composition;abundance;biomass;importance value;long-term observation
doi:10.11922/csdata.2018.0090.zh

Abstract:Plant species composition affects the biogeochemical cycle, productivity, carbon sequestration, biodiversity, and ecosystem services of forest ecosystems. It is an important indicator of the long-t...

Ice, Snow and Environment Over High Asia top

【Ice, Snow and Environment Over High Asia】Published: Oct. 22, 2019 Volume 4, Issue 4 178 3

A dataset of glacier length changes in the Chinese Altay Mountains (1959 – 2016)

Jin Huian, Yao Xiaojun, Zhang Dahong
Keywords: glacier length;glacier centerline;glacier inventory;Altay Mountains
doi:10.11922/csdata.2019.0013.zh

Abstract:Located in the northernmost part of Xinjiang Uygur Autonomous Region, the Altay Mountains host glaciers in China’s highest latitude. Over the past decades, glaciers in this region dramatically rece...