Volume 1, Issue 3

Published:Dec. 31, 2016
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
Data Paper top

【Data Paper】Published: Dec. 31, 2016 Volume 1, Issue 3 17478 46

Fundamental Dataset of rare-earths and Sm-Co compounds containing nanoscale effect

Song Xiaoyan, Liu Xuemei, Wang Haibin et al.
Keywords: rare earth; rare earth compound; intrinsic properties; nanoscale effect; data acquisition; data integration

Abstract:Due to their peculiar physical and chemical properties, the rare-earth elements and compounds have very wide applications, including industrial fields such as aeronautics and astronautics, energy r...

【Data Paper】Published: Dec. 31, 2016 Volume 1, Issue 3 933 3

A dataset of conductivity-temperature-depth during scientific investigations over the South China Sea (2009 – 2012)

Xu Chao; Li Sha; Chen Rongyu; He Yunkai; Chen Shaoyong
Keywords: CTD; temperature; salinity; the South China Sea; section

Abstract:In situ water depth, temperature, and salinity are basic elements of sea observation. Conductivity-temperature-depth (CTD) is a self-recording instrument used to measure the depth and vertical chan...

【Data Paper】Published: Dec. 31, 2016 Volume 1, Issue 3 1052 0

A dataset of measured efficiency of tourist industry in China’s coastal regions (1999 – 2012)

Liu Jia; Lu Ju; Liu Ning
Keywords: DEA-Malmquist model; tourist industry’s efficiency; coastal area

Abstract:The Twelfth Five-Year Plan of China proposed to develop the marine economy and coastal tourism, and clearly defined strategic adjustment of the economic structure as the major direction during t...

【Data Paper】Published: Dec. 28, 2016 Volume 1, Issue 3 1760 36

A dataset of ionospheric TEC and scintillation index from the Peking University station (2012)

Li Lingxi; Zhang Donghe; Zou Ziming; Zhong Jia; Hu Xiaoyan; Ji Zhen; Hao Yongqiang
Keywords: ionosphere; GPS; total electron content (TEC); ionosphere GPS-TEC/scintillation monitor; scintillation index

Abstract:Ionospheric TEC and scintillation are important parameters in ionospheric morphology. They have great significance in description of the ionospheric state based on ionospheric TEC and scintillation...

【Data Paper】Published: Dec. 27, 2016 Volume 1, Issue 3 1047 1

The Inner Mongolia and Qinghai-Tibet grassland soil biota dataset

Junpeng Rui; Jiaxing An; Haishan Niu; Xiangzhen Li
Keywords: Soil biota; community composition; spatial and temporal distribution; Inner Mongolia Plateau; Qinghai-Tibet Plateau; grassland

Abstract:The grassland ecosystem is an important part of the terrestrial ecosystem. In China, most grasslands locate in Inner Mongolia and Qinghai-Tibet. As a subset of soil biota database, the Inner Mongol...

【Data Paper】Published: Nov. 23, 2016 Volume 1, Issue 3 979 2

A dataset of land cover for Ganzhou region (1988 – 2014)

Qiu Yubao; Ruan Yongjian; Li Hengkai; Fu Xinru
Keywords: land cover; Ganzhou region; environment; landsat

Abstract:Land cover is a combination of different kinds of cover in the earth’s surface, which is an important parameter to understand and obtain the regional natural resources and environmental changes. Ac...

【Data Paper】Published: Nov. 11, 2016 Volume 1, Issue 3 1567 2

A dataset of image feature for Chinese Papilionidae specimen

Wang Jiangning; Han Yan; Ji Liqiang
Keywords: Papilionidae; specimen image; image feature; pattern recognition

Abstract:A dataset of image feature for Chinese Papilionidae specimen was generated from research of butterfly image recognition. This dataset collects the color, texture and shape features from 390 pre-pro...

【Data Paper】Published: Oct. 10, 2016 Volume 1, Issue 3 3705 1

Dataset of the soil sample archives of China (1989–2013)

Pan Kai; Song Ge; Shi Jianping; Zhou Rui; Xiao Yanli; Feng Chunmei; Wang Changkun; Pan Xianzhang
Keywords: dataset; soil sample; ecological change; data integration

Abstract:Soil samples record the history of soil evolution, and are extremely valuable to scientific research. The Chinese Ecosystem Research Network (CERN) soil sub-center established a dataset of the soil...