cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.538
title: Land-Use Data Set Based on “Gaofen-1 Satellite” Data
title: 基于“高分1号卫星”数据的土地利用数据集

description: "Gaofen-1 satellite" is the first earth observation system with high resolution, launched in April 2013. Its data is mainly used now in the fields of land, agriculture and environment. "Gaofeng-1" has three different resolutions such as 2 meters of panchromatic data, 8 meters and 16 meters of spectral data, combining. The Institute of agricultural resources and regionalization, Chinese academy of agricultural sciences, as the main application unit of the agricultural sector, can obtain relevant data for free and in real time. After the atmospheric and radiation correction, geometric correctionand projection transformation, and on the basis of "status of land use classification standard (GB - T21010-2015)" issued by the ministry of land and resources, for all types of land classification and summary statistics can be obtained through image analysis. At present, the land-use classification and extraction of 2016-2017 of 16 provinces have been preliminarily completed, which has formed a land-use map and statistics based on the administrative region. Comparing with the land-use data obtained by the Institute of Geographic Science and Resources, Chinese academy of sciences based on MODIS data, this data has a higher resolution and a characteristic of more up-to-date, and it can provide better service for all kinds of management and research departments.
description: "Gaofen-1 satellite" is the first earth observation system with high resolution, launched in April 2013. Its data is mainly used now in the fields of land, agriculture and environment. "Gaofeng-1" has three different resolutions such as 2 meters of panchromatic data, 8 meters and 16 meters of spectral data, combining. The Institute of agricultural resources and regionalization, Chinese academy of agricultural sciences, as the main application unit of the agricultural sector, can obtain relevant data for free and in real time. After the atmospheric and radiation correction, geometric correctionand projection transformation, and on the basis of "status of land use classification standard (GB - T21010-2015)" issued by the ministry of land and resources, for all types of land classification and summary statistics can be obtained through image analysis. At present, the land-use classification and extraction of 2016-2017 of 16 provinces have been preliminarily completed, which has formed a land-use map and statistics based on the administrative region. Comparing with the land-use data obtained by the Institute of Geographic Science and Resources, Chinese academy of sciences based on MODIS data, this data has a higher resolution and a characteristic of more up-to-date, and it can provide better service for all kinds of management and research departments.
DOI: 10.57760/sciencedb.549
title: A dataset for main feedstuff and its mineral element content of livestock and poultry in China
title: 中国主要畜禽饲料资源及矿物元素含量数据集

description: As China’s feed industry developed rapidly in recent years, However, the feed resources shortage and fecal pollution from livestock farming become more and more severe, and mineral additives are abused without scientific guidance, which severely limit the stable, healthy and sustainable development of feed industry in China. Therefore, it is necessary to establish a feedstuff and mineral element database. In our study, the database was established by investigating the distribution and content of the main livestock and poultry feedstuff resources in China, including fifteen energy feedstuff, 7 kinds of plant protein, 6 kinds of animal protein, eight green forage and four macro mineral elements. The establishment of main feedstuff and mineral database will provide the scientific guidance for the reasonable use of mineral additives and ration formulation.
description: As China’s feed industry developed rapidly in recent years, However, the feed resources shortage and fecal pollution from livestock farming become more and more severe, and mineral additives are abused without scientific guidance, which severely limit the stable, healthy and sustainable development of feed industry in China. Therefore, it is necessary to establish a feedstuff and mineral element database. In our study, the database was established by investigating the distribution and content of the main livestock and poultry feedstuff resources in China, including fifteen energy feedstuff, 7 kinds of plant protein, 6 kinds of animal protein, eight green forage and four macro mineral elements. The establishment of main feedstuff and mineral database will provide the scientific guidance for the reasonable use of mineral additives and ration formulation.
DOI: 10.57760/sciencedb.591
title: A dataset of scientific literature on floods, 1990 – 2017
title: 1990-2017年全球洪涝灾害研究SCI文献数据

description: With an increasing number of scientific achievements published, it is particularly important to conduct literature-based knowledge discovery and data mining. Flood, as one of the most destructive natural disasters, has been the subject of numerous scientific publications. On January 1, 2018, we conducted literature data collection and processing on flood research and categorized the retrieved paper records into Whole SCI Dataset (WS) and High-Citation SCI Dataset (HCS). These data sets can serve as basic data for bibliometric analysis to identify the status of global flood research during 1990 – 2017. Our study shows that while the Chinese Academy of Sciences was the most productive institution during this period, the United States was the most productive country. Besides, our keyword analysis reveals the potential popular issues and future trends of flood research.
description: With an increasing number of scientific achievements published, it is particularly important to conduct literature-based knowledge discovery and data mining. Flood, as one of the most destructive natural disasters, has been the subject of numerous scientific publications. On January 1, 2018, we conducted literature data collection and processing on flood research and categorized the retrieved paper records into Whole SCI Dataset (WS) and High-Citation SCI Dataset (HCS). These data sets can serve as basic data for bibliometric analysis to identify the status of global flood research during 1990 – 2017. Our study shows that while the Chinese Academy of Sciences was the most productive institution during this period, the United States was the most productive country. Besides, our keyword analysis reveals the potential popular issues and future trends of flood research.
DOI: 10.57760/sciencedb.611
title: Traffic data of the Silk Road in the Han dynasty
title: 两汉丝绸之路交通数据集

description: Based on the high-definition satellite images provided by Google Earth, as well as collated historical documents, archaeological achievements and contemporary research, this study tried to identify the accurate location of major traffic nodes of the Desert-Oasis Silk Road in the Han dynasty. Then with the help of geomorphic characteristics, we restored major traffic lines, and built the traffic data set of the Silk Road in the Han dynasty that contains information on traffic nodes and traffic lines. As part of the Silk Road traffic and business dataset, this work is helpful to studies on the changes of the Silk Road route during this particular historical period. It also provides an accurate statistical basis for studies of cultural communications, business contacts, and ethnic migration along the Silk Road in the Han dynasty.
description: Based on the high-definition satellite images provided by Google Earth, as well as collated historical documents, archaeological achievements and contemporary research, this study tried to identify the accurate location of major traffic nodes of the Desert-Oasis Silk Road in the Han dynasty. Then with the help of geomorphic characteristics, we restored major traffic lines, and built the traffic data set of the Silk Road in the Han dynasty that contains information on traffic nodes and traffic lines. As part of the Silk Road traffic and business dataset, this work is helpful to studies on the changes of the Silk Road route during this particular historical period. It also provides an accurate statistical basis for studies of cultural communications, business contacts, and ethnic migration along the Silk Road in the Han dynasty.
DOI: 10.57760/sciencedb.626
title: 2000–2013年黄河源区阿尼玛卿山冰川表面高程变化数据集
title: 2000–2013年黄河源区阿尼玛卿山冰川表面高程变化数据集

description: 本数据集应用2013年10月31日的TanDEM-X/TerraSAR-X双基站合成孔径雷达数据与SRTM (Shuttle Radar Topographical Mission)DEM (Digital elevation Model)进行差分干涉获得了阿尼玛卿山冰川的数字高程模型及近13年冰川表面高程变化数据集，数据集覆盖黄河源区阿尼玛卿山全部冰川，TanDEM数字高程模型的水平方向像素大小10m，高程误差小于2 m，高程变化数据集水平方向像素大小为30m高程精度为3.7 m。考虑到雷达图像的阴影与叠掩现象，高程变化数据集剔除了阴影和叠掩等不可靠区域。该数据集是黄河源区冰川变化及冰川水资源评估的重要基础数据，是后续该区域冰川体积变化研究的基础。
description: 本数据集应用2013年10月31日的TanDEM-X/TerraSAR-X双基站合成孔径雷达数据与SRTM (Shuttle Radar Topographical Mission)DEM (Digital elevation Model)进行差分干涉获得了阿尼玛卿山冰川的数字高程模型及近13年冰川表面高程变化数据集，数据集覆盖黄河源区阿尼玛卿山全部冰川，TanDEM数字高程模型的水平方向像素大小10m，高程误差小于2 m，高程变化数据集水平方向像素大小为30m高程精度为3.7 m。考虑到雷达图像的阴影与叠掩现象，高程变化数据集剔除了阴影和叠掩等不可靠区域。该数据集是黄河源区冰川变化及冰川水资源评估的重要基础数据，是后续该区域冰川体积变化研究的基础。
DOI: 10.6084/m9.figshare.21173728
title: Dimensionality and density effects on mixing in porous media: Experimental data

description: In this study, we performed laboratory flow-through experiments to investigate the effects of system dimensionality and density gradient on mixing in porous media. The experiments were performed in quasi two-dimensional and three-dimensional flow-through chambers. In both setups, two experiments were performed with injected salt concentrations of 4.8 g/l and 20 g/l respectively. The dataset contains： 1. The measured concentrations of sodium chloride at the outlet ports of quasi two-dimensional setup. 2. The measured concentrations of sodium chloride at the outlet ports of fully three-dimensional setup.
DOI: 10.6084/m9.figshare.21173728.v1
title: Dimensionality and density effects on mixing in porous media: Experimental data

description: In this study, we performed laboratory flow-through experiments to investigate the effects of system dimensionality and density gradient on mixing in porous media. The experiments were performed in quasi two-dimensional and three-dimensional flow-through chambers. In both setups, two experiments were performed with injected salt concentrations of 4.8 g/l and 20 g/l respectively. The dataset contains： 1. The measured concentrations of sodium chloride at the outlet ports of quasi two-dimensional setup. 2. The measured concentrations of sodium chloride at the outlet ports of fully three-dimensional setup.
DOI: 10.57760/sciencedb.645
title: A GIS dataset of urban construction land along the Silk Road in the Ming and Qing dynasties
title: 明清时期丝绸之路沿线城市建设用地GIS数据集

description: Urban construction is a main form of human land use activities. It records the history of urban system evolution and reflects changes in the location, size, and form of a city. Historical data of urban construction land along the Silk Road provide data support for studying the evolutionary process of these cities, as well as for restoring longer-term construction land and other urban factors. In this paper, urban land refers to the scope of city-wall enclosure. Through the integration of multi-source data, the urban construction land along the Silk Road was restored, and a GIS dataset of urban construction land along the Silk Road in the Ming and Qing dynasties was established. The dataset allows searches by place name or time period for the changes of construction land in cities from 1368 to 1911.
description: Urban construction is a main form of human land use activities. It records the history of urban system evolution and reflects changes in the location, size, and form of a city. Historical data of urban construction land along the Silk Road provide data support for studying the evolutionary process of these cities, as well as for restoring longer-term construction land and other urban factors. In this paper, urban land refers to the scope of city-wall enclosure. Through the integration of multi-source data, the urban construction land along the Silk Road was restored, and a GIS dataset of urban construction land along the Silk Road in the Ming and Qing dynasties was established. The dataset allows searches by place name or time period for the changes of construction land in cities from 1368 to 1911.
DOI: 10.57760/sciencedb.664
title: A dataset of ≥10℃ accumulated temperature of field stations in Chinese typical ecosystems from 2001 to 2015
title: 中国典型生态系统生态站2001–2015年≥10℃积温数据集

description: Thermal resources provide an important basis for the division of natural areas or belts, and are also an important natural resource for agricultural production. They are usually characterized by temperature and accumulated temperature. The study adopts 10°C as a threshold because this is the threshold temperature for the growth of thermophilic plants, a temperature at which chimonophilous crops grow rapidly and perennial crops accelerate its accumulation of dry matter. Agricultural departments and institutions often use the ≥10℃ accumulated temperature and its corresponding duration to measure the agro-climatic production potential of a region, which importantly guides the introduction and cultivation system reform. Based on the average daily temperature automatically observed by the Chinese Ecosystem Research Network (CERN), we used the 5-day moving average method to build a dataset of ≥10℃ accumulated temperature at field stations of typical Chinese ecosystems from 2001 to 2015. The dataset records the ≥10℃accumulated temperature, effective accumulated temperature and duration at 35 field stations of CERN that covers China’s major ecosystems of, for example, agriculture, forest, grassland, desert, wetland, lake and bay, which is expected to support research on accumulated temperature changes regionally or nationwide.
description: Thermal resources provide an important basis for the division of natural areas or belts, and are also an important natural resource for agricultural production. They are usually characterized by temperature and accumulated temperature. The study adopts 10°C as a threshold because this is the threshold temperature for the growth of thermophilic plants, a temperature at which chimonophilous crops grow rapidly and perennial crops accelerate its accumulation of dry matter. Agricultural departments and institutions often use the ≥10℃ accumulated temperature and its corresponding duration to measure the agro-climatic production potential of a region, which importantly guides the introduction and cultivation system reform. Based on the average daily temperature automatically observed by the Chinese Ecosystem Research Network (CERN), we used the 5-day moving average method to build a dataset of ≥10℃ accumulated temperature at field stations of typical Chinese ecosystems from 2001 to 2015. The dataset records the ≥10℃accumulated temperature, effective accumulated temperature and duration at 35 field stations of CERN that covers China’s major ecosystems of, for example, agriculture, forest, grassland, desert, wetland, lake and bay, which is expected to support research on accumulated temperature changes regionally or nationwide.
DOI: 10.57760/sciencedb.677
title: Landsat data of mangrove forest changes in Hainan Island during 1987–2017
title: 基于1987–2017年Landsat数据的海南岛红树林变化数据集

description: Distributed in the coastal wetlands of tropical and subtropical regions throughout the world, mangrove forests provide important ecological and eco-economical services such as coastal erosion prevention, water purification, nursery habitats for marine fish and shrimp breeding, provision of building materials and medicinal ingredients, and tourist attraction. A dataset of mangrove forests changes from 1987 to 2017 in Hainan Island was developed using Landsat TM/OLI images obtained in 1987, 1993, 1998, 2003, 2007, 2013 and 2017. This dataset was compiled through a support vector machine (SVM) classification method based on ground survey data. It can be used to understand the status and dynamics of mangrove forests, and to support decision-making concerning the restoration, protection and management of mangrove wetland ecosystem. Further, the dataset provides basic data for ecological environment monitoring in Hainan Province.
description: Distributed in the coastal wetlands of tropical and subtropical regions throughout the world, mangrove forests provide important ecological and eco-economical services such as coastal erosion prevention, water purification, nursery habitats for marine fish and shrimp breeding, provision of building materials and medicinal ingredients, and tourist attraction. A dataset of mangrove forests changes from 1987 to 2017 in Hainan Island was developed using Landsat TM/OLI images obtained in 1987, 1993, 1998, 2003, 2007, 2013 and 2017. This dataset was compiled through a support vector machine (SVM) classification method based on ground survey data. It can be used to understand the status and dynamics of mangrove forests, and to support decision-making concerning the restoration, protection and management of mangrove wetland ecosystem. Further, the dataset provides basic data for ecological environment monitoring in Hainan Province.
DOI: 10.57760/sciencedb.691
title: Grass production dataset in central and eastern Mongolia based remote sensing (2006–2015)
title: 2006–2015年蒙古国中东部地区产草量遥感反演数据集

description: Grass production is an important basis for scientific use of grassland resources and management decision-making concerning grass-livestock balance. An accurate timely understanding of the spatio-temporal distribution of grass production and its changes is of great significance for the sustainable development of grassland ecological environment. This dataset used MODIS remote sensing data and meteorological data, in combination with grassland sampling data, to construct a grass production estimation model suitable for high altitude and arid environment in Mongolia. An optimal model was obtained based on an accuracy evaluation of the models, which was used to obtain the spatial and temporal distribution data of grass production in the six provinces of central and eastern Mongolia from 2006 to 2015. The results of data quality evaluation showed that exponential model was more suitable for the estimation of grassland production in this area than linear model or multi-linear model. The exponential model based on MSAVI had the best simulation effect, R2 was 0.72, RMSE was 279.09 kg/hm2, and the simulation accuracy was 78%. This data set is in TIF format with a data volume of 113 MB.
description: Grass production is an important basis for scientific use of grassland resources and management decision-making concerning grass-livestock balance. An accurate timely understanding of the spatio-temporal distribution of grass production and its changes is of great significance for the sustainable development of grassland ecological environment. This dataset used MODIS remote sensing data and meteorological data, in combination with grassland sampling data, to construct a grass production estimation model suitable for high altitude and arid environment in Mongolia. An optimal model was obtained based on an accuracy evaluation of the models, which was used to obtain the spatial and temporal distribution data of grass production in the six provinces of central and eastern Mongolia from 2006 to 2015. The results of data quality evaluation showed that exponential model was more suitable for the estimation of grassland production in this area than linear model or multi-linear model. The exponential model based on MSAVI had the best simulation effect, R2 was 0.72, RMSE was 279.09 kg/hm2, and the simulation accuracy was 78%. This data set is in TIF format with a data volume of 113 MB.
DOI: 10.57760/sciencedb.622
title: Routes GIS Dataset of Tourists along the Silk Road in the Mongol-Yuan Dynasty
title: 蒙元时期丝绸之路旅行家行程GIS数据集

description: During the Mongol-Yuan Dynasty, there were many tourists travelled along the Silk Road, of whom about 15 were recorded in detail and could be restored to their journeys. The journeys of those tourists are of great significance to the study of the route of the Silk Road in the Mongol-Yuan Dynasty and the route chosen in different periods. This paper collects the tourists in the literature, and then draws the routes based on modern research results, ancient and modern maps, Google Earth satellite images and so on. The 15 travelers, from the earliest Yelu Chucai (1218) to the latest Marignolli (1353), have a time span of more than a century. According to the travel time of each tourist, this paper divides 673 locations into 20 groups of travel point data and 64 sections of itinerary route data into 20 groups, thus forming this data set.
description: During the Mongol-Yuan Dynasty, there were many tourists travelled along the Silk Road, of whom about 15 were recorded in detail and could be restored to their journeys. The journeys of those tourists are of great significance to the study of the route of the Silk Road in the Mongol-Yuan Dynasty and the route chosen in different periods. This paper collects the tourists in the literature, and then draws the routes based on modern research results, ancient and modern maps, Google Earth satellite images and so on. The 15 travelers, from the earliest Yelu Chucai (1218) to the latest Marignolli (1353), have a time span of more than a century. According to the travel time of each tourist, this paper divides 673 locations into 20 groups of travel point data and 64 sections of itinerary route data into 20 groups, thus forming this data set.
DOI: 10.57760/sciencedb.631
title: Land use-based human activity intensity along the Yangtze River Economic Belt, China (1970s – 2015)
title: 基于土地利用的长江经济带1970s末至2015年人类活动强度数据集

description: Data of human activity intensity can be used to assess the effects of human activities on biodiversity. Based on China’s land-use/cover datasets and a land-use-based index measuring human disturbance on ecosystem, we developed the dataset of human activity intensity along the Yangtze River Economic Belt (YREB) for seven time periods, namely, late 1970s, late 1980s, 1995, 2000, 2005, 2010, and 2015. The dataset has a resolution of 1 km. An analysis of the spatial correlation between human activity intensity and 1 km population density indicated that the dataset is of good rationality. A validation against the global human footprint dataset indicated that our dataset has a higher precision than the latter. The dataset presented here can help deepen our understanding of the human-nature relationship, and provides statistical references for policymakers with regard to ecological conservation and economic development in YREB.
description: Data of human activity intensity can be used to assess the effects of human activities on biodiversity. Based on China’s land-use/cover datasets and a land-use-based index measuring human disturbance on ecosystem, we developed the dataset of human activity intensity along the Yangtze River Economic Belt (YREB) for seven time periods, namely, late 1970s, late 1980s, 1995, 2000, 2005, 2010, and 2015. The dataset has a resolution of 1 km. An analysis of the spatial correlation between human activity intensity and 1 km population density indicated that the dataset is of good rationality. A validation against the global human footprint dataset indicated that our dataset has a higher precision than the latter. The dataset presented here can help deepen our understanding of the human-nature relationship, and provides statistical references for policymakers with regard to ecological conservation and economic development in YREB.