cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.924
title: A typhoon dataset of the Yellow Sea and East China Sea from 2010 to 2018
title: 2010–2018年黄海、东海海域台风数据集

description: Typhoon is a destructive meteorological disaster. The observation data of wind speed and direction, air pressure and wave height are important basic data to study the change of typhoon path and intensity. The dataset is based on the long-term processed typhoon observation data from 2010 to 2018 acquired by the buoys of Yellow Sea station & East China Sea Station of the Offshore Marine Observation and Research Network, Chinese Academy of Sciences (Yellow Sea station and East China Sea Station for short). The original data of dataset are processed according to buoy operation and maintenance records and the actual situation. In order to more visually show the variation of the parameters when the typhoon hit, 304 graphics of typhoon observation data are also provided. The dataset mainly provides data support for typhoon basic research, typhoon forecast, typhoon prevention decision and so on.
description: Typhoon is a destructive meteorological disaster. The observation data of wind speed and direction, air pressure and wave height are important basic data to study the change of typhoon path and intensity. The dataset is based on the long-term processed typhoon observation data from 2010 to 2018 acquired by the buoys of Yellow Sea station & East China Sea Station of the Offshore Marine Observation and Research Network, Chinese Academy of Sciences (Yellow Sea station and East China Sea Station for short). The original data of dataset are processed according to buoy operation and maintenance records and the actual situation. In order to more visually show the variation of the parameters when the typhoon hit, 304 graphics of typhoon observation data are also provided. The dataset mainly provides data support for typhoon basic research, typhoon forecast, typhoon prevention decision and so on.
DOI: 10.57760/sciencedb.821
title: A meteorological dataset observed by Hailun Agroecosystem Experimental Station, China Academic of Science
title: 2009–2018年中国科学院海伦农业生态实验站气象数据集

description: Meteorological observation data is the basis of weather forecast early warning, climate prediction and scientific research, which is the original force to promote the development of meteorological science. Hailun Agricultural Ecology Experimental Station, Chinese academy of Sciences, which belonged to China ecosystem research network (CERN) and national long–term positioning research station, represented the farmland ecosystem in the black soil area of the Northeast China. The black soil area in which the Hailun Station located is one of the four black soil areas in the world. However, public report of the meteorological data of Hailun Station was still limited to individual meteorological elements until now, the whole meteorological elements of Hailun Station according to the time series had not been published. The original data was collected by VAISALA automatic observation system of the Hailun Station meteorological observation field. After data processing, quality control and evaluation, 17 tables, 116 KB of 10 year meteorological data from 2009 to 2018 was published. Our aims were to provide basic support for the development of national economy, especially local agricultural production activities.
description: Meteorological observation data is the basis of weather forecast early warning, climate prediction and scientific research, which is the original force to promote the development of meteorological science. Hailun Agricultural Ecology Experimental Station, Chinese academy of Sciences, which belonged to China ecosystem research network (CERN) and national long–term positioning research station, represented the farmland ecosystem in the black soil area of the Northeast China. The black soil area in which the Hailun Station located is one of the four black soil areas in the world. However, public report of the meteorological data of Hailun Station was still limited to individual meteorological elements until now, the whole meteorological elements of Hailun Station according to the time series had not been published. The original data was collected by VAISALA automatic observation system of the Hailun Station meteorological observation field. After data processing, quality control and evaluation, 17 tables, 116 KB of 10 year meteorological data from 2009 to 2018 was published. Our aims were to provide basic support for the development of national economy, especially local agricultural production activities.
DOI: 10.57760/sciencedb.835
title: Impervious layer distribution map of Hainan Island in 2018
title: 2018年海南岛不透水层分布图

description: 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 important indicator in urban environmental research, impervious layers are of great significance to ecological environment changes and urban development. Based on the study on the spectral features of remote sensing imagery, this dataset analyzes the impervious layer extraction method. In combination of the improved Modified Normalized Difference Impervious Surface Index method and the Perpendicular Impervious Index method, and based on the impervious layer extracted by using Matlab, we obtained the impervious layer distribution map of Hainan Island. The dataset reflects the distribution of impervious layers of Hainan Island in 2018 and it can also serve as a research basis for the planning and decision making of the urban development in Hainan Island.
description: 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 important indicator in urban environmental research, impervious layers are of great significance to ecological environment changes and urban development. Based on the study on the spectral features of remote sensing imagery, this dataset analyzes the impervious layer extraction method. In combination of the improved Modified Normalized Difference Impervious Surface Index method and the Perpendicular Impervious Index method, and based on the impervious layer extracted by using Matlab, we obtained the impervious layer distribution map of Hainan Island. The dataset reflects the distribution of impervious layers of Hainan Island in 2018 and it can also serve as a research basis for the planning and decision making of the urban development in Hainan Island.
DOI: 10.57760/sciencedb.863
title: A dataset of aerosol optical depth in southern slope of Shennongjia mountain, 2013–2018
title: 2013-2018神农架地区气溶胶光学厚度数据集

description: This dataset includes description documents and aerosol optical depth data. The aerosol optical depth data were composed of 14 fields, including year, month, monthly mean of aerosol optical depth in 440 nm, monthly standard deviation of aerosol optical depth in 440 nm, monthly mean of aerosol optical depth in 500 nm, monthly standard deviation of aerosol optical depth in 500 nm, monthly mean of aerosol optical depth in 675 nm, monthly standard deviation of aerosol optical depth in 675 nm, monthly mean of aerosol optical depth in 870 nm, monthly standard deviation of aerosol optical depth in 870 nm, monthly mean of aerosol optical depth in 936 nm, monthly standard deviation of aerosol optical depth in 936 nm, monthly mean of Angstrom parameter, and monthly standard deviation of Angstrom parameter.
description: This dataset includes description documents and aerosol optical depth data. The aerosol optical depth data were composed of 14 fields, including year, month, monthly mean of aerosol optical depth in 440 nm, monthly standard deviation of aerosol optical depth in 440 nm, monthly mean of aerosol optical depth in 500 nm, monthly standard deviation of aerosol optical depth in 500 nm, monthly mean of aerosol optical depth in 675 nm, monthly standard deviation of aerosol optical depth in 675 nm, monthly mean of aerosol optical depth in 870 nm, monthly standard deviation of aerosol optical depth in 870 nm, monthly mean of aerosol optical depth in 936 nm, monthly standard deviation of aerosol optical depth in 936 nm, monthly mean of Angstrom parameter, and monthly standard deviation of Angstrom parameter.
DOI: 10.57760/sciencedb.931
title: A dataset of temperature, salinity and depth profile of sea water based on No.6 Buoy of the East China Observation Station during 2014–2015
title: 2014–2015年东海站06号浮标温盐深剖面观测数据集

description: Temperature, salinity and depth are important parameters of the ocean physical properties as well as the basic elements of the ocean hydrological observation. Muti-layered water observation data of temperature, salinity and depth are obtained by Institute of Oceanology of the Chinese Academy of Sciences (IOCAS), using the ocean comprehensive observation buoy system No.6 of East Sea station of an offshore marine observation and research net-work (OMORN), from October, 2014. Self-contained combined sensors are mounted on mooring, by means of self-contained combined sensors mounted on mooring chains, and 412 days of temperature, salinity and depth observational data in four layers are obtained. In order to make better use of these data, we process them with standard data processing methods and quality control system. Also, download service on the internet is provided for the user. These datas provide the support for marine scientific research and for the social development on this area.The dataset is table data. The subsets are recorded as “A dataset of temperature, salinity and depth profile of sea water Based on No.6 Buoy of the East China Observation station in 2014–2015.zip”. The dataset is made up of 48 tables, including eight observation periods and four profiles, named by buoy No ,layer, year, date of effective observation and parameter code.
description: Temperature, salinity and depth are important parameters of the ocean physical properties as well as the basic elements of the ocean hydrological observation. Muti-layered water observation data of temperature, salinity and depth are obtained by Institute of Oceanology of the Chinese Academy of Sciences (IOCAS), using the ocean comprehensive observation buoy system No.6 of East Sea station of an offshore marine observation and research net-work (OMORN), from October, 2014. Self-contained combined sensors are mounted on mooring, by means of self-contained combined sensors mounted on mooring chains, and 412 days of temperature, salinity and depth observational data in four layers are obtained. In order to make better use of these data, we process them with standard data processing methods and quality control system. Also, download service on the internet is provided for the user. These datas provide the support for marine scientific research and for the social development on this area.The dataset is table data. The subsets are recorded as “A dataset of temperature, salinity and depth profile of sea water Based on No.6 Buoy of the East China Observation station in 2014–2015.zip”. The dataset is made up of 48 tables, including eight observation periods and four profiles, named by buoy No ,layer, year, date of effective observation and parameter code.
DOI: 10.57760/sciencedb.937
title: A dataset of Nanjing’s centennial figures
title: 南京百年人物数据集

description: Character data set is an important basis for the study of historical figures in the information age. This data set takes “Nanjing Centennial City History; Volume of People” as the main data source; including the information of 126 Nanjing and guest historical people with great influence in the fields of politics; education; science and technology; literature and art; which contains data items such as the common name; alias; birth and death time; birthplace; experience; and relationship of people. This data set can provide data basis for the research of Nanjing historical figures information query and statistics; figure relationship visualization and analysis; figure life map; etc.; and promote the in-depth mining and utilization of Nanjing history and culture.
description: Character data set is an important basis for the study of historical figures in the information age. This data set takes “Nanjing Centennial City History; Volume of People” as the main data source; including the information of 126 Nanjing and guest historical people with great influence in the fields of politics; education; science and technology; literature and art; which contains data items such as the common name; alias; birth and death time; birthplace; experience; and relationship of people. This data set can provide data basis for the research of Nanjing historical figures information query and statistics; figure relationship visualization and analysis; figure life map; etc.; and promote the in-depth mining and utilization of Nanjing history and culture.
DOI: 10.57760/sciencedb.726
title: Data of creative classroom environment in primary school (Grade 3–6)
title: 小学3–6年级创造性课堂环境数据

description: The study aims to survey the creative classroom environment in primary schools, and to discuss how to cultivate primary school students’ creativity. For this end, we revised the Creative Classroom Environment Scale, and distributed the questionnaires among Grade 3–6 students at a primary school in Langfang, Hebei province in 2018. 1365 valid questionnaires were collected, which could be used in extensive data analyses for theoretical and practical studies about student creativity and creative classroom environment.
description: The study aims to survey the creative classroom environment in primary schools, and to discuss how to cultivate primary school students’ creativity. For this end, we revised the Creative Classroom Environment Scale, and distributed the questionnaires among Grade 3–6 students at a primary school in Langfang, Hebei province in 2018. 1365 valid questionnaires were collected, which could be used in extensive data analyses for theoretical and practical studies about student creativity and creative classroom environment.
DOI: 10.57760/sciencedb.860
title: A dataset of 17 dominant plants phenological observation in Shennongjia (2009–2018)
title: 2009–2018年神农架17种优势植物物候观测数据集

description: The dataset contains artificial phenological observations of 17 species from 2009 to 2018 and consists of a woody plant subset and an herbaceous plant subset. A total of 97 pieces of woody plant subset data records phenological information such as leaf bud breaking phase, leaf unfolding phase, first bloom phase, full flowering phase, fruit or seed ripening phase, leaf turning to autumn color phase and leaf falling phase. A total of 66 pieces of herbaceous plant subset data records phenological information such as germination or turning green phase, flowering phase, fruit or seed ripening phase, seed dispersal phase and autumn wilting phase.
description: The dataset contains artificial phenological observations of 17 species from 2009 to 2018 and consists of a woody plant subset and an herbaceous plant subset. A total of 97 pieces of woody plant subset data records phenological information such as leaf bud breaking phase, leaf unfolding phase, first bloom phase, full flowering phase, fruit or seed ripening phase, leaf turning to autumn color phase and leaf falling phase. A total of 66 pieces of herbaceous plant subset data records phenological information such as germination or turning green phase, flowering phase, fruit or seed ripening phase, seed dispersal phase and autumn wilting phase.
DOI: 10.57760/sciencedb.884
title: A dataset of boundary and length of glaciers in the Altun Mountains in 2016
title: 2016年阿尔金山冰川边界及长度数据集

description: The Altun mountains is located in the northern edge of the Tibet Plateau. It is the boundary of the Tarim Basin and the Qaidam Basin, which is bounded by the Dajinshan pass and the upper reaches of the Qiemo River. Glaciers in the Altun Mountains are subcontinental glaciers and polar continental glaciers. The boundary and length are two vital parameters of one glacier, whose change can directly reflect its advance and retreat, and indirectly characterize the regional climate change. Based on the Landsat OLI images and SRTM DEM, the boundary and glacier length of glaciers in the Altun mountains in 2016 were obtained by means of manual visual interpretation and glacier centerline method. The dataset contains two parts: 1) glacier boundary vector data in the Altun Mountains in 2016; 2) glacier length vector data in the Altun Mountains in 2016. This dataset reflects the boundary and length of glaciers in the Altun Mountains in 2016 and can be used as the basic data of glacier change and regional climate change research.
description: The Altun mountains is located in the northern edge of the Tibet Plateau. It is the boundary of the Tarim Basin and the Qaidam Basin, which is bounded by the Dajinshan pass and the upper reaches of the Qiemo River. Glaciers in the Altun Mountains are subcontinental glaciers and polar continental glaciers. The boundary and length are two vital parameters of one glacier, whose change can directly reflect its advance and retreat, and indirectly characterize the regional climate change. Based on the Landsat OLI images and SRTM DEM, the boundary and glacier length of glaciers in the Altun mountains in 2016 were obtained by means of manual visual interpretation and glacier centerline method. The dataset contains two parts: 1) glacier boundary vector data in the Altun Mountains in 2016; 2) glacier length vector data in the Altun Mountains in 2016. This dataset reflects the boundary and length of glaciers in the Altun Mountains in 2016 and can be used as the basic data of glacier change and regional climate change research.
DOI: 10.57760/sciencedb.885
title: A dataset of outlines of glacial lakes with an area of no less than 0.05 km2 in the Koshi River basin from 1967 to 2014
title: 1967–2014年科西河流域面积≥0.05 km2冰湖轮廓数据集

description: There are many glaciers and glacial lakes in the Koshi River basin. The coverage rate of glaciers reaches 9.78% and the number of glacial lakes is 221. The distribution and change of glacial lakes in this area are the main factors for predicting the disaster of glacial lake outburst floods (GLOFs), and can also reflect the changes of climate and glacial water resources in Alpine frigid areas to a certain extent. The data set includes the glacial lake data of six periods in the Koshi River basin, i.e., 1960s, 1970s, 1980s, 1990s, 2000s and 2010s, which was obtained by visual interpretation using multi-source remote sensing image (Corona, Landsat MSS/TM/ETM+/OLI) and topographic maps during 1960s-2010s. Lying between 85°39'-88°95'E and 26°86'-29°14' N, the study area is composed of several sub basins including Indrawati, Sun Koshi, Tama Koshi, Likhu, Dudh Koshi, Arun and Tamor. The data set includes the vector of glacial lakes with an area above 0.05 km2 in the Koshi River basin. The data set has a long time series, which can be used as the basic data for the assessment of the temporal and spatial changes of glacial lakes and the changes of water volume of glacial lakes in the Koshi River basin. In addition, it can also be used as an important basis for the risk assessment of glacial lake outburst, the changes of water resources, climate change and the response relationship between glacial lakes and glaciers in this region.
description: There are many glaciers and glacial lakes in the Koshi River basin. The coverage rate of glaciers reaches 9.78% and the number of glacial lakes is 221. The distribution and change of glacial lakes in this area are the main factors for predicting the disaster of glacial lake outburst floods (GLOFs), and can also reflect the changes of climate and glacial water resources in Alpine frigid areas to a certain extent. The data set includes the glacial lake data of six periods in the Koshi River basin, i.e., 1960s, 1970s, 1980s, 1990s, 2000s and 2010s, which was obtained by visual interpretation using multi-source remote sensing image (Corona, Landsat MSS/TM/ETM+/OLI) and topographic maps during 1960s-2010s. Lying between 85°39'-88°95'E and 26°86'-29°14' N, the study area is composed of several sub basins including Indrawati, Sun Koshi, Tama Koshi, Likhu, Dudh Koshi, Arun and Tamor. The data set includes the vector of glacial lakes with an area above 0.05 km2 in the Koshi River basin. The data set has a long time series, which can be used as the basic data for the assessment of the temporal and spatial changes of glacial lakes and the changes of water volume of glacial lakes in the Koshi River basin. In addition, it can also be used as an important basis for the risk assessment of glacial lake outburst, the changes of water resources, climate change and the response relationship between glacial lakes and glaciers in this region.
DOI: 10.57760/sciencedb.979
title: The catalogue of county-level seed plants in Northwest Yunnan
title: 滇西北县域种子植物名录数据集

description: Northwest Yunnan locates in the south part Hengduan Mountains, which is one of the global biodiversity hotspot. This region possess rich plant diversity, but plant distribution data (especially county-level) is far from sufficient. In this study, we archived a catalogue of county level seed plants in Northwest Yunnan using latest taxonomic system, through integration of literature (existing floras, books, new species and new records), specimen and public database involve Northwest Yunnan. This dataset consist of checklist of 5,447 seed plants species of the 16 county of Northwest Yunnan, including seven parts of data: order name in Latin, order name in Chinese, family name in Latin, family name in Chinese, scientific name, Chinese name and distribution data of county-level. This dataset has research value and will potentially facilitate conservation of rich seed plants species in Northwest.
description: Northwest Yunnan locates in the south part Hengduan Mountains, which is one of the global biodiversity hotspot. This region possess rich plant diversity, but plant distribution data (especially county-level) is far from sufficient. In this study, we archived a catalogue of county level seed plants in Northwest Yunnan using latest taxonomic system, through integration of literature (existing floras, books, new species and new records), specimen and public database involve Northwest Yunnan. This dataset consist of checklist of 5,447 seed plants species of the 16 county of Northwest Yunnan, including seven parts of data: order name in Latin, order name in Chinese, family name in Latin, family name in Chinese, scientific name, Chinese name and distribution data of county-level. This dataset has research value and will potentially facilitate conservation of rich seed plants species in Northwest.
DOI: 10.57760/sciencedb.977
title: A vegetation coverage dataset of 500 m resolution in Beijing-Tianjin-Hebei Region（2000–2019）
title: 2000–2019年京津冀地区500 m分辨率植被覆盖度数据集

description: In this paper, using the mod13a1 data from 2000 to 2019, using MRT, ERDAS and ArcGIS software, the vegetation coverage data sets of Beijing Tianjin Hebei region in recent 20 years are obtained by band extraction, maximum value synthesis and pixel bisection model. This data set can be used to analyze the spatial-temporal pattern evolution of vegetation coverage in Beijing Tianjin Hebei region, to analyze the correlation between vegetation coverage and impact factors, and to study the changes of ecological environment.
description: In this paper, using the mod13a1 data from 2000 to 2019, using MRT, ERDAS and ArcGIS software, the vegetation coverage data sets of Beijing Tianjin Hebei region in recent 20 years are obtained by band extraction, maximum value synthesis and pixel bisection model. This data set can be used to analyze the spatial-temporal pattern evolution of vegetation coverage in Beijing Tianjin Hebei region, to analyze the correlation between vegetation coverage and impact factors, and to study the changes of ecological environment.