cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.752
title: Online learning data set for scientists on CASMOOC in 2018
title: 2018年中国科学院继续教育网科研人员在线学习数据集

description: In order to promote scientific and technological innovation and development, the Continuing Education Network of the Chinese Academy of Sciences (CASMOOC) provides online learning services where researchers choose courses independently. This study examines a time period from January 1, 2018 to December 31, 2018, through which 219,472 data entries were accumulated, amounting to a total learning time of 21,282.74 hours. It shows that online learning behavior arrives at its peak at 10am to 12am and 14pm to 18pm while we should not ignore that considerable learning behaviors occur at 18pm to 24pm. There is no significant correlation exists among learning duration, gender and age, and artificial intelligence and big data are on the highest demand. The data set provides a locus for analyzing the tendencies of researchers’ online learning time, content and duration across a variety of professional and technical titles, ages, genders and working years, which lays a precise foundation for online curriculum design of scientific researchers.
description: In order to promote scientific and technological innovation and development, the Continuing Education Network of the Chinese Academy of Sciences (CASMOOC) provides online learning services where researchers choose courses independently. This study examines a time period from January 1, 2018 to December 31, 2018, through which 219,472 data entries were accumulated, amounting to a total learning time of 21,282.74 hours. It shows that online learning behavior arrives at its peak at 10am to 12am and 14pm to 18pm while we should not ignore that considerable learning behaviors occur at 18pm to 24pm. There is no significant correlation exists among learning duration, gender and age, and artificial intelligence and big data are on the highest demand. The data set provides a locus for analyzing the tendencies of researchers’ online learning time, content and duration across a variety of professional and technical titles, ages, genders and working years, which lays a precise foundation for online curriculum design of scientific researchers.
DOI: 10.57760/sciencedb.795
title: Multi-source data set for habitat evaluation of rice sheath blight in typical areas of the middle and lower reaches of the Yangtze river
title: 长江中下游典型地区水稻纹枯病生境评价多源数据集

description: Rice is one of the most important food crops in the world, and rice sheath blight is an important factor restricting the high yield and quality of rice. In recent years, rice pests and diseases occur frequently, causing serious loss of rice yield. Based on landsat-8, sentinel-2 optical remote sensing image data, MODIS surface temperature products, meteorological data of surface meteorological station and rice sheath blight incidence investigation data, this study takes typical areas in the middle and lower reaches of the Yangtze river as research areas. Data sets related to rice sheath blight habitats were formed after sorting and analysis, including rice planting range and tillage type data, rice growth condition data, surface temperature data, meteorological data, etc. It can provide complete and effective data support for large-scale rice disease habitat evaluation and other researches.
description: Rice is one of the most important food crops in the world, and rice sheath blight is an important factor restricting the high yield and quality of rice. In recent years, rice pests and diseases occur frequently, causing serious loss of rice yield. Based on landsat-8, sentinel-2 optical remote sensing image data, MODIS surface temperature products, meteorological data of surface meteorological station and rice sheath blight incidence investigation data, this study takes typical areas in the middle and lower reaches of the Yangtze river as research areas. Data sets related to rice sheath blight habitats were formed after sorting and analysis, including rice planting range and tillage type data, rice growth condition data, surface temperature data, meteorological data, etc. It can provide complete and effective data support for large-scale rice disease habitat evaluation and other researches.
DOI: 10.57760/sciencedb.742
title: 科技工作者培训需求调查数据
title: 科技工作者培训需求调查数据

description: 2014年6月，面向研究所科研人员和科研管理人员开展了培训需求调查，以在线问卷方式进行，共回收问卷数872份，重复样本数据为7条，最终有效数据为865条，包括不同职称科研人员的培训内容需求、培训模式需求以及所需要的培训帮助。
description: 2014年6月，面向研究所科研人员和科研管理人员开展了培训需求调查，以在线问卷方式进行，共回收问卷数872份，重复样本数据为7条，最终有效数据为865条，包括不同职称科研人员的培训内容需求、培训模式需求以及所需要的培训帮助。
DOI: 10.57760/sciencedb.82
title: 羊八井中子–μ子望远镜数据集
title: 羊八井中子–μ子望远镜数据集

description: 羊八井中子–μ子复合望远镜，位于西藏羊八井国际宇宙线观测站，是目前世界海拔最高、角分辨最高的μ子望远镜，可以用来探测来自77个方向、能量350MeV以上的宇宙线计数。本数据集主要存储经过预处理后的中子–μ子望远镜的观测数据，通过网站共享方式向用户提供准实时的快视图和数据。本数据集可以用来开展空间环境监测等方面的研究。
description: 羊八井中子–μ子复合望远镜，位于西藏羊八井国际宇宙线观测站，是目前世界海拔最高、角分辨最高的μ子望远镜，可以用来探测来自77个方向、能量350MeV以上的宇宙线计数。本数据集主要存储经过预处理后的中子–μ子望远镜的观测数据，通过网站共享方式向用户提供准实时的快视图和数据。本数据集可以用来开展空间环境监测等方面的研究。
DOI: 10.57760/sciencedb.86
title: Fundamental Database of Rare earths and Sm-Co Compounds
title: 稀土单质与Sm-Co化合物基础数据库

description: 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 resources, electronics, automobiles, architectures, petrochemical engineering and so on. In the past decade, based on the systematic experiments and repeated experiments, by processes of data accumulation, comparison and evaluation, we have developed the rare-earths database of crystal structures and properties, where for the first time the nanoscale effect on the data was introduced. Further, the database of the Sm-Co compounds has been developed. Both the databases have conventional polycrystalline and nanocrystalline systems for the data search, and the later contains data systems at the room temperature and with the varying temperature. Data of crystal structure, physical properties, magnetic features, mechanical properties, thermodynamic properties, phase stability and phase transformation characteristics, are contained in the database. The database provides the fundamental data for the rare-earth materials, and facilitates the design and development of new type rare-earth materials by serving as the references and quantitative guide. The database relates to 17 rare earth elements, and 9 rare earth compounds, including Crystal structure, physical properties, mechanical properties, magnetic properties, thermodynamic properties and phase stability, phase-change characteristics of 7 major categories of data.
description: 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 resources, electronics, automobiles, architectures, petrochemical engineering and so on. In the past decade, based on the systematic experiments and repeated experiments, by processes of data accumulation, comparison and evaluation, we have developed the rare-earths database of crystal structures and properties, where for the first time the nanoscale effect on the data was introduced. Further, the database of the Sm-Co compounds has been developed. Both the databases have conventional polycrystalline and nanocrystalline systems for the data search, and the later contains data systems at the room temperature and with the varying temperature. Data of crystal structure, physical properties, magnetic features, mechanical properties, thermodynamic properties, phase stability and phase transformation characteristics, are contained in the database. The database provides the fundamental data for the rare-earth materials, and facilitates the design and development of new type rare-earth materials by serving as the references and quantitative guide. The database relates to 17 rare earth elements, and 9 rare earth compounds, including Crystal structure, physical properties, mechanical properties, magnetic properties, thermodynamic properties and phase stability, phase-change characteristics of 7 major categories of data.
DOI: 10.57760/sciencedb.87
title: Scientific data publishing survey
title: 科学数据出版调查

description: This survey started from August to December in 2014 was distributed within thousands of data paper authors mainly from ESSD, ESA, GBIF, ROBERTICS, DRYAD and PANGAEN, especially focusing on 50 questiones with aspects of data publishing motivation, means, model, quality & evaluation and etc. Specifically,we set up the online quesionnaire processing system and informed 1575 authors�� with 1305 successfully received��.147 replied and we got 129 effecive records with data clean. As data publishing survey of 2014, the statistics might cast light on quantitive study of data publishing as well as data sharing.
description: This survey started from August to December in 2014 was distributed within thousands of data paper authors mainly from ESSD, ESA, GBIF, ROBERTICS, DRYAD and PANGAEN, especially focusing on 50 questiones with aspects of data publishing motivation, means, model, quality & evaluation and etc. Specifically,we set up the online quesionnaire processing system and informed 1575 authors�� with 1305 successfully received��.147 replied and we got 129 effecive records with data clean. As data publishing survey of 2014, the statistics might cast light on quantitive study of data publishing as well as data sharing.
DOI: 10.57760/sciencedb.926
title: A dataset of profile observation on three-anchor buoy integrated observation platform of the East China Observation station in 2018–2019
title: 2018–2019年东海站三锚式浮标综合观测平台剖面观测数据集

description: Ocean profile observation is an important link to realize "transparent ocean" observation to the ocean at full scale. The East China Sea Ocean Observation and Research Station developed the three-anchor buoy integrated observation platform with a diameter of 15 meters，which can realize the real-time observation of sea surface meteorology - underwater shallow water quality and hydrology - underwater profile environment. The area (30°27 '32.6 "N, 120°14' 25.22" E) has been continuously observed for 14 months and valuable real-time continuous observation data have been obtained in this area. The dataset collated the profile data. In order to make better use these observation data, we adopt standard data processing methods and quality control system to process and control these profile observation data. It provides a key link for the establishment of a full-scale observation system covering oceanic atmosphere, oceanic surface layer, water profile and seabed, and provides richer and more complete data support for basic research of Marine science and disaster prevention and reduction in China.
description: Ocean profile observation is an important link to realize "transparent ocean" observation to the ocean at full scale. The East China Sea Ocean Observation and Research Station developed the three-anchor buoy integrated observation platform with a diameter of 15 meters，which can realize the real-time observation of sea surface meteorology - underwater shallow water quality and hydrology - underwater profile environment. The area (30°27 '32.6 "N, 120°14' 25.22" E) has been continuously observed for 14 months and valuable real-time continuous observation data have been obtained in this area. The dataset collated the profile data. In order to make better use these observation data, we adopt standard data processing methods and quality control system to process and control these profile observation data. It provides a key link for the establishment of a full-scale observation system covering oceanic atmosphere, oceanic surface layer, water profile and seabed, and provides richer and more complete data support for basic research of Marine science and disaster prevention and reduction in China.
DOI: 10.57760/sciencedb.939
title: Daily fluxes dataset of the typical irrigated agro-ecosystem in the North China Plain: A Case Study of Luancheng Station (2007 – 2013)
title: 2007–2013年华北平原典型灌溉农田生态系统日通量数据集——以栾城站为例

description: Based on micrometeorology; the Eddy Covariance System (EC) has become one of the standard observation methods for the exchange of CO2 and water heat flux between terrestrial ecosystems and the atmosphere. The dataset includes all the fluxes data accumulated in Luancheng Agro-ecosystem Experimental Station of the Chinese Academy of Sciences from the EC System; which spans from October 2007 to September 2013 and covers 6 consecutive crop growth years. And the fluxes consist of evapotranspiration (ET); precipitation (P); net radiation (Rn); sensible heat Flux (Hs) and net ecosystem exchange of CO2 (NEE). The observation object is winter wheat-summer maize rotation cropping system. It can represent the general crop growth system in the North China Plain (NCP). The network observation; quality control and storage process of this dataset strictly abide by ChinaFLUX data management technology system to make sure the reliability. The EC flux data provide important support for the study of crop field water balance and typical cropping system adjustment in the North China Plain; the mechanism of ecosystem carbon-water coupling cycles and crop growth model simulation.
description: Based on micrometeorology; the Eddy Covariance System (EC) has become one of the standard observation methods for the exchange of CO2 and water heat flux between terrestrial ecosystems and the atmosphere. The dataset includes all the fluxes data accumulated in Luancheng Agro-ecosystem Experimental Station of the Chinese Academy of Sciences from the EC System; which spans from October 2007 to September 2013 and covers 6 consecutive crop growth years. And the fluxes consist of evapotranspiration (ET); precipitation (P); net radiation (Rn); sensible heat Flux (Hs) and net ecosystem exchange of CO2 (NEE). The observation object is winter wheat-summer maize rotation cropping system. It can represent the general crop growth system in the North China Plain (NCP). The network observation; quality control and storage process of this dataset strictly abide by ChinaFLUX data management technology system to make sure the reliability. The EC flux data provide important support for the study of crop field water balance and typical cropping system adjustment in the North China Plain; the mechanism of ecosystem carbon-water coupling cycles and crop growth model simulation.
DOI: 10.57760/sciencedb.736
title: Gridded data of township-level population distribution in Shandong Province (2000 & 2010)
title: 山东省街道/乡镇级格网化人口空间分布数据集（2000、2010年）

description: The spatial distribution data of the gridded population is a more fine-scale spatial distribution data of the population, which is of great significance for supporting research on geography, resources, environment, ecology, disasters, and sustainable development. Based urban and rural two-level partition method, this paper used the township-level demographic data of Shandong Province as the control unit and used the spatialization method combining the enhanced vegetation index adjusted nighttime light index and land use data. Finally, the gridded population data SDpop2000 and SDpop2010 of 100 m resolution in Shandong Province was generated. The model accuracy verification results showed that 78.0% and 78.4% of the administrative units in 2000 and 2010 respectively had an absolute relative error of less than 20%. The spatialization results are compared with global WorldPop population data products. The results showed that the correlation coefficient and %RMSE in 2000 are 0.932 and 38.42%, and the correlation coefficient and %RMSE in 2010 are 0.948 and 40.46%.
description: The spatial distribution data of the gridded population is a more fine-scale spatial distribution data of the population, which is of great significance for supporting research on geography, resources, environment, ecology, disasters, and sustainable development. Based urban and rural two-level partition method, this paper used the township-level demographic data of Shandong Province as the control unit and used the spatialization method combining the enhanced vegetation index adjusted nighttime light index and land use data. Finally, the gridded population data SDpop2000 and SDpop2010 of 100 m resolution in Shandong Province was generated. The model accuracy verification results showed that 78.0% and 78.4% of the administrative units in 2000 and 2010 respectively had an absolute relative error of less than 20%. The spatialization results are compared with global WorldPop population data products. The results showed that the correlation coefficient and %RMSE in 2000 are 0.932 and 38.42%, and the correlation coefficient and %RMSE in 2010 are 0.948 and 40.46%.
DOI: 10.57760/sciencedb.775
title: A dataset of glacier in the Gangdisê Mountains in 2016
title: 2016年冈底斯山冰川矢量数据集

description: The Gangdisê Mountains (29°14′-33°42′ N, 78°52′-90°03′ E) extend across the southeastern part of the Tibet Autonomous Region. Starting at Sassel Ridge in the south-eastern part of the Karakorum in the west and ending at the southwest part of the Namco in the east, the Gangdisê Mountains connect to the western part of the Nyainqetanglha Range. The Gangdisê Mountains are roughly parallel to the Himalayas and have a NW-SE trend. The Gangdisê Mountains are one of the most striking tectonic units in the southern margin of the Tibetan Plateau and Eurasia. The glacier types in the Gangdisê Mountains include polar glaciers in the western part and continental glaciers in the eastern part. This Gangdisê Mountains glacier dataset was developed by integrating several data sources: the revised First Chinese Glacier Inventory (FCGI), the Second Chinese Glacier Inventory (SCGI), Landsat OLI images for 2015-2016 and ASTER GDEM. At the same time, the information of glacier coding, name, basin and so on was added. The dataset reflect the glacier distributions in the Gangdisê Mountains from 2015 to 2016, and can be used for research on the glacier and climate changes in the region.
description: The Gangdisê Mountains (29°14′-33°42′ N, 78°52′-90°03′ E) extend across the southeastern part of the Tibet Autonomous Region. Starting at Sassel Ridge in the south-eastern part of the Karakorum in the west and ending at the southwest part of the Namco in the east, the Gangdisê Mountains connect to the western part of the Nyainqetanglha Range. The Gangdisê Mountains are roughly parallel to the Himalayas and have a NW-SE trend. The Gangdisê Mountains are one of the most striking tectonic units in the southern margin of the Tibetan Plateau and Eurasia. The glacier types in the Gangdisê Mountains include polar glaciers in the western part and continental glaciers in the eastern part. This Gangdisê Mountains glacier dataset was developed by integrating several data sources: the revised First Chinese Glacier Inventory (FCGI), the Second Chinese Glacier Inventory (SCGI), Landsat OLI images for 2015-2016 and ASTER GDEM. At the same time, the information of glacier coding, name, basin and so on was added. The dataset reflect the glacier distributions in the Gangdisê Mountains from 2015 to 2016, and can be used for research on the glacier and climate changes in the region.
DOI: 10.57760/sciencedb.8
title: Feature dataset of Chinese papilionidae specimen image
title: 中国凤蝶标本图像特征数据集

description: Feature data set of Chinese papilionidae specimen image is created in the researches of butterfly image recognition. This dataset collects the color, texture and shape features from 390 pre-processed specimen images of Chinese papilionidae by standardized feature extraction methods. Each record contains the classification information, image identifier feature ID and feature value of a image. The dataset could support research on pattern recognition and entomology.
description: Feature data set of Chinese papilionidae specimen image is created in the researches of butterfly image recognition. This dataset collects the color, texture and shape features from 390 pre-processed specimen images of Chinese papilionidae by standardized feature extraction methods. Each record contains the classification information, image identifier feature ID and feature value of a image. The dataset could support research on pattern recognition and entomology.
DOI: 10.57760/sciencedb.833
title: A physical and chemical monitoring dataset of Taihu Lake from 2007 to 2015
title: 2007–2015年太湖水体理化监测数据集

description: This dataset collates the monthly physical and chemical data of eight long-term monitoring stations in Taihu Lake from 2007 to 2015 by TLLER (Taihu Laboratory for Lake Ecosystem Research, Chinese Academy of Sciences), incorporating total of 16 indicators (13,810 values), including transparency, water depth, water temperature, electrical conductivity, suspended solids, dissolved oxygen, pH, silicate, orthophosphate, nitrite nitrogen, nitrate nitrogen, ammonia nitrogen, chemical oxygen demand, total phosphorus, total nitrogen and dissolved total organic carbon. Based on the Box-whisker plot to test the quality of data, the test results show that of the 16 indicators, the proportions of valid data for 10 indicators are over 95%, except for only one indicator whose valid data account for less than 90%. The collation and publication of this dataset can provide a data basis for exploring the characteristics of ecosystem changes in Taihu Lake, and provide scientific support for the prevention and control of eutrophication and the safety of drinking water.
description: This dataset collates the monthly physical and chemical data of eight long-term monitoring stations in Taihu Lake from 2007 to 2015 by TLLER (Taihu Laboratory for Lake Ecosystem Research, Chinese Academy of Sciences), incorporating total of 16 indicators (13,810 values), including transparency, water depth, water temperature, electrical conductivity, suspended solids, dissolved oxygen, pH, silicate, orthophosphate, nitrite nitrogen, nitrate nitrogen, ammonia nitrogen, chemical oxygen demand, total phosphorus, total nitrogen and dissolved total organic carbon. Based on the Box-whisker plot to test the quality of data, the test results show that of the 16 indicators, the proportions of valid data for 10 indicators are over 95%, except for only one indicator whose valid data account for less than 90%. The collation and publication of this dataset can provide a data basis for exploring the characteristics of ecosystem changes in Taihu Lake, and provide scientific support for the prevention and control of eutrophication and the safety of drinking water.
DOI: 10.57760/sciencedb.869
title: A plant species list dataset of Chinese Ecosystem Research Network (CERN)
title: CERN植物物种名录数据集

description: The dataset includes 3,770 species of plants belonging to 1094 genera and 219 families in the forest, grassland, desert and wetland ecosystems of 22 CERN ecological stations from 1998 to 2018. The data consist of the information of ecological station code, plant species name, Latin name, family Chinese name, family name, genus Chinese name, genus name, local synonym and the geological location of ecological stations.
description: The dataset includes 3,770 species of plants belonging to 1094 genera and 219 families in the forest, grassland, desert and wetland ecosystems of 22 CERN ecological stations from 1998 to 2018. The data consist of the information of ecological station code, plant species name, Latin name, family Chinese name, family name, genus Chinese name, genus name, local synonym and the geological location of ecological stations.