cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.j00001.00043
title: A micrograph dataset of late Ordovician carbonate rocks in Northwest Tarim and South China
title: 塔西北与华南地区晚奥陶世碳酸盐岩（含生物碎屑） 显微图像数据集

description: The late Ordovician is a crucial period in the long geological history, during which carbonate rocks deposited recorded the changes of the earth's epigenetic environment, laying the foundation for the study of the extinction events at the end of Ordovician. In this study, we collect and identify the late Ordovician carbonate thin section images by biological polarizing microscope. The study area includes Kelpin of northwest Tarim and Yichang area of South China. The stratigraphic age involved the Sandbian-Katian, and the identification content was fossil fragments， with the sampling interval of 0.5–2 m and 0.2–0.3 m. The datasets can be compared with the data of late Ordovician studies in other regions, in order to provide more details for subsequent studies on the paleoceanographic and paleoenvironmental of the Ordovician. Furthermore, to establish the spatial variation model of carbonate rocks deposited in the late Ordovician.
description: The late Ordovician is a crucial period in the long geological history, during which carbonate rocks deposited recorded the changes of the earth's epigenetic environment, laying the foundation for the study of the extinction events at the end of Ordovician. In this study, we collect and identify the late Ordovician carbonate thin section images by biological polarizing microscope. The study area includes Kelpin of northwest Tarim and Yichang area of South China. The stratigraphic age involved the Sandbian-Katian, and the identification content was fossil fragments， with the sampling interval of 0.5–2 m and 0.2–0.3 m. The datasets can be compared with the data of late Ordovician studies in other regions, in order to provide more details for subsequent studies on the paleoceanographic and paleoenvironmental of the Ordovician. Furthermore, to establish the spatial variation model of carbonate rocks deposited in the late Ordovician.
DOI: 10.57760/sciencedb.j00001.00142
title: Temporal-spatial characteristics of offshore wind energy resource dataset for the 21st Century Maritime Silk Road
title: “21世纪海上丝绸之路”风能资源时空特征数据集

description: In this study, the first temporal-spatial characteristics of offshore wind energy resource dataset for the 21st Century Maritime Silk Road was established. The calculation methods of a series of key parameters of wind energy were presented. Then a series of useful information about wind energy development is extracted from the original big data with large volume and low information density, systematically including the wind power density (WPD), effective wind speed occurrence (EWSO), energy level occurrences, coefficient of variation (Cv), monthly variability index (Mv), seasonal variability index (Sv), total storage, effective storage and technological storage, in hope of providing data support for the related decision maker, researcher and engineer, providing scientific basis for the efficient industrialization of offshore wind energy development, as well as providing a technical way to overcome the power dilemma faced by the construction of the Maritime Silk Road.
description: In this study, the first temporal-spatial characteristics of offshore wind energy resource dataset for the 21st Century Maritime Silk Road was established. The calculation methods of a series of key parameters of wind energy were presented. Then a series of useful information about wind energy development is extracted from the original big data with large volume and low information density, systematically including the wind power density (WPD), effective wind speed occurrence (EWSO), energy level occurrences, coefficient of variation (Cv), monthly variability index (Mv), seasonal variability index (Sv), total storage, effective storage and technological storage, in hope of providing data support for the related decision maker, researcher and engineer, providing scientific basis for the efficient industrialization of offshore wind energy development, as well as providing a technical way to overcome the power dilemma faced by the construction of the Maritime Silk Road.
DOI: 10.57760/sciencedb.j00001.00201
title: Monthly dynamic meteorological dataset of tropical semi- deciduous monsoon rain forest in Jianfengling, Hainan Province (1957–2018)
title: 1957–2018 海南尖峰岭热带半落叶季雨林气象数据月动态数据集

description: Hainan Jianfengling forest ecosystem national field scientific observation and research station (abbreviated as "Jianfengling ecosystem station") is the earliest forest ecosystem type positioning research station in China. Based on the original data of temperature, water vapor pressure, relative humidity, precipitation, evaporation, average wind speed, sunshine and so on collected by the meteorological observation field in the tropical semi deciduous monsoon rain forest area of Jianfengling ecological station, this data set, through data processing, quality control and evaluation, publishes the meteorological data of 62 consecutive months from 1957 to 2018 on a monthly scale, in order to provide reference for tropical climate change under the background of global climate change The research on the dynamic change, response and adaptation of forest ecosystem structure and function, as well as the sustainable management, management and utilization of tropical forest resources and the protection of ecosystem provide the basic support of meteorological data.
description: Hainan Jianfengling forest ecosystem national field scientific observation and research station (abbreviated as "Jianfengling ecosystem station") is the earliest forest ecosystem type positioning research station in China. Based on the original data of temperature, water vapor pressure, relative humidity, precipitation, evaporation, average wind speed, sunshine and so on collected by the meteorological observation field in the tropical semi deciduous monsoon rain forest area of Jianfengling ecological station, this data set, through data processing, quality control and evaluation, publishes the meteorological data of 62 consecutive months from 1957 to 2018 on a monthly scale, in order to provide reference for tropical climate change under the background of global climate change The research on the dynamic change, response and adaptation of forest ecosystem structure and function, as well as the sustainable management, management and utilization of tropical forest resources and the protection of ecosystem provide the basic support of meteorological data.
DOI: 10.57760/sciencedb.j00001.00230
title: A remote sensing derived dataset for agricultural plastic greenhouses in China of 2019
title: 2019年全国农业塑料大棚遥感分类数据集

description: This paper provides a remote sensing derived dataset for agricultural plastic greenhouses in China of 2019, which has spatial resolution of 30 meters. The dataset is based on the Google Earth Engine (GEE) cloud computing platform, where random forest classification model is utilized to classify the Sentinel-2 remote sensing images. Specifically, ground-truth samples are collected through field survey and visual interpretation, and then are randomly divided into training set and test set. Afterwards, feature extraction is performed such as spectral and texture features to construct a multi-dimensional feature space. Finally, the trained random forest model is utilized to classify national-scale remote sensing images through parallel computing to acquire the spatial distribution of China’s agricultural plastic greenhouses. The accuracy evaluation shows that the average classification accuracy is 87.45%, which indicates that the proposed dataset can accurately reflect the spatial distribution of agricultural plastic greenhouses across the whole country of China. In addition, in order to better visualize the national greenhouse distribution data, this paper also calculates the proportion of the greenhouse area in the 5km grid. Above all, this data set is the first publicly released thematic data on the spatial distribution of China’s agricultural plastic greenhouses across the country, which can provide data references for scientific researchers in related fields.
description: This paper provides a remote sensing derived dataset for agricultural plastic greenhouses in China of 2019, which has spatial resolution of 30 meters. The dataset is based on the Google Earth Engine (GEE) cloud computing platform, where random forest classification model is utilized to classify the Sentinel-2 remote sensing images. Specifically, ground-truth samples are collected through field survey and visual interpretation, and then are randomly divided into training set and test set. Afterwards, feature extraction is performed such as spectral and texture features to construct a multi-dimensional feature space. Finally, the trained random forest model is utilized to classify national-scale remote sensing images through parallel computing to acquire the spatial distribution of China’s agricultural plastic greenhouses. The accuracy evaluation shows that the average classification accuracy is 87.45%, which indicates that the proposed dataset can accurately reflect the spatial distribution of agricultural plastic greenhouses across the whole country of China. In addition, in order to better visualize the national greenhouse distribution data, this paper also calculates the proportion of the greenhouse area in the 5km grid. Above all, this data set is the first publicly released thematic data on the spatial distribution of China’s agricultural plastic greenhouses across the country, which can provide data references for scientific researchers in related fields.
DOI: 10.57760/sciencedb.995
title: A dataset of litter recovery amount and standing crop dynamics in middle subtropical Chinese fir forest (2005-2015)
title: 2005–2015年中亚热带杉木人工林凋落物回收量和现存量月动态数据集

description: Chinese fir plantation is one of the most typical community types in mid-subtropical zone. According to the unified specification of Chinese Ecosystem Research Network (CERN). Based on a long-time litter observation in field sampling plots, the dataset integrated monthly litter recovery amount and annual litter standing crop of Chinese fir plantation of central production region in Huitong County, Hunan Province in the period of 2005-2015, which both comprised branch, leaf, flower and fruit, bark, moss and lichen and other things specifically. The setup and data sharing of the database would offer data supports for litter dynamic study of this forest type as well as for litter comparative study among various forest types in the background of global climate change. It can provide data support for us to understand the structure, function and ecological process of Chinese fir plantation ecosystem, reasonably arrange the management strategy of Chinese fir plantation, and promote the development of litter and Chinese fir plantation research.
description: Chinese fir plantation is one of the most typical community types in mid-subtropical zone. According to the unified specification of Chinese Ecosystem Research Network (CERN). Based on a long-time litter observation in field sampling plots, the dataset integrated monthly litter recovery amount and annual litter standing crop of Chinese fir plantation of central production region in Huitong County, Hunan Province in the period of 2005-2015, which both comprised branch, leaf, flower and fruit, bark, moss and lichen and other things specifically. The setup and data sharing of the database would offer data supports for litter dynamic study of this forest type as well as for litter comparative study among various forest types in the background of global climate change. It can provide data support for us to understand the structure, function and ecological process of Chinese fir plantation ecosystem, reasonably arrange the management strategy of Chinese fir plantation, and promote the development of litter and Chinese fir plantation research.
DOI: 10.57760/sciencedb.j00001.00021
title: Micro image data set of carbonate rocks in Feixianguan Formation, northwest margin of upper Yangtze
title: 上扬子西北缘飞仙关组碳酸盐岩显微图像数据集

description: This data set consists of two parts. One is 330 rock samples from four sections, with 1082 polarizing microscope photos. The second is sheet information. Among them, 4 geological sections are 56 rock samples and 260 polarized microscope photos of Feixianguan Formation of huangdidong section (HDD) in Chengkou County, Chongqing; 66 rock samples and 158 polarized microscope photos of Feixianguan Formation of Jiuyuan Town section (DST) in Wanyuan City, Sichuan Province; 91 rock samples and 262 polarized microscope photos of jiaoshutang section (JST) in Tongjiang County, Bazhong City, Sichuan Province There are 117 rock samples in yudongzi section (ydz) of Jiangyou City, Sichuan Province, 402 polarizing microscope photos. Excel table is the basic information and identification data table of rock thin section, with data volume of 53 KB.
description: This data set consists of two parts. One is 330 rock samples from four sections, with 1082 polarizing microscope photos. The second is sheet information. Among them, 4 geological sections are 56 rock samples and 260 polarized microscope photos of Feixianguan Formation of huangdidong section (HDD) in Chengkou County, Chongqing; 66 rock samples and 158 polarized microscope photos of Feixianguan Formation of Jiuyuan Town section (DST) in Wanyuan City, Sichuan Province; 91 rock samples and 262 polarized microscope photos of jiaoshutang section (JST) in Tongjiang County, Bazhong City, Sichuan Province There are 117 rock samples in yudongzi section (ydz) of Jiangyou City, Sichuan Province, 402 polarizing microscope photos. Excel table is the basic information and identification data table of rock thin section, with data volume of 53 KB.
DOI: 10.57760/sciencedb.j00001.00066
title: An observation dataset of carbon and water fluxes at Yuanjiang Dry-hot Valley Ecological Station (2013 – 2015)
title: 2013–2015年元江干热河谷生态站碳水通量观测数据

description: The dataset includes routine meteorological data (air temperature, air relative humidity, vapor pressure, wind speed, wind direction, soil temperature, soil moisture, solar radiation, photosynthetic active radiation, and precipitation, etc.) and carbon and water fluxes (gross ecosystem primary productivity, ecosystem respiration, net ecosystem productivity, latent heat flux, sensible heat flux), forming data products of half hour, day, month, and year scales.
description: The dataset includes routine meteorological data (air temperature, air relative humidity, vapor pressure, wind speed, wind direction, soil temperature, soil moisture, solar radiation, photosynthetic active radiation, and precipitation, etc.) and carbon and water fluxes (gross ecosystem primary productivity, ecosystem respiration, net ecosystem productivity, latent heat flux, sensible heat flux), forming data products of half hour, day, month, and year scales.
DOI: 10.57760/sciencedb.j00001.00133
title: A dataset of soil elements content of desert grassland in southern Tarim Basin, during 2009-2015
title: 2009-2015年塔里木盆地南部荒漠草地土壤元素含量数据集

description: The study area is located between Qinghai Tibet alpine bounded by the Kunlun Mountains and the Taklimakan Desert, with rare vegetation, simple ecosystem structure and poor stability. Since joining in the Chinese Ecosystem Research Network (CERN) in 2005, the Cele National Field Science Observation and Research Station of Desert Grassland Ecosystem of Xinjiang(Cele Station), Chinese Academy of Science, has carried out long-term located monitoring on soil nutrient elements, main physical and chemical properties and heavy metal content in desert ecosystem according to unified monitoring standards. This dataset collected and processed 42 soil indices from different soil lays(0-10cm, 10-20cm, 20-40cm, 40-60cm, 60-80cm and 80-100cm) from 3 desert observation sites and 7 farmland observation sites in Cele Station from 2009 to 2015, such as exchange capacity of soil, total nutrients, total minerals, microelements and heavy metals, available microelements, mechanical composition and soil bulk density, etc. This dataset is aimed to provide basic data for the biogeochemical cycling process of air-water-soil-plant in desert system and theoretical reference for restoration and conservation of desert ecosystem.
description: The study area is located between Qinghai Tibet alpine bounded by the Kunlun Mountains and the Taklimakan Desert, with rare vegetation, simple ecosystem structure and poor stability. Since joining in the Chinese Ecosystem Research Network (CERN) in 2005, the Cele National Field Science Observation and Research Station of Desert Grassland Ecosystem of Xinjiang(Cele Station), Chinese Academy of Science, has carried out long-term located monitoring on soil nutrient elements, main physical and chemical properties and heavy metal content in desert ecosystem according to unified monitoring standards. This dataset collected and processed 42 soil indices from different soil lays(0-10cm, 10-20cm, 20-40cm, 40-60cm, 60-80cm and 80-100cm) from 3 desert observation sites and 7 farmland observation sites in Cele Station from 2009 to 2015, such as exchange capacity of soil, total nutrients, total minerals, microelements and heavy metals, available microelements, mechanical composition and soil bulk density, etc. This dataset is aimed to provide basic data for the biogeochemical cycling process of air-water-soil-plant in desert system and theoretical reference for restoration and conservation of desert ecosystem.
DOI: 10.57760/sciencedb.j00001.00202
title: Gridded hourly precipitation dataset at 1 km resolution over Anhui Province 2008 – 2018
title: 2008–2018年安徽省1 km分辨率降水数据集

description: Anhui province is located at the East Asian Monsoon region, which is a key region for the study on the initiation and development of the monsoon precipitation. The gridded hourly precipitation data at high spatial-temporal resolution is highly needed for the study on the climate change and the meteorological risk easements. On the basis of the hourly precipitation observed from about 2000 regional stations and 81 national stations, taking advantage of the thin plate smoothing spline method, the best model parameters are chosen firstly by comparing the accuracy of different model parameters. Hereafter, the Gridded hourly precipitation dataset at 1 km resolution over Anhui Province 2008 – 2018 are established using the best model parameters. This dataset can fully grasp the seasonal and spatial variations of precipitation over Anhui province, which can be used in the numerical model analysis and risk assement of floods in the future.
description: Anhui province is located at the East Asian Monsoon region, which is a key region for the study on the initiation and development of the monsoon precipitation. The gridded hourly precipitation data at high spatial-temporal resolution is highly needed for the study on the climate change and the meteorological risk easements. On the basis of the hourly precipitation observed from about 2000 regional stations and 81 national stations, taking advantage of the thin plate smoothing spline method, the best model parameters are chosen firstly by comparing the accuracy of different model parameters. Hereafter, the Gridded hourly precipitation dataset at 1 km resolution over Anhui Province 2008 – 2018 are established using the best model parameters. This dataset can fully grasp the seasonal and spatial variations of precipitation over Anhui province, which can be used in the numerical model analysis and risk assement of floods in the future.
DOI: 10.57760/sciencedb.j00001.00213
title: A dataset for Chinese-English Terminology of Chinese Medicine
title: 中英对照中医药术语数据集

description: Abstract: The dataset is based on an integration of the English terminology of Chinese medicine (internal draft) developed by the people's Health Publishing House (PMPH), the WHO International Standard Terminologies on Traditional Medicine in the Western Pacific Region formulated by the World Health Organization (WHO) and the International Standard Chinese-English Basic Nomenclature of Chinese Medicine formulated by the World Federation of Chinese Medicine Associations (WFCMS), which aims to promote the standardization of Chinese Medicine terms and international communication of TCM. Through Python pandas package and OCR technology, the dataset is cleaned, sorted and merged. Finally, it is divided into 56 categories. A total of 16189 records are sorted out and merged to 8975 terms. The dataset promotes the standardization of TCM terms, facilitates academic communications and inheritance and development of TCM, and is convenient for informatization construction of TCM.
description: Abstract: The dataset is based on an integration of the English terminology of Chinese medicine (internal draft) developed by the people's Health Publishing House (PMPH), the WHO International Standard Terminologies on Traditional Medicine in the Western Pacific Region formulated by the World Health Organization (WHO) and the International Standard Chinese-English Basic Nomenclature of Chinese Medicine formulated by the World Federation of Chinese Medicine Associations (WFCMS), which aims to promote the standardization of Chinese Medicine terms and international communication of TCM. Through Python pandas package and OCR technology, the dataset is cleaned, sorted and merged. Finally, it is divided into 56 categories. A total of 16189 records are sorted out and merged to 8975 terms. The dataset promotes the standardization of TCM terms, facilitates academic communications and inheritance and development of TCM, and is convenient for informatization construction of TCM.
DOI: 10.57760/sciencedb.j00001.00232
title: A dataset of poetry literature landscape of Chinese eminence mountains from pre-Qin dynasty to Tang and Song Dynasties
title: 先秦至唐宋中国名山类诗词文学景观数据集

description: The data set includes three Excel data sheets, namely, famous mountain table, poetry table and poet table. The famous mountain list includes fields such as famous mountain number, famous mountain type, social characteristics, famous mountain name and province; The poetry table includes fields such as poetry number, poetry name, author, Dynasty and creation time; The poet list includes the poet's number, name, alias, time of birth and time of death.
description: The data set includes three Excel data sheets, namely, famous mountain table, poetry table and poet table. The famous mountain list includes fields such as famous mountain number, famous mountain type, social characteristics, famous mountain name and province; The poetry table includes fields such as poetry number, poetry name, author, Dynasty and creation time; The poet list includes the poet's number, name, alias, time of birth and time of death.