cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.1005
title: Dataset of mountain green cover index (SDG15.4.2) over the economic corridors of the Belt and Road Initiative for 2010-2019
title: Dataset of mountain green cover index (SDG15.4.2) over the economic corridors of the Belt and Road Initiative for 2010-2019

description: Mountains ecosystem are undergoing widespread changes under the human activities and climate change. The protect and sustainable development of mountain ecosystems has been listed as the sustainable development goals of the United Nations 2030 Agenda for sustainable development. As one of the indicators, the Mountain Green Cover Index (MGCI) datasets can provide consistent and comparable green vegetation status in support of mapping heterogeneous mountain ecosystems health and monitoring changes over time. The production of explicitly high spatial resolution MGCI datasets is therefore urgently needed due to the importance of improving the data at sub-national and multi-temporal scales. In this datasets, we focused on the economic corridors of Belt and Road Initiative and developed the datasets of MGCI for the region at 500m spatial resolution from 2010 to 2019.
description: Mountains ecosystem are undergoing widespread changes under the human activities and climate change. The protect and sustainable development of mountain ecosystems has been listed as the sustainable development goals of the United Nations 2030 Agenda for sustainable development. As one of the indicators, the Mountain Green Cover Index (MGCI) datasets can provide consistent and comparable green vegetation status in support of mapping heterogeneous mountain ecosystems health and monitoring changes over time. The production of explicitly high spatial resolution MGCI datasets is therefore urgently needed due to the importance of improving the data at sub-national and multi-temporal scales. In this datasets, we focused on the economic corridors of Belt and Road Initiative and developed the datasets of MGCI for the region at 500m spatial resolution from 2010 to 2019.
DOI: 10.57760/sciencedb.01663
title: Read IDs for: orthologous microsatellites, transposable elements, and DNA deletions correlate with generation time and body mass in neoavian birds
title: Read IDs for: orthologous microsatellites, transposable elements, and DNA deletions correlate with generation time and body mass in neoavian birds

description: This dataset consists of gzipped txt files of Illumina sequencing read IDs produced by B10K project Phase II, which are reused in the study "orthologous microsatellites, transposable elements, and DNA deletions correlate with generation time and body mass in neoavian birds". For each species, reads of about 20X coverage were extracted for identification of orthologous microsatellites.
description: This dataset consists of gzipped txt files of Illumina sequencing read IDs produced by B10K project Phase II, which are reused in the study "orthologous microsatellites, transposable elements, and DNA deletions correlate with generation time and body mass in neoavian birds". For each species, reads of about 20X coverage were extracted for identification of orthologous microsatellites.
DOI: 10.57760/sciencedb.01666
title: psychologization
title: psychologization

description: There are two sheets in the Excel file. The one titled "primaryDatase" includes citation information for the HRM articles retrieved from the six niche HRM journals. The other one titled "auxiliaryDataset" includes citation information for the HRM articles retrieved via the keywords-based strategy.
description: There are two sheets in the Excel file. The one titled "primaryDatase" includes citation information for the HRM articles retrieved from the six niche HRM journals. The other one titled "auxiliaryDataset" includes citation information for the HRM articles retrieved via the keywords-based strategy.
DOI: 10.57760/sciencedb.295
title: Huanjiang County of karst eco-station unmanned remote sensing of vegetation index data sets
title: 环江喀斯特生态站无人机遥感植被指数数据集

description: Use small fixed-wing drones and mounted multispectral camera, gets the huanjiang County, stood four normalized difference vegetation index of ecological observation field. After imaging quality control, splicing and projected, data in Geotiff format. Results indicate that unmanned aerial vehicles remote sensing of vegetation data integration as well, data quality and reliability, and can be used for small areas of vegetation cover on analysis of multiscale contrast correction and satellite remote sensing of vegetation products, effectively make up for the ground observation and regular monitoring scale matching problem.
description: Use small fixed-wing drones and mounted multispectral camera, gets the huanjiang County, stood four normalized difference vegetation index of ecological observation field. After imaging quality control, splicing and projected, data in Geotiff format. Results indicate that unmanned aerial vehicles remote sensing of vegetation data integration as well, data quality and reliability, and can be used for small areas of vegetation cover on analysis of multiscale contrast correction and satellite remote sensing of vegetation products, effectively make up for the ground observation and regular monitoring scale matching problem.
DOI: 10.57760/sciencedb.296
title: Soil environment status dataset of China
title: 1995～2011年CERN土壤环境元素含量数据集

description: Soil environment is an essential part of the earth’s environment. Current attention on soil environment problems is focused on the soil pollution. In China, most of polluted soils come from inorganic contaminants. Since 1988, Chinese Ecosystem Research Network (CERN) carried out a long-term located monitoring on soil iron, manganese, copper, zinc, boron, molybdenum, cadmium, chromium, lead, nickel, mercury, arsenic and selenium contents by CERN soil monitor specifications in the main agriculture, forest, grassland, desert and wetland ecosystems of China. Based on the surface soil environment status data monitored from the long-term observation fields of CERN, we obtained the soil environment status dataset of China. The dataset includes 13 soil environmental indicators with 97.7～105.7% accuracy and 3.36～13.15% precision in average. All the soil environmental data have complete background information and show consistency in space and time scales. The dataset is expected to provide data support for national and regional soil environment quality assessment, soil contamination risk assessment and environmental soil science research.
description: Soil environment is an essential part of the earth’s environment. Current attention on soil environment problems is focused on the soil pollution. In China, most of polluted soils come from inorganic contaminants. Since 1988, Chinese Ecosystem Research Network (CERN) carried out a long-term located monitoring on soil iron, manganese, copper, zinc, boron, molybdenum, cadmium, chromium, lead, nickel, mercury, arsenic and selenium contents by CERN soil monitor specifications in the main agriculture, forest, grassland, desert and wetland ecosystems of China. Based on the surface soil environment status data monitored from the long-term observation fields of CERN, we obtained the soil environment status dataset of China. The dataset includes 13 soil environmental indicators with 97.7～105.7% accuracy and 3.36～13.15% precision in average. All the soil environmental data have complete background information and show consistency in space and time scales. The dataset is expected to provide data support for national and regional soil environment quality assessment, soil contamination risk assessment and environmental soil science research.
DOI: 10.57760/sciencedb.35
title: A Dataset of Online Handwritten Tibetan Character
title: 联机手写藏文字符数据集

description: Large handwritten character data set on the design and evaluation of handwriting recognition algorithms and system performance is very important. On-line handwritten Tibetan characters data set includes 150 written data, each write complete 583 Tibetan characters written. 583 Tibetan coded characters from the basic set and expand a selected writer using the electronic pen tablet obtain handwritten Tibetan characters trajectory sequences. Existing recognition algorithm is used to evaluate the data set as an experimental base, and experimental results that achieve high performance face major challenges. The DataSet is expected for on-line handwritten Tibetan input method for Tibetan character recognition algorithm to provide data.
description: Large handwritten character data set on the design and evaluation of handwriting recognition algorithms and system performance is very important. On-line handwritten Tibetan characters data set includes 150 written data, each write complete 583 Tibetan characters written. 583 Tibetan coded characters from the basic set and expand a selected writer using the electronic pen tablet obtain handwritten Tibetan characters trajectory sequences. Existing recognition algorithm is used to evaluate the data set as an experimental base, and experimental results that achieve high performance face major challenges. The DataSet is expected for on-line handwritten Tibetan input method for Tibetan character recognition algorithm to provide data.
DOI: 10.57760/sciencedb.400
title: China's reconstruction of photosynthetically active radiation data collection (1961-2014)
title: 中国光合有效辐射重构数据集（1961-2014）

description: Photosynthetically active radiation (PAR) plays important roles in ecology, agriculture and climatology research. It is a fundamental physiological variable that influence on the vegetation structure and exchange processes of mass and energy. As an important climatic resource, PAR is an indispensable data for calculated the potential photosynthesis, potential yield, crop growth and carbon cycle. In situ measured data from Chinese ecology research network used to develop the estimation model for estimation PAR under all-sky condition. The “hybrid model” was used to calculate historical solar radiation from China Meteorological Administration routine observations. And then combined PAR estimation model that based on clearness index, solar elevation angle and sunshine durations, to obtain the historical daily PAR data at 724 routine stations from 1961 to 2014.
description: Photosynthetically active radiation (PAR) plays important roles in ecology, agriculture and climatology research. It is a fundamental physiological variable that influence on the vegetation structure and exchange processes of mass and energy. As an important climatic resource, PAR is an indispensable data for calculated the potential photosynthesis, potential yield, crop growth and carbon cycle. In situ measured data from Chinese ecology research network used to develop the estimation model for estimation PAR under all-sky condition. The “hybrid model” was used to calculate historical solar radiation from China Meteorological Administration routine observations. And then combined PAR estimation model that based on clearness index, solar elevation angle and sunshine durations, to obtain the historical daily PAR data at 724 routine stations from 1961 to 2014.
DOI: 10.57760/sciencedb.444
title: A Dataset of Climate Extreme Indices on the Tibetan Plateau during 1960-2012
title: 1960-2012年青藏高原极端气候指数数据集

description: 青藏高原作为高海拔生态环境脆弱区域，其气候变化及发展趋势一直是学界的研究热点，极端气候事件分析是其中一项重要的研究内容。本文基于1960-2012年内99个气象观测站的日值气温（日最高气温、日最低气温）和降水观测资料（日降水），经过数据质量控制和异常值剔除，计算得到每年典型的15项极端气温指数和8项极端降水指数，其中包括10项绝对值指数和13项阈值指数(百分比和观测量阈值)。本数据集可以作为青藏高原地区在全球气候变化下极端天气事件发生频率和趋势探测分析的材料，也可以作为基础数据来探索极端天气事件对农牧业生产的影响。
description: 青藏高原作为高海拔生态环境脆弱区域，其气候变化及发展趋势一直是学界的研究热点，极端气候事件分析是其中一项重要的研究内容。本文基于1960-2012年内99个气象观测站的日值气温（日最高气温、日最低气温）和降水观测资料（日降水），经过数据质量控制和异常值剔除，计算得到每年典型的15项极端气温指数和8项极端降水指数，其中包括10项绝对值指数和13项阈值指数(百分比和观测量阈值)。本数据集可以作为青藏高原地区在全球气候变化下极端天气事件发生频率和趋势探测分析的材料，也可以作为基础数据来探索极端天气事件对农牧业生产的影响。
DOI: 10.57760/sciencedb.480
title: A dataset of venomous animals in China
title: 中国有毒动物数据集

description: This dataset of venomous animals in China integrates the data of taxonomy of terrestrial venomous animals in China, toxin active ingredients, envenomation and poisoning by animals and treatment therapy. The dataset contains 1371 records, 1362 pictures of species, protein sequence and molecular structure, and the data volume is 29 MB. The structure and standard of the dataset are designed and determined by experts of zoology and IT technicians together. Biological experts collected and reviewed the data before importing them into the database. A data management system is designed and programmed to process all the collected data and to perform quality control. The dataset supplies useful data and information to the research and development of venomous animals. As the bioactive constituents from toxin are one of the important source of biomedicine, the dataset contributes to identifying and preserving venomous animals, providing knowledge on poison prevention and treatment caused by venomous animals.
description: This dataset of venomous animals in China integrates the data of taxonomy of terrestrial venomous animals in China, toxin active ingredients, envenomation and poisoning by animals and treatment therapy. The dataset contains 1371 records, 1362 pictures of species, protein sequence and molecular structure, and the data volume is 29 MB. The structure and standard of the dataset are designed and determined by experts of zoology and IT technicians together. Biological experts collected and reviewed the data before importing them into the database. A data management system is designed and programmed to process all the collected data and to perform quality control. The dataset supplies useful data and information to the research and development of venomous animals. As the bioactive constituents from toxin are one of the important source of biomedicine, the dataset contributes to identifying and preserving venomous animals, providing knowledge on poison prevention and treatment caused by venomous animals.
DOI: 10.57760/sciencedb.483
title: Feature dataset of Chinese Pieridae specimen image
title: 中国粉蝶标本图像特征数据集

description: Feature dataset of Chinese Pieridae specimen image is created in the researches of butterfly image recognition. This dataset collects the color, texture and shape features from 458 pre-processed specimen images of Chinese Pieridae by standardized feature extraction methods. Each record contains the classification information, image identifier feature ID and feature value of an image. The dataset could support research on pattern recognition and entomology.
description: Feature dataset of Chinese Pieridae specimen image is created in the researches of butterfly image recognition. This dataset collects the color, texture and shape features from 458 pre-processed specimen images of Chinese Pieridae by standardized feature extraction methods. Each record contains the classification information, image identifier feature ID and feature value of an image. The dataset could support research on pattern recognition and entomology.
DOI: 10.57760/sciencedb.126
title: The geomagnetic dataset of Beijing Ming Tombs station 1991–2001
title: 1991～2001年北京十三陵台站地磁数据集

description: Beijing Ming Tombs station is located at the northeast of Deshengkou village, Ming Tombs town, Changping district, Beijing. It belongs to Space Environment Exploration Laboratory, Institute of Geology and Geophysics, Chinese Academy of Sciences. It is a member of INTERMAGNET. This dataset contains the geomagnetic data of Beijing Ming Tombs station from 1991 to 2001, including magnetic declination, horizontal intensity and vertical intensity. It can be used in various research areas, such as geomagnetism，space environment and the interactions between various parts of the Earth.
description: Beijing Ming Tombs station is located at the northeast of Deshengkou village, Ming Tombs town, Changping district, Beijing. It belongs to Space Environment Exploration Laboratory, Institute of Geology and Geophysics, Chinese Academy of Sciences. It is a member of INTERMAGNET. This dataset contains the geomagnetic data of Beijing Ming Tombs station from 1991 to 2001, including magnetic declination, horizontal intensity and vertical intensity. It can be used in various research areas, such as geomagnetism，space environment and the interactions between various parts of the Earth.
DOI: 10.57760/sciencedb.298
title: Typical subtropical Evergreen and deciduous broad-leaved species that make up the DataSet
title: 亚热带典型常绿落叶阔叶混交林物种组成数据集

description: Sample data is to reveal the plant community species composition and community structure of key documents, is an in-depth study on the compiling and researching the dynamics of plant community and plant monographs important support. Evergreen and deciduous broad-leaved mixed forests are Evergreen broad-leaved forest and natural transition between deciduous type, is one of the types of vegetation is sensitive to climatic fluctuations. The data recorded and collected in China in 2001 in subtropical and warm temperate transitional vegetation between Evergreen and deciduous broad-leaved mixed forest diameter 4cm the fixed sampling more species information, including 35 families, 58 81 species of trees of the genus species name, average diameter at breast height, abundance, critical values, habits, negative resistance, successional status and other information. Users can follow the species name, leaf habit and succession character of data retrieval. Typical of Evergreen and deciduous broad-leaved mixed forest establishment of the sample database, for understanding the types of forests under future global change conditions of dynamic characteristics and their response to climate change provides the data, helps to enhance the scientific research of mixed Evergreen and deciduous broadleaved forest provides data sharing, it is important to promote the study of vegetation ecology for a long time.
description: Sample data is to reveal the plant community species composition and community structure of key documents, is an in-depth study on the compiling and researching the dynamics of plant community and plant monographs important support. Evergreen and deciduous broad-leaved mixed forests are Evergreen broad-leaved forest and natural transition between deciduous type, is one of the types of vegetation is sensitive to climatic fluctuations. The data recorded and collected in China in 2001 in subtropical and warm temperate transitional vegetation between Evergreen and deciduous broad-leaved mixed forest diameter 4cm the fixed sampling more species information, including 35 families, 58 81 species of trees of the genus species name, average diameter at breast height, abundance, critical values, habits, negative resistance, successional status and other information. Users can follow the species name, leaf habit and succession character of data retrieval. Typical of Evergreen and deciduous broad-leaved mixed forest establishment of the sample database, for understanding the types of forests under future global change conditions of dynamic characteristics and their response to climate change provides the data, helps to enhance the scientific research of mixed Evergreen and deciduous broadleaved forest provides data sharing, it is important to promote the study of vegetation ecology for a long time.
DOI: 10.57760/sciencedb.332
title: Ultraviolet radiation datasets in Chinese terrestrial ecosystems
title: Ultraviolet radiation datasets in Chinese terrestrial ecosystems

description: Two ultraviolet radiation datasets are described here, one is the observed hourly UV radiation measured at 40 Chinese Ecosystem Research Network stations from 2005 to 2015. CUV3 broadband radiometers are used to observe ultraviolet radiation with an accuracy of 5% that meets the standard for World Meteorology Organization measurements. The extremum method is used to control the quality of the measured datasets. The other dataset is daily accumulated ultraviolet radiation, calculated using an all-sky estimation model combined with a hybrid model. The reconstructed daily ultraviolet radiation data spans the years 1961 to 2014. These datasets can improve our basic knowledge of the spatial and temporal variations of ultraviolet radiation. Additionally, the datasets can provide scientific data support for biological effects studies, ecological process simulations and atmosphere-land surface interactions.
description: Two ultraviolet radiation datasets are described here, one is the observed hourly UV radiation measured at 40 Chinese Ecosystem Research Network stations from 2005 to 2015. CUV3 broadband radiometers are used to observe ultraviolet radiation with an accuracy of 5% that meets the standard for World Meteorology Organization measurements. The extremum method is used to control the quality of the measured datasets. The other dataset is daily accumulated ultraviolet radiation, calculated using an all-sky estimation model combined with a hybrid model. The reconstructed daily ultraviolet radiation data spans the years 1961 to 2014. These datasets can improve our basic knowledge of the spatial and temporal variations of ultraviolet radiation. Additionally, the datasets can provide scientific data support for biological effects studies, ecological process simulations and atmosphere-land surface interactions.
DOI: 10.57760/sciencedb.362
title: Historical street network GIS datasets of Beijing within 5th ring-road
title: 北京市五环内历史路网GIS数据集

description: Data file name: Beijing.rar Data deion: 1) after finishing public issued of Beijing city traffic figure, and Beijing map, and Beijing Tourism figure, by geometry corrected, and image distribution associate, work Hou, on the year road center line for vector quantitative, on vector quantitative of network data for edit, until network full, get has Beijing city five ring within, each 10 years around time interval of network GIS data, established has Beijing history network data set. 2) data file contains years of Beijing's road network data and route data is shapefile files and named for years (1969, 1978, 1990, 2000 and 2008). 3) shapefile file's property sheet for each year, the field "year_" section belongs to the year, the field "From_" indicates that this stretch of road network from previous vintages in the sections corresponding to the FID. If you have any questions, please contact lianggao@bjtu.edu.CN.
description: Data file name: Beijing.rar Data deion: 1) after finishing public issued of Beijing city traffic figure, and Beijing map, and Beijing Tourism figure, by geometry corrected, and image distribution associate, work Hou, on the year road center line for vector quantitative, on vector quantitative of network data for edit, until network full, get has Beijing city five ring within, each 10 years around time interval of network GIS data, established has Beijing history network data set. 2) data file contains years of Beijing's road network data and route data is shapefile files and named for years (1969, 1978, 1990, 2000 and 2008). 3) shapefile file's property sheet for each year, the field "year_" section belongs to the year, the field "From_" indicates that this stretch of road network from previous vintages in the sections corresponding to the FID. If you have any questions, please contact lianggao@bjtu.edu.CN.