cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.878
title: A dataset of topsoil organic carbon density for agricultural ecosystem field stations of Chinese Ecosystem Research Network (2005-2015)
title: 2005–2015年中国生态系统研究网络农田生态系统生态站表层土壤有机碳密度数据集

description: This dataset calculated the topsoil organic carbon density of ecological stations covering main agricultural ecosystems in China from 2005 to 2015 based on the measured data of physical and chemical properties of topsoil from 19 China Ecosystem Research Network (CERN) ecological stations covering different agricultural ecosystems, and combined with the estimation model of organic carbon. It will be the basis of estimating more accurately the soil organic carbon storage and studying its spatial distribution characteristics of farmland in China.
description: This dataset calculated the topsoil organic carbon density of ecological stations covering main agricultural ecosystems in China from 2005 to 2015 based on the measured data of physical and chemical properties of topsoil from 19 China Ecosystem Research Network (CERN) ecological stations covering different agricultural ecosystems, and combined with the estimation model of organic carbon. It will be the basis of estimating more accurately the soil organic carbon storage and studying its spatial distribution characteristics of farmland in China.
DOI: 10.57760/sciencedb.914
title: 商品化合物数据库
title: 商品化合物数据库

description: 中国、美国、欧盟现有化学物质名录中的34177种化合物，包含标识信息（CAS登录号、中英文名称、所属名录、化学式、摩尔质量、SMILES码）、理化性质数据（熔点Tm 、正常沸点Tb 、蒸汽压P、密度ρ、表面张力σ、黏度η）和萃取性能（分配系数mij 、选择性βij 、溶解能力SPij 、溶剂损失SLi ）。（本数据集为89个样例数据集）
description: 中国、美国、欧盟现有化学物质名录中的34177种化合物，包含标识信息（CAS登录号、中英文名称、所属名录、化学式、摩尔质量、SMILES码）、理化性质数据（熔点Tm 、正常沸点Tb 、蒸汽压P、密度ρ、表面张力σ、黏度η）和萃取性能（分配系数mij 、选择性βij 、溶解能力SPij 、溶剂损失SLi ）。（本数据集为89个样例数据集）
DOI: 10.57760/sciencedb.891
title: A dataset of water pH and total dissolved solid contents of Chinese Ecosystem Research Network during 2004–2016
title: 2004–2016年中国生态系统研究网络水体酸碱度和总溶解性固体数据集

description: The pH and salinity of water are important monitoring indicators of the Chinese Ecosystem Research Network (CERN), which can provide important data for the study of long-term changes of water within ecosystems. The pH of precipitation can indicate whether it is acid deposition or not. Besides, the pH of surface water and groundwater pH determines whether water quality is harmful to plant growth and drinking by animals. Furthermore, salinity is an indicator of the total soluble solids content in water, which also affects the water absorption by plant roots and the survival distribution of animals. This dataset consists of pH and salinity of precipitation, surface water, groundwater data from 33 field stations in five ecosystem of CERN (agro-ecosystem, forest, desert, grassland and marsh) from 2004 to 2016. The dataset can provide data for the analysis of temporal variation and spatial pattern of acidity and salinity of precipitation, surface water and groundwater. It can also provide data for studying the long-term changes of water quality, pH and salinization in typical ecosystems in China.
description: The pH and salinity of water are important monitoring indicators of the Chinese Ecosystem Research Network (CERN), which can provide important data for the study of long-term changes of water within ecosystems. The pH of precipitation can indicate whether it is acid deposition or not. Besides, the pH of surface water and groundwater pH determines whether water quality is harmful to plant growth and drinking by animals. Furthermore, salinity is an indicator of the total soluble solids content in water, which also affects the water absorption by plant roots and the survival distribution of animals. This dataset consists of pH and salinity of precipitation, surface water, groundwater data from 33 field stations in five ecosystem of CERN (agro-ecosystem, forest, desert, grassland and marsh) from 2004 to 2016. The dataset can provide data for the analysis of temporal variation and spatial pattern of acidity and salinity of precipitation, surface water and groundwater. It can also provide data for studying the long-term changes of water quality, pH and salinization in typical ecosystems in China.
DOI: 10.57760/sciencedb.895
title: A dataset of glacier boundary in the Tanggula Mountains in 1991 and 2015
title: 1991年和2015年唐古拉山冰川边界/范围矢量数据集

description: The Tanggula Mountains are located in the central part of the Tibetan Plateau (31°15′~34°45′ N, 90°23′~95°52′ E), are bordered by the Zulkkora Mountains to the west and by the Bujiagangri region to the east, and stretch ~500 km from NW to SE. They form the boundary between Qinghai province and the Tibet Autonomous Region and serve as the watershed of the Nujiang and Yangtze-Lantsang Rivers. The average elevation of the Tanggula Mountains is ~5500 m, and the terrain is high in the west and low in the east. The glaciers located in the eastern section of the mountains are temperate-glaciers and in the western section are cold-glaciers. The Yangtze River, Nu River and Lantsang River all originate from the Tanggula Mountains. Therefore, glacier changes in the region play a crucial role in the water resources of the above rivers. The dataset delineated the glacier vector data of Tanggula Mountains in 1991 and 2015 based on the First Chinese Glacier Inventory and Second Chinese Glacier Inventory, Landsat TM images from 1989 to 1995, Landsat OLI images from 2013 to 2017 and the Shuttle Radar Topography Mission (SRTM) DEM data. Additionally, the glacier coding, name and basin et al. were labeled in the attribute table. The dataset presents the glacier conditions in 1991 (between the two Chinese glacier inventories) and 2015, which can be used as the basic data for research on glacier change and climate change in this region.
description: The Tanggula Mountains are located in the central part of the Tibetan Plateau (31°15′~34°45′ N, 90°23′~95°52′ E), are bordered by the Zulkkora Mountains to the west and by the Bujiagangri region to the east, and stretch ~500 km from NW to SE. They form the boundary between Qinghai province and the Tibet Autonomous Region and serve as the watershed of the Nujiang and Yangtze-Lantsang Rivers. The average elevation of the Tanggula Mountains is ~5500 m, and the terrain is high in the west and low in the east. The glaciers located in the eastern section of the mountains are temperate-glaciers and in the western section are cold-glaciers. The Yangtze River, Nu River and Lantsang River all originate from the Tanggula Mountains. Therefore, glacier changes in the region play a crucial role in the water resources of the above rivers. The dataset delineated the glacier vector data of Tanggula Mountains in 1991 and 2015 based on the First Chinese Glacier Inventory and Second Chinese Glacier Inventory, Landsat TM images from 1989 to 1995, Landsat OLI images from 2013 to 2017 and the Shuttle Radar Topography Mission (SRTM) DEM data. Additionally, the glacier coding, name and basin et al. were labeled in the attribute table. The dataset presents the glacier conditions in 1991 (between the two Chinese glacier inventories) and 2015, which can be used as the basic data for research on glacier change and climate change in this region.
DOI: 10.57760/sciencedb.801
title: A dataset of CO2 emission factors in UNFCCC Annex I countries from 1990 to 2016
title: 1990–2016年UNFCCC附件一国家二氧化碳排放因子数据集

description: The issue ofclimate change is the focus of international community. CO2 released from the combustion of fossil fuel contribute more than 58% to the total greenhouse gas (GHGs) emissions, which is the main source of GHGs emissions. It is also the main focus of GHGs emissions reduction in every country. Therefore, the accuracy of CO2 emission accounting of fossil fuel combustion is the basis for the formulation and implementation of emission reduction policies. The difference between different accounting methods mainly lies in the choice of emission factors. The national greenhouse gas inventory report is an official document submitted to the United Nations by the States Parties to the Paris Agreement. It consists of the national inventory report (NIR) and common reporting format (CRF). In this study, the greenhouse gas inventory report submitted by the forty-four annex I countries was collated. And the dataset of CO2 emission factors of fossil fuels combustion by Sectoral-approach in annex I countries from 1990 to 2016 was obtained and classified. The dataset is an xlsx file which contains the data from different countries and aggregated data. It is convenient for data retrieval, filtering, comparison and analysis. It can also be used as the basic data for subsequent greenhouse gas accounting.
description: The issue ofclimate change is the focus of international community. CO2 released from the combustion of fossil fuel contribute more than 58% to the total greenhouse gas (GHGs) emissions, which is the main source of GHGs emissions. It is also the main focus of GHGs emissions reduction in every country. Therefore, the accuracy of CO2 emission accounting of fossil fuel combustion is the basis for the formulation and implementation of emission reduction policies. The difference between different accounting methods mainly lies in the choice of emission factors. The national greenhouse gas inventory report is an official document submitted to the United Nations by the States Parties to the Paris Agreement. It consists of the national inventory report (NIR) and common reporting format (CRF). In this study, the greenhouse gas inventory report submitted by the forty-four annex I countries was collated. And the dataset of CO2 emission factors of fossil fuels combustion by Sectoral-approach in annex I countries from 1990 to 2016 was obtained and classified. The dataset is an xlsx file which contains the data from different countries and aggregated data. It is convenient for data retrieval, filtering, comparison and analysis. It can also be used as the basic data for subsequent greenhouse gas accounting.
DOI: 10.57760/sciencedb.861
title: The catalogue of animal type specimens in Shennongjia, Hubei Province, China
title: 湖北神农架动物模式标本名录

description: The dataset covers 915 animal species, including type specimens collected from Shennongjia area (3 phyla, 8 classes, 31 orders and 187 families), which contain 7 vertebrates (1 phylum, 2 classes, 4 orders and 6 families) and 908 invertebrates (2 phyla, 6 classes, 27 orders and 181 families). Meanwhile, 14 species that were identified as ineffective specimens are specifically compiled. In this dataset, each record covers availability and classification of corresponding species, number of type specimens (i.e., holotype, allotype and paratype), collection location, collection time, specimen storage location in the original literature, whether the specimens are merely from Shennongjia, reference materials and remarks.
description: The dataset covers 915 animal species, including type specimens collected from Shennongjia area (3 phyla, 8 classes, 31 orders and 187 families), which contain 7 vertebrates (1 phylum, 2 classes, 4 orders and 6 families) and 908 invertebrates (2 phyla, 6 classes, 27 orders and 181 families). Meanwhile, 14 species that were identified as ineffective specimens are specifically compiled. In this dataset, each record covers availability and classification of corresponding species, number of type specimens (i.e., holotype, allotype and paratype), collection location, collection time, specimen storage location in the original literature, whether the specimens are merely from Shennongjia, reference materials and remarks.
DOI: 10.57760/sciencedb.862
title: A dataset of water eight ions contents at stations of Chinese Ecosystems Research Network (CERN) during 2004-2016
title: 2004~2016年中国生态系统研究网络（CERN）台站水中八大离子数据集

description: Water is an important component of nature and a major environmental factor in the ecosystem. Chinese Ecosystem Research Network (CERN) conducted long-term in situ monitoring for water environments in typical ecosystems. This dataset collected water chemistry monitoring data on the eight ions (Ca2+, Mg2+, Na+, K+, HCO3- , CO32- , SO42- , Cl-) in the ground water, still surface water and flowing surface water from 34 terrestrial ecological stations during 2004-2016. The data were observed at five typical terrestrial ecosystems in China: farmland, grassland, forest, desert and peatland. With the test for accuracy and the elimination of outliers, we improved the data in format and reliability. These data are helpful in understanding the characteristics of hydrochemical changes in various ecosystems.
description: Water is an important component of nature and a major environmental factor in the ecosystem. Chinese Ecosystem Research Network (CERN) conducted long-term in situ monitoring for water environments in typical ecosystems. This dataset collected water chemistry monitoring data on the eight ions (Ca2+, Mg2+, Na+, K+, HCO3- , CO32- , SO42- , Cl-) in the ground water, still surface water and flowing surface water from 34 terrestrial ecological stations during 2004-2016. The data were observed at five typical terrestrial ecosystems in China: farmland, grassland, forest, desert and peatland. With the test for accuracy and the elimination of outliers, we improved the data in format and reliability. These data are helpful in understanding the characteristics of hydrochemical changes in various ecosystems.
DOI: 10.57760/sciencedb.864
title: Main crops Biomass (A-ground and U-ground) and leaf area index in slope farmland in a hilly areas of central Sichuan Basin of China (2006–2015)
title: 2006-2015年川中丘陵区坡耕地主要作物不同生育期生物量（地上和地下）与叶面积数据集

description: This dataset is composed of two parts of data stored in two respective Excel files. They are: 1. Data on Main crops AG-biomass and leaf area index (2006-2015); 2. Data on Main crops Root biomass in cultivated layer of soil (2006-2015).
description: This dataset is composed of two parts of data stored in two respective Excel files. They are: 1. Data on Main crops AG-biomass and leaf area index (2006-2015); 2. Data on Main crops Root biomass in cultivated layer of soil (2006-2015).
DOI: 10.57760/sciencedb.867
title: A dataset of China’s overseas highway project information from 2006 to 2019
title: 2006–2019年中国境外公路项目信息数据集

description: Since the “Belt and Road Initiative” initiative, China's overseas highway projects have developed rapidly. Highway construction is the leading carrier for the construction of other projects. It is vital to the construction of other supporting facilities, and at the same time it can stimulate economic growth along the region and narrow the gap between regions. Development gap. However, there are currently few statistics on highway projects outside China, and there is a lack of statistics and positioning data for the “Belt and Road Initiative” highway project. This dataset uses web crawler technology, various corporate official website consultation reports, and OSM (open street map) and DIVA-GIS road data sources to collect and organize information on 99 highway projects in 51 countries, including the project location and construction of highway projects. 13 basic information such as start time, route length, construction unit and cooperation mode. The collection of road information is not only conducive to enterprises to strengthen communication, formulate more international norms, rationally carry out investment in overseas highway projects, and has positive significance for the overall planning and layout of China's “Belt and Road Initiative” overseas highway project.
description: Since the “Belt and Road Initiative” initiative, China's overseas highway projects have developed rapidly. Highway construction is the leading carrier for the construction of other projects. It is vital to the construction of other supporting facilities, and at the same time it can stimulate economic growth along the region and narrow the gap between regions. Development gap. However, there are currently few statistics on highway projects outside China, and there is a lack of statistics and positioning data for the “Belt and Road Initiative” highway project. This dataset uses web crawler technology, various corporate official website consultation reports, and OSM (open street map) and DIVA-GIS road data sources to collect and organize information on 99 highway projects in 51 countries, including the project location and construction of highway projects. 13 basic information such as start time, route length, construction unit and cooperation mode. The collection of road information is not only conducive to enterprises to strengthen communication, formulate more international norms, rationally carry out investment in overseas highway projects, and has positive significance for the overall planning and layout of China's “Belt and Road Initiative” overseas highway project.
DOI: 10.57760/sciencedb.872
title: A plant community dataset of marsh ecosystem for Sanjiang Plain, China 2000 – 2015
title: 2000–2015年三江平原沼泽生态系统植物群落数据集

description: This dataset is selected from the biological observation data of Sanjiang Plain Experimental Station of Wetland Ecology, Chinese Academy of Sciences. It includes plant community biomass, community composition data from 2000 to 2015. Its Data collection and quality control are carried out strictly in conformity with the Protocols for Standard Biological Observation and Measurement in Terrestrial Ecosystems. This dataset will provide data support for the research of marsh ecosystem in response to global change.
description: This dataset is selected from the biological observation data of Sanjiang Plain Experimental Station of Wetland Ecology, Chinese Academy of Sciences. It includes plant community biomass, community composition data from 2000 to 2015. Its Data collection and quality control are carried out strictly in conformity with the Protocols for Standard Biological Observation and Measurement in Terrestrial Ecosystems. This dataset will provide data support for the research of marsh ecosystem in response to global change.
DOI: 10.57760/sciencedb.874
title: A dataset of groundwater level at National Observation and Research Station for Forest Ecosystems in Shennongjia (2012–2016)
title: 2012–2016年湖北神农架森林生态系统国家野外科学观测研究站地下水位数据集

description: Groundwater is an important natural resource in a region, and the data of groundwater level can offer significant references for studying the long-term changes of groundwater. This dataset consists of groundwater level data recorded manually from June 2012 to December 2016 at National Observation and Research Station for Forest Ecosystem in Shennongjia, Hubei, China (also known as Shennongjia Biodiversity Research Station of Chinese Academy of Sciences, SNF for short), with a total of 1,675 entries. In order to facilitate users to understand the general situation of groundwater level of this site, such as average depth and its changes, we calculated the mean value, standard deviation, accumulated monthly dynamics, annual variation and trend of the groundwater level depth. A groundwater well was set up in the tree garden of SNF at an altitude of 1,290 m. The distance from the level of groundwater to the ground plane was measured at 8:00 p.m. every day. Preliminary analysis shows that the groundwater level of SNF has a downward trend. However, the precipitation during the same period has not decreased, but slightly increased. The causes of the decline in the groundwater level of SNF are subject to long-term observation and further in-depth analysis.
description: Groundwater is an important natural resource in a region, and the data of groundwater level can offer significant references for studying the long-term changes of groundwater. This dataset consists of groundwater level data recorded manually from June 2012 to December 2016 at National Observation and Research Station for Forest Ecosystem in Shennongjia, Hubei, China (also known as Shennongjia Biodiversity Research Station of Chinese Academy of Sciences, SNF for short), with a total of 1,675 entries. In order to facilitate users to understand the general situation of groundwater level of this site, such as average depth and its changes, we calculated the mean value, standard deviation, accumulated monthly dynamics, annual variation and trend of the groundwater level depth. A groundwater well was set up in the tree garden of SNF at an altitude of 1,290 m. The distance from the level of groundwater to the ground plane was measured at 8:00 p.m. every day. Preliminary analysis shows that the groundwater level of SNF has a downward trend. However, the precipitation during the same period has not decreased, but slightly increased. The causes of the decline in the groundwater level of SNF are subject to long-term observation and further in-depth analysis.
DOI: 10.57760/sciencedb.889
title: Data of a series of novel chiral biaryl monophosphonates
title: Data of a series of novel chiral biaryl monophosphonates

description: Herein, we report a highly efficient organocatalytic asymmetric arylation of p-quinone phosphonates and 2-naphthols. A series of chiral biaryl monophosphonates were obtained under mild conditions in excellent yields and enantionselectivities (up to 99% yield and 95% ee). This reaction is highly functional group tolerant and could be operated at gram scale with a low catalyst loading (0.5 mol %). Remarkably, our approach provides a green and readily access to novel chiral biaryl monophosphorus ligands. Compound 4ca was successfully converted to novel chiral biaryl monophosphorus ligands 7a, 7b and 8 with high enantionselectivities in three steps.
description: Herein, we report a highly efficient organocatalytic asymmetric arylation of p-quinone phosphonates and 2-naphthols. A series of chiral biaryl monophosphonates were obtained under mild conditions in excellent yields and enantionselectivities (up to 99% yield and 95% ee). This reaction is highly functional group tolerant and could be operated at gram scale with a low catalyst loading (0.5 mol %). Remarkably, our approach provides a green and readily access to novel chiral biaryl monophosphorus ligands. Compound 4ca was successfully converted to novel chiral biaryl monophosphorus ligands 7a, 7b and 8 with high enantionselectivities in three steps.
DOI: 10.57760/sciencedb.923
title: Constructing dataset of classified drainage areas based on surface water-supply patterns in High Mountain Asia
title: 基于地表水资源补给方式的亚洲高山区流域分类数据集

description: The High Mountain Asia (HMA) region is a geographical unit, holds the largest reservoir of glaciers and snow outside Earth poles. Four datasets were thus obtained: Glacier- and Stream-fed Drainage Area (GSDA), Glacier-fed and stream-free Drainage Area(GDA), glacier-free and Stream-fed Drainage Area(SDA), and the Glacier- and Stream-free Drainage Area (NGSDA), with the numbers of 87, 107, 32, and 448 separately. The statistical results show GSDA has the largest surface area, accounting for 82.2% of the total basin area in HMA, mainly in the region of the outflow basin. Dominated by small basins, the GDA area accounts for the smallest surface area, only 3.86% of the total, the SDA accounts for 5.62%. For NGSDA, most of these are with small areas, accounting for 8.32%, and mainly distributes in the inflow basin of the Qiangtang Plateau.
description: The High Mountain Asia (HMA) region is a geographical unit, holds the largest reservoir of glaciers and snow outside Earth poles. Four datasets were thus obtained: Glacier- and Stream-fed Drainage Area (GSDA), Glacier-fed and stream-free Drainage Area(GDA), glacier-free and Stream-fed Drainage Area(SDA), and the Glacier- and Stream-free Drainage Area (NGSDA), with the numbers of 87, 107, 32, and 448 separately. The statistical results show GSDA has the largest surface area, accounting for 82.2% of the total basin area in HMA, mainly in the region of the outflow basin. Dominated by small basins, the GDA area accounts for the smallest surface area, only 3.86% of the total, the SDA accounts for 5.62%. For NGSDA, most of these are with small areas, accounting for 8.32%, and mainly distributes in the inflow basin of the Qiangtang Plateau.