cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.787
title: A dataset of lake level changes in High Mountain Asia using multi-altimeter data
title: 基于多源雷达高度计数据的高亚洲湖泊水位变化数据集

description: Lake levels are important indicators of global environmental changes and dynamics of water resources. High Mountain Asia is a region dotted with lakes, and monitoring lake level changes is important for the research of climate and ecological changes in the region. However, it is difficult for ground measurements of lake levels due to scarce hydrological sites. Satellite altimetry technology is a tool for monitoring lake level changes. In this study, a dataset of lake level changes from 2002 to 2017 for 87 lakes in High Mountain Asia was compiled through lake boundary delineation, water level calculation, outlier removal, Gaussian filtering, and elevation system conversion, and developed based on multi-altimeter data and MODIS images. The dataset includes the daily water level, the monthly and annual average water levels, and annual rate of lake level change for 87 lakes, and can support to monitor the dynamics of lake changes, and study the climate and environmental changes and manage the water resources in this region.
description: Lake levels are important indicators of global environmental changes and dynamics of water resources. High Mountain Asia is a region dotted with lakes, and monitoring lake level changes is important for the research of climate and ecological changes in the region. However, it is difficult for ground measurements of lake levels due to scarce hydrological sites. Satellite altimetry technology is a tool for monitoring lake level changes. In this study, a dataset of lake level changes from 2002 to 2017 for 87 lakes in High Mountain Asia was compiled through lake boundary delineation, water level calculation, outlier removal, Gaussian filtering, and elevation system conversion, and developed based on multi-altimeter data and MODIS images. The dataset includes the daily water level, the monthly and annual average water levels, and annual rate of lake level change for 87 lakes, and can support to monitor the dynamics of lake changes, and study the climate and environmental changes and manage the water resources in this region.
DOI: 10.57760/sciencedb.753
title: 1959-2016年阿尔泰山冰川长度数据集
title: 1959-2016年阿尔泰山冰川长度数据集

description: 阿尔泰山位于亚洲中部和新疆最北端，是我国冰川发育纬度最高的地区。阿尔泰山地区冰川属亚大陆型，受全球气候变暖影响，该区域冰川退缩剧烈。本数据集基于阿尔泰山地区两次冰川编目数据、2016年Landsat OLI遥感影像及数字高程模型（DEM）等相关数据，提取不同时期该地区冰川中流线，继而获得逐条冰川长度信息。数据集包含两个文件：1）基于Landsat OLI遥感影像及数字高程模型提取的2016年阿尔泰山冰川编目矢量数据；2）基于中流线方法提取的1959年、2006年、2016年阿尔泰山冰川中流线矢量数据。本数据集反映了1959-2016年阿尔泰山地区冰川长度变化信息，可作为区域冰川变化、气候变化等研究的基础数据。
description: 阿尔泰山位于亚洲中部和新疆最北端，是我国冰川发育纬度最高的地区。阿尔泰山地区冰川属亚大陆型，受全球气候变暖影响，该区域冰川退缩剧烈。本数据集基于阿尔泰山地区两次冰川编目数据、2016年Landsat OLI遥感影像及数字高程模型（DEM）等相关数据，提取不同时期该地区冰川中流线，继而获得逐条冰川长度信息。数据集包含两个文件：1）基于Landsat OLI遥感影像及数字高程模型提取的2016年阿尔泰山冰川编目矢量数据；2）基于中流线方法提取的1959年、2006年、2016年阿尔泰山冰川中流线矢量数据。本数据集反映了1959-2016年阿尔泰山地区冰川长度变化信息，可作为区域冰川变化、气候变化等研究的基础数据。
DOI: 10.57760/sciencedb.83
title: Observation Data of No.1 Buoy of the Yellow Sea station in 2013~2015, Off-shore Marine Observation and Research Network of China
title: 中国近海观测网络黄海站01号浮标2013～2015年观测数据集

description: For the purpose of monitoring the marine environment of high productivity area on the North Yellow Sea, No.1 ocean observation buoy was laid at the Southern of Changshan Island (122º45.02΄E；38º45.58΄N) in 2009, and upgraded and transformed in 2012. After the upgrade was completed, the quality of the data acquisition and data transmission mode had been greatly improved. From 2013 to 2015, this buoy carried out long-term and continuous observation data on meteorology, hydrology, and water quality. In order to further use these data, we process them with standard data processing methods and quality control system. Also, download service on the Internet is provided for the user.
description: For the purpose of monitoring the marine environment of high productivity area on the North Yellow Sea, No.1 ocean observation buoy was laid at the Southern of Changshan Island (122º45.02΄E；38º45.58΄N) in 2009, and upgraded and transformed in 2012. After the upgrade was completed, the quality of the data acquisition and data transmission mode had been greatly improved. From 2013 to 2015, this buoy carried out long-term and continuous observation data on meteorology, hydrology, and water quality. In order to further use these data, we process them with standard data processing methods and quality control system. Also, download service on the Internet is provided for the user.
DOI: 10.57760/sciencedb.84
title: 2001-2010 year month maximum photosynthetically active radiation data sets
title: 2001～2010年中国光合有效辐射月最大值数据集

description: Photosynthetically active radiation is the regional vegetation changes and one of the most important parameter in the study of ecological change, is the basis of estimates of global spending on carbon and biodiversity. Chinese regional spatial resolution of 1 km maximum photosynthetically active radiation months there is no direct data download source. Data products based on MODIS L4 level MOD15A2 （1 km/8day）based, through registration, format conversion, unit conversion, MVC （Maximum value composite）maximum extraction process China zone of photosynthetically active radiation, such as monthly maximum data set, the data cover a time range for the 2001-2010.
description: Photosynthetically active radiation is the regional vegetation changes and one of the most important parameter in the study of ecological change, is the basis of estimates of global spending on carbon and biodiversity. Chinese regional spatial resolution of 1 km maximum photosynthetically active radiation months there is no direct data download source. Data products based on MODIS L4 level MOD15A2 （1 km/8day）based, through registration, format conversion, unit conversion, MVC （Maximum value composite）maximum extraction process China zone of photosynthetically active radiation, such as monthly maximum data set, the data cover a time range for the 2001-2010.
DOI: 10.57760/sciencedb.879
title: Soil element content dataset of Dongting Lake beach (2012 – 2016)
title: 2012–2016年洞庭湖洲滩土壤元素含量数据集

description: The dataset consists of 5 tables, which are "Dongting Lake Beach Soil Element Content" table, "Plot Information" table, "Plot Management Record" table, "Analysis Method Record" table and "Standard Sample Determination Record" table. The table of "soil element content in Dongting Lake beach" recorded the monitoring data of soil elements in surface layer of three typical wetland plants (Carex. sp, Triarrhena lutarioriparia and Polygonum hydropiper) in Dongting Lake, contained 27 entries, which includes station code, year, month, day, plot code, sampling subplot description (micro-topography), soil type, parent material, vegetation/crop, sampling depth (cm), organic matter (g/kg), total nitrogen (N g/kg), total phosphorus (P g/kg), total potassium (K g/kg), available phosphorus (P mg/kg), available. potassium (unit: K mg/kg), total manganese (Mn mg/kg), total iron (Fe%), cadmium (Cd mg/kg), lead (Pb mg/kg), chromium (Cr mg/kg), nickel (Ni mg/kg), mercury (Hg mg/kg), arsenic (As mg/kg), and remarks, with the total being 26 fields.
description: The dataset consists of 5 tables, which are "Dongting Lake Beach Soil Element Content" table, "Plot Information" table, "Plot Management Record" table, "Analysis Method Record" table and "Standard Sample Determination Record" table. The table of "soil element content in Dongting Lake beach" recorded the monitoring data of soil elements in surface layer of three typical wetland plants (Carex. sp, Triarrhena lutarioriparia and Polygonum hydropiper) in Dongting Lake, contained 27 entries, which includes station code, year, month, day, plot code, sampling subplot description (micro-topography), soil type, parent material, vegetation/crop, sampling depth (cm), organic matter (g/kg), total nitrogen (N g/kg), total phosphorus (P g/kg), total potassium (K g/kg), available phosphorus (P mg/kg), available. potassium (unit: K mg/kg), total manganese (Mn mg/kg), total iron (Fe%), cadmium (Cd mg/kg), lead (Pb mg/kg), chromium (Cr mg/kg), nickel (Ni mg/kg), mercury (Hg mg/kg), arsenic (As mg/kg), and remarks, with the total being 26 fields.
DOI: 10.57760/sciencedb.747
title: A dataset of spatial distribution of degree-day factors for glaciers in High Mountain Asia
title: 高亚洲冰川区度日因子空间分布数据集

description: The degree-day model, a widely used approach for ice- and snow-melt computation, rests upon a relationship between snow or ice melt and air temperature that is usually expressed in the form of positive temperature. The degree-day factor (DDF) is an important parameter for the model, and its spatial variation largely affects the accuracy of snow- and ice-melt simulations. Across High Mountain Asia (HMA), only a few glaciers have long-term observations over the past decades, leading to be unable to provide necessary parameters for regional melting simulation based on degree-day models. In this study, we collected investigations and observations on 40 glaciers located on different regions in HMA, and estimated the transfer functions for snow and ice DDFs. Then, we obtained the dataset of spatial distributions of DDFs for snow and ice in HMA. These data, with a spatial resolution of 0.5°, were stored in GeoTIFF format in 32-bit floating point. A comparison between regional mass balance simulations using this dataset and observations in a typical region confirms its accuracy. Therefore, the dataset can provide model parameters for the study of regional glacier melting process and its impact on water resources and associated glacier disasters in HMA, and can provide necessary data support for further analysis of glacier change and climate change, water resources change and its disaster effects in HMA.
description: The degree-day model, a widely used approach for ice- and snow-melt computation, rests upon a relationship between snow or ice melt and air temperature that is usually expressed in the form of positive temperature. The degree-day factor (DDF) is an important parameter for the model, and its spatial variation largely affects the accuracy of snow- and ice-melt simulations. Across High Mountain Asia (HMA), only a few glaciers have long-term observations over the past decades, leading to be unable to provide necessary parameters for regional melting simulation based on degree-day models. In this study, we collected investigations and observations on 40 glaciers located on different regions in HMA, and estimated the transfer functions for snow and ice DDFs. Then, we obtained the dataset of spatial distributions of DDFs for snow and ice in HMA. These data, with a spatial resolution of 0.5°, were stored in GeoTIFF format in 32-bit floating point. A comparison between regional mass balance simulations using this dataset and observations in a typical region confirms its accuracy. Therefore, the dataset can provide model parameters for the study of regional glacier melting process and its impact on water resources and associated glacier disasters in HMA, and can provide necessary data support for further analysis of glacier change and climate change, water resources change and its disaster effects in HMA.
DOI: 10.57760/sciencedb.755
title: A Long-term Monitoring Dataset of Soil Moisture Content under Different Utilization Modes of Red Soil Slope Land in Taoyuan Agro-ecology Research Station，2004–2014
title: 2004–2014年桃源站红壤坡地不同利用方式下土壤含水量长期监测数据集

description: Soil moisture is an important part of soil, and is the most basic index to understand and study the relationship between plant and soil moisture. It plays a very important role in plant growth, water-saving irrigation and so on. Compared with short-term experiment, long-term observation is a multi-year continuous observation of natural conditions or long-term experimental processing process, reflecting the long-term impact of environmental evolution or human activities. High-quality long-term field monitoring data is particularly valuable. Established in 1995, the long-term positioning experiment of different utilization modes of red soil slope land in Taoyuan Agro-ecology Research Station provided a good condition for long-term observation of the dynamic changes of soil moisture on slopes in red soil hilly areas. This dataset was derived from the five management modes of slopes (farming ecosystem, restoration ecosystem, degraded ecosystem, tea garden ecosystem, citrus orchard system) in different depths (10cm, 20cm, 30cm, 40cm, 50cm, 70cm)by neutron probe method. In order to make better use of these data, this data set adopts CERN unified standard data processing method and quality control system, collates the monthly average data of soil moisture content of five sloping land management modes, and provides sharing service on line.
description: Soil moisture is an important part of soil, and is the most basic index to understand and study the relationship between plant and soil moisture. It plays a very important role in plant growth, water-saving irrigation and so on. Compared with short-term experiment, long-term observation is a multi-year continuous observation of natural conditions or long-term experimental processing process, reflecting the long-term impact of environmental evolution or human activities. High-quality long-term field monitoring data is particularly valuable. Established in 1995, the long-term positioning experiment of different utilization modes of red soil slope land in Taoyuan Agro-ecology Research Station provided a good condition for long-term observation of the dynamic changes of soil moisture on slopes in red soil hilly areas. This dataset was derived from the five management modes of slopes (farming ecosystem, restoration ecosystem, degraded ecosystem, tea garden ecosystem, citrus orchard system) in different depths (10cm, 20cm, 30cm, 40cm, 50cm, 70cm)by neutron probe method. In order to make better use of these data, this data set adopts CERN unified standard data processing method and quality control system, collates the monthly average data of soil moisture content of five sloping land management modes, and provides sharing service on line.
DOI: 10.57760/sciencedb.791
title: A dataset of vulnerability during 1999–2018
title: 1999–2018年安全漏洞数据集

description: Vulnerability is a defect in the design, implementation, or deployment of information systems. Once these defects are exploited and attacked by malicious entities, they will cause damage to the security of the information system, causing heavy losses to users, society, and the state. This study collects the data of vulnerability of popular vulnerability platforms from 1999 to 2018 through the combination of program automation and manual acquisition. The collection of nearly 20 years of data of vulnerability is sliced and formatted to ensure data readability and consistency, thus building a complete dataset of vulnerability. According to the vulnerability platform to which the vulnerability data belongs, the data set is divided into data sets with different sources. Based on the vulnerability data attribute, the total number of entries in the data set containing the vulnerability is counted, including the number of vulnerability entries identified by the CVE and the number of vulnerability entries corresponding to different vulnerability types. The dataset plays an essential role in scientific research, security early warning, and security incident handling. Researchers can use this dataset to conduct corresponding security research; software developers can find out the vulnerabilities of their software by querying this dataset.
description: Vulnerability is a defect in the design, implementation, or deployment of information systems. Once these defects are exploited and attacked by malicious entities, they will cause damage to the security of the information system, causing heavy losses to users, society, and the state. This study collects the data of vulnerability of popular vulnerability platforms from 1999 to 2018 through the combination of program automation and manual acquisition. The collection of nearly 20 years of data of vulnerability is sliced and formatted to ensure data readability and consistency, thus building a complete dataset of vulnerability. According to the vulnerability platform to which the vulnerability data belongs, the data set is divided into data sets with different sources. Based on the vulnerability data attribute, the total number of entries in the data set containing the vulnerability is counted, including the number of vulnerability entries identified by the CVE and the number of vulnerability entries corresponding to different vulnerability types. The dataset plays an essential role in scientific research, security early warning, and security incident handling. Researchers can use this dataset to conduct corresponding security research; software developers can find out the vulnerabilities of their software by querying this dataset.
DOI: 10.57760/sciencedb.865
title: 30-meter Global Mosaic Map of 2018
title: 2018年30米分辨率全球一张图

description: Based on massive ortho-rectified Landsat images, the 30m Global Mosaic Map (One-Map) of 2018 with consistent color is made by several key techniques like semi-automatic data selection, automatic mosaic, color balancing, etc. The data is projected as WGS84 latitude/longitude projection and saved in GeoTiff format. For the convenience of users, the data is also re-tiled and has inner pyramids pre-built. The valid area of One-Map covers all land from 60°S to 80°N except Greenland, and the candidate scene of each Path/Row is the one with lowest cloud cover in growing period or the composed of all scenes in 2018 using the median value. This dataset can serve as a base map since its high geometry precision and great color consistency for applications in Remote Sensing, Virtual Reality, etc.
description: Based on massive ortho-rectified Landsat images, the 30m Global Mosaic Map (One-Map) of 2018 with consistent color is made by several key techniques like semi-automatic data selection, automatic mosaic, color balancing, etc. The data is projected as WGS84 latitude/longitude projection and saved in GeoTiff format. For the convenience of users, the data is also re-tiled and has inner pyramids pre-built. The valid area of One-Map covers all land from 60°S to 80°N except Greenland, and the candidate scene of each Path/Row is the one with lowest cloud cover in growing period or the composed of all scenes in 2018 using the median value. This dataset can serve as a base map since its high geometry precision and great color consistency for applications in Remote Sensing, Virtual Reality, etc.
DOI: 10.57760/sciencedb.933
title: Human footprints dataset of the Qinghai-Tibet Plateau during 1990-2015
title: 1990–2015年青藏高原人类足迹数据集

description: In the Qinghai-Tibet Plateau (QTP); where the ecological system is fragile and sensitive; the increasing human activities have led to a series of ecological and environmental issues and social controversies and aroused much attention in the recent years; especially the construction and operation of the Qinghai-Tibet Railway. The preparation of spatial dataset of human activity intensity is critical to analyze the impact of human activities on the alpine ecosystem of the QTP. Furthermore; it is also very important for regulating human activities and regional sustainable development. In this paper; the human footprint index method was conducted to evaluate the intensity of human activity on QTP; which using six types of spatial data as agents of human activities; including population density; land use; grazing density; night lighting; railway and road. The spatial datasets of human activity intensity were prepared in 1990; 1995; 2000; 2005; 2010 and 2015.
description: In the Qinghai-Tibet Plateau (QTP); where the ecological system is fragile and sensitive; the increasing human activities have led to a series of ecological and environmental issues and social controversies and aroused much attention in the recent years; especially the construction and operation of the Qinghai-Tibet Railway. The preparation of spatial dataset of human activity intensity is critical to analyze the impact of human activities on the alpine ecosystem of the QTP. Furthermore; it is also very important for regulating human activities and regional sustainable development. In this paper; the human footprint index method was conducted to evaluate the intensity of human activity on QTP; which using six types of spatial data as agents of human activities; including population density; land use; grazing density; night lighting; railway and road. The spatial datasets of human activity intensity were prepared in 1990; 1995; 2000; 2005; 2010 and 2015.
DOI: 10.57760/sciencedb.875
title: A dataset of seasonal dynamics of the litter fall production of deciduous broad-leaf forest in the warm temperate zone of Beijing Dongling Mountain (2005–2015)
title: 2005–2015年北京东灵山暖温带落叶阔叶林凋落物回收量季节动态数据集

description: The dataset consists of 1 Excel file, including the 2242 items with the information of litter traps No.，dry weight of dead branches, leaves, fruit (flower), tree bark and total weight were collected. Warm temperate deciduous broad-leaf forest is one of the most typical community types in warm temperate zone. Dongling mountain forest is one of the well-preserved natural secondary forests belonging to this forest type As the main source of soil organic matter and an important factor affecting the soil surface environmental, litters play an important role in the matter circulation and stability maintenance of forest ecosystem. According to the unified specification of Chinese Ecosystem Research Network (CERN), 27 litter traps were installed in the permanent plot to collect the seasonal dynamics of litter recovery in the warm temperate deciduous broad-leaved forest in dongling mountain from 2005 to 2015. The monthly litter dry weight were divided into dead branches, dead leaves, flowers or fruits and also tree bark. The establishment and sharing of the dataset of seasonal dynamics of the littler fall production of deciduous broad-leaf forest in the warm temperate will provide important data support for understanding the nutrient cycling process and carbon cycling mechanism in the ecosystem of warm temperate deciduous and also significance promot the study of vegetation ecology and long-term ecology in China.
description: The dataset consists of 1 Excel file, including the 2242 items with the information of litter traps No.，dry weight of dead branches, leaves, fruit (flower), tree bark and total weight were collected. Warm temperate deciduous broad-leaf forest is one of the most typical community types in warm temperate zone. Dongling mountain forest is one of the well-preserved natural secondary forests belonging to this forest type As the main source of soil organic matter and an important factor affecting the soil surface environmental, litters play an important role in the matter circulation and stability maintenance of forest ecosystem. According to the unified specification of Chinese Ecosystem Research Network (CERN), 27 litter traps were installed in the permanent plot to collect the seasonal dynamics of litter recovery in the warm temperate deciduous broad-leaved forest in dongling mountain from 2005 to 2015. The monthly litter dry weight were divided into dead branches, dead leaves, flowers or fruits and also tree bark. The establishment and sharing of the dataset of seasonal dynamics of the littler fall production of deciduous broad-leaf forest in the warm temperate will provide important data support for understanding the nutrient cycling process and carbon cycling mechanism in the ecosystem of warm temperate deciduous and also significance promot the study of vegetation ecology and long-term ecology in China.