cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.714
title: Evaluation data set for Hainan tourism scenic spots based on social media
title: 基于社交媒体的海南旅游景区评价数据集

description: This paper collected and processed the commentary data of all 4A and 5A scenic spots in Hainan from 2012 to 2018 from social media, and then combined with the statistical data published by Hainan Tourism Development Committee to construct the evaluation data set of Hainan tourism scenic spots. This data set is used for the quality evaluation and personalized recommendation of Hainan tourist attractions, etc. At the same time, we also can combine with other multi-source data to provide data support for the study of tourism development in Hainan Province.
description: This paper collected and processed the commentary data of all 4A and 5A scenic spots in Hainan from 2012 to 2018 from social media, and then combined with the statistical data published by Hainan Tourism Development Committee to construct the evaluation data set of Hainan tourism scenic spots. This data set is used for the quality evaluation and personalized recommendation of Hainan tourist attractions, etc. At the same time, we also can combine with other multi-source data to provide data support for the study of tourism development in Hainan Province.
DOI: 10.57760/sciencedb.721
title: A dataset of impervious surface in Sanya City from 2004 to 2015
title: 2004–2015年三亚市不透水面分布数据集

description: Impervious surface is one of the most basic components of a city which has a significant impact on urban ecological environment and regional development. Remote sensing has been widely used in impervious surface research in recent years due to its fast, large-scale, multi-scale and reproducible ground observation advantages. Taking Sanya city as the research area, this study selected and collected the Landsat series remote sensing image data of 2004, 2008, 2011, 2013 and 2015 in this area. A method combining BCI index and BI index is proposed to extract the impervious surface information in the study area. Based on this method, the impervious surface distribution maps of the five phases of Sanya City in 2004, 2008, 2011, 2013 and 2015 were obtained. Precision verification using Google Earth images which have high accuracy. It was concluded that this method is operability, simple and easy operation,the highest precision is over 90%. This dataset can provide reference for the rational planning of “sponge city” in Hainan Province or other provinces and cities.
description: Impervious surface is one of the most basic components of a city which has a significant impact on urban ecological environment and regional development. Remote sensing has been widely used in impervious surface research in recent years due to its fast, large-scale, multi-scale and reproducible ground observation advantages. Taking Sanya city as the research area, this study selected and collected the Landsat series remote sensing image data of 2004, 2008, 2011, 2013 and 2015 in this area. A method combining BCI index and BI index is proposed to extract the impervious surface information in the study area. Based on this method, the impervious surface distribution maps of the five phases of Sanya City in 2004, 2008, 2011, 2013 and 2015 were obtained. Precision verification using Google Earth images which have high accuracy. It was concluded that this method is operability, simple and easy operation,the highest precision is over 90%. This dataset can provide reference for the rational planning of “sponge city” in Hainan Province or other provinces and cities.
DOI: 10.57760/sciencedb.732
title: Atmospheric nitrogen deposition in a typical agricultural-ecosystem of the central Sichuan Basin of China (2008–2013)
title: 2008–2013年川中丘陵区典型农田生态系统大气氮沉降数据集

description: As a crucial process of the nitrogen biogeochemical cycle, atmospheric nitrogen (N) deposition brings organic and inorganic nitrogen into the ecosystem in the form of dry and wet (rainfall) depositions. A most straightforward and effective way to reveal components and spatiotemporal pattern of the atmospheric nitrogen deposition and its influencing factors is to monitor the depositions in a region or typical ecosystem. As part of CERN and CNERN, Yanting Station is a fundamental, public-welfare platform for agricultural ecosystem experimentation and observation oriented towards the subtropical purple soil area of Sichuan Basin. The station has started its observation of dry and wet atmospheric deposition since 2008. This dataset includes the monthly average concentration and volume of wet nitrogen deposition in 2008-2013, and the monthly average rate, concentration, volume and rate of dry nitrogen deposition in 2011-2013. This dataset not only helps understand air pollution by reactive nitrogen, but also provides statistical support for assessing local input of environmental nutrients by nitrogen deposition and its impact on ecological environment.
description: As a crucial process of the nitrogen biogeochemical cycle, atmospheric nitrogen (N) deposition brings organic and inorganic nitrogen into the ecosystem in the form of dry and wet (rainfall) depositions. A most straightforward and effective way to reveal components and spatiotemporal pattern of the atmospheric nitrogen deposition and its influencing factors is to monitor the depositions in a region or typical ecosystem. As part of CERN and CNERN, Yanting Station is a fundamental, public-welfare platform for agricultural ecosystem experimentation and observation oriented towards the subtropical purple soil area of Sichuan Basin. The station has started its observation of dry and wet atmospheric deposition since 2008. This dataset includes the monthly average concentration and volume of wet nitrogen deposition in 2008-2013, and the monthly average rate, concentration, volume and rate of dry nitrogen deposition in 2011-2013. This dataset not only helps understand air pollution by reactive nitrogen, but also provides statistical support for assessing local input of environmental nutrients by nitrogen deposition and its impact on ecological environment.
DOI: 10.57760/sciencedb.740
title: Ship-mounted ADCP dataset of scientific investigation over the South China Sea (2009 – 2012)
title: 2009–2012年南海海洋断面科学考察走航ADCP海流观测数据集

description: The longitude and latitude, observation layer, East component, North component, current velocity, flow direction and probe temperature data were collected by using ship-mounted Ocean Surveyor 38kHz (OS38) and Vessel-Mounted 300kHz (VM300) Acoustic Doppler Current Profilers (ADCP) during the four cruises of Scientific investigation over the South China Sea from 2009 to 2012. The observation data is exported by WinADCP software of ADCP, and the data sets is formed by quality control means such as system error correction and routine test. The dataset provides basic information for marine theory research, tropical marine environment research, marine resources development and utilization, and other industries.
description: The longitude and latitude, observation layer, East component, North component, current velocity, flow direction and probe temperature data were collected by using ship-mounted Ocean Surveyor 38kHz (OS38) and Vessel-Mounted 300kHz (VM300) Acoustic Doppler Current Profilers (ADCP) during the four cruises of Scientific investigation over the South China Sea from 2009 to 2012. The observation data is exported by WinADCP software of ADCP, and the data sets is formed by quality control means such as system error correction and routine test. The dataset provides basic information for marine theory research, tropical marine environment research, marine resources development and utilization, and other industries.
DOI: 10.57760/sciencedb.796
title: Checklist of Vascular Plants in Shannan Prefecture, Tibet Autonomous
title: 西藏自治区山南地区维管植物名录

description: From 2017 to 2018, the State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, CAS, and the Tibetan Grass Research Institute, Xizang Z-grass Ecology and Technology Co., Ltd. made investigation on vascular plants in Shannan prefecture, Tibet Autonomous Region. More than 2 955 specimens were collected in this investigation. According to the identification records of these specimens and the specimens collected in Shannan prefecture in the National Herbarium of Botany (PE), a checklist of vascular plants in Shannan prefecture, Tibet Autonomous Region was made, containing 990 species (including subspecific grades) with 98 families and 370 genera.
description: From 2017 to 2018, the State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, CAS, and the Tibetan Grass Research Institute, Xizang Z-grass Ecology and Technology Co., Ltd. made investigation on vascular plants in Shannan prefecture, Tibet Autonomous Region. More than 2 955 specimens were collected in this investigation. According to the identification records of these specimens and the specimens collected in Shannan prefecture in the National Herbarium of Botany (PE), a checklist of vascular plants in Shannan prefecture, Tibet Autonomous Region was made, containing 990 species (including subspecific grades) with 98 families and 370 genera.
DOI: 10.57760/sciencedb.805
title: A species composition dataset of a typical subtropical mixed evergreen and deciduous broad-leaved forest in karst ecosystem (2014)
title: 2014年亚热带喀斯特常绿落叶阔叶混交林物种组成数据集

description: The subtropical mixed evergreen-deciduous broad-leaved forest in karst, where Mulun National Nature Reserve of Guangxi lies, is the best preserved, largest and most representative karst forest of subtropical azonality in the world. The plant resources inventory and research on their biodiversity maintenance mechanism are of great significance to the reconstruction of degraded ecosystem in rocky desertification area. This dataset records and collects the information on species composition in 2014, with subtropical mixed evergreen and deciduous broad-leaved forest in 25 ha forest dynamic monitoring plot of Mulun National Nature Reserve of Guangxi, including scientific name of species, abundance, importance value, leaf habit, and species distribution, containing 227 species in 147 genera, 61 families. This dataset is useful to accumulate scientific data on the dynamic characteristics of the subtropical mixed evergreen-deciduous broad-leaved forest in karst, and to enrich the study of long-term vegetation ecology in China.
description: The subtropical mixed evergreen-deciduous broad-leaved forest in karst, where Mulun National Nature Reserve of Guangxi lies, is the best preserved, largest and most representative karst forest of subtropical azonality in the world. The plant resources inventory and research on their biodiversity maintenance mechanism are of great significance to the reconstruction of degraded ecosystem in rocky desertification area. This dataset records and collects the information on species composition in 2014, with subtropical mixed evergreen and deciduous broad-leaved forest in 25 ha forest dynamic monitoring plot of Mulun National Nature Reserve of Guangxi, including scientific name of species, abundance, importance value, leaf habit, and species distribution, containing 227 species in 147 genera, 61 families. This dataset is useful to accumulate scientific data on the dynamic characteristics of the subtropical mixed evergreen-deciduous broad-leaved forest in karst, and to enrich the study of long-term vegetation ecology in China.
DOI: 10.57760/sciencedb.866
title: Meteorological and radiant dataset observed by Sanjiang Plain Experimental Station of Wetland Ecology, Chinese Academy of Sciences during 2009 – 2018
title: 2009-2018年中国科学院三江平原沼泽湿地生态试验站气象辐射数据集

description: Climate is the main driving factor of wetland development and the controlling factor of wetland formation and different characteristics. The Sanjiang Plain Experimental Station of Wetland Ecology, Chinese Academy of Sciences, is a basic station of Chinese Ecosystem Research Network (CERN) and the National Field Science Observation and Research Station. The Sanjiang Plain, where Sanjiang Station is located, is the largest distribution area of freshwater wetlands in China and one of the most sensitive areas of global change. The Sanjiang Plain is quite typical and representative in the global temperate wetland ecosystem and it is also an important production base of China’s national commodity grain. At present, the published long-term time series of meteorological and radiant data of the Sanjiang Plain is quite limited. Therefore, based on the automatic weather observation system of Vaisala (Finland) in Sanjiang Station Meteorological Observation Field, this paper reports a 10-year (2009–2018) meteorological and radiant data with 14 tables of 102 KB after data collection and processing, data quality control and evaluation, to hopefully provide important data accumulation and technical support for the national food security and regional ecological security.
description: Climate is the main driving factor of wetland development and the controlling factor of wetland formation and different characteristics. The Sanjiang Plain Experimental Station of Wetland Ecology, Chinese Academy of Sciences, is a basic station of Chinese Ecosystem Research Network (CERN) and the National Field Science Observation and Research Station. The Sanjiang Plain, where Sanjiang Station is located, is the largest distribution area of freshwater wetlands in China and one of the most sensitive areas of global change. The Sanjiang Plain is quite typical and representative in the global temperate wetland ecosystem and it is also an important production base of China’s national commodity grain. At present, the published long-term time series of meteorological and radiant data of the Sanjiang Plain is quite limited. Therefore, based on the automatic weather observation system of Vaisala (Finland) in Sanjiang Station Meteorological Observation Field, this paper reports a 10-year (2009–2018) meteorological and radiant data with 14 tables of 102 KB after data collection and processing, data quality control and evaluation, to hopefully provide important data accumulation and technical support for the national food security and regional ecological security.
DOI: 10.57760/sciencedb.876
title: A dataset of water environment survey in the Poyang Lake from 2013 to 2018
title: 2013–2018年鄱阳湖水环境监测数据集

description: The dataset in this paper was sampled from the quality results of the surveys on the water of the Poyang Lake conducted by the Poyang Lake Wetland Observation and Research Station of the Chinese Academy of Sciences in January, April, July and October from 2013 to 2018. We described the procedure and methods of water sampling, laboratory tests and data quality control. It reflects the seasonal and interannual changes of water quality in Poyang Lake in recent years, and contributes to scientific research, project application and decision-making efforts for lake water environmental protection. The dataset consists of physical and water chemical parameters. We measured the physical parameters on the spot by portable water quality analyzer. Water chemical parameters, such as total nitrogen, total phosphorus and ammonia nitrogen, were measured by Shimadzu UV-2450 UV spectrophotometer, and CODMn was measured by means of acid burette titration.
description: The dataset in this paper was sampled from the quality results of the surveys on the water of the Poyang Lake conducted by the Poyang Lake Wetland Observation and Research Station of the Chinese Academy of Sciences in January, April, July and October from 2013 to 2018. We described the procedure and methods of water sampling, laboratory tests and data quality control. It reflects the seasonal and interannual changes of water quality in Poyang Lake in recent years, and contributes to scientific research, project application and decision-making efforts for lake water environmental protection. The dataset consists of physical and water chemical parameters. We measured the physical parameters on the spot by portable water quality analyzer. Water chemical parameters, such as total nitrogen, total phosphorus and ammonia nitrogen, were measured by Shimadzu UV-2450 UV spectrophotometer, and CODMn was measured by means of acid burette titration.
DOI: 10.57760/sciencedb.921
title: A spatial and temporal dataset of atmospheric inorganic nitrogen dry deposition in China (2006-2015)
title: 2006–2015年中国大气无机氮干沉降时空格局数据集

description: Dry deposition is an important component of atmospheric nitrogen (N) deposition; which have considerable effects on contracture and functions of ecosystems. Because of the complexity of dry deposition and the difficulty of observation technologies; there were few monitoring stations in short-term for dry deposition observation in China. Therefore; how to get a spatial pattern dataset with high resolution and long-term for dry deposition is key to evaluate their ecological effects on ecosystems to China. Based on the ground monitoring data of dry deposition and remote sensing data of NO2 and NH3; we constructed remote sensing statistical models for different species of dry deposition; then the spatial dataset of dry deposition during 2006-2010 and 2011-2015 in China was generated. The dataset includes particulate NH4+; NO3-; gaseous NO2; HNO3; NH3; and total dry N deposition; with spatial resolution of 10 km×10 km in tiff format. This dataset is the first openly dry N deposition based on ground monitoring data in China; which can provide basic data for assessing their ecological and environmental effects and support the policy-making for N management.
description: Dry deposition is an important component of atmospheric nitrogen (N) deposition; which have considerable effects on contracture and functions of ecosystems. Because of the complexity of dry deposition and the difficulty of observation technologies; there were few monitoring stations in short-term for dry deposition observation in China. Therefore; how to get a spatial pattern dataset with high resolution and long-term for dry deposition is key to evaluate their ecological effects on ecosystems to China. Based on the ground monitoring data of dry deposition and remote sensing data of NO2 and NH3; we constructed remote sensing statistical models for different species of dry deposition; then the spatial dataset of dry deposition during 2006-2010 and 2011-2015 in China was generated. The dataset includes particulate NH4+; NO3-; gaseous NO2; HNO3; NH3; and total dry N deposition; with spatial resolution of 10 km×10 km in tiff format. This dataset is the first openly dry N deposition based on ground monitoring data in China; which can provide basic data for assessing their ecological and environmental effects and support the policy-making for N management.
DOI: 10.57760/sciencedb.73
title: Datasets for Science paper: Improvements in ecosystem services from investments in natural capital
title: Datasets for Science paper: Improvements in ecosystem services from investments in natural capital

description: In response to ecosystem degradation from rapid economic development, China began investing heavily in protecting and restoring natural capital starting in 2000. We report on China’s first national ecosystem assessment 2000–2010, designed to quantify and help manage change in ecosystem services, including food production, carbon sequestration, soil retention, sandstorm prevention, water retention, flood mitigation, and provision of habitat for biodiversity. Overall, ecosystem services improved from 2000 to 2010, apart from habitat provision. China’s national conservation policies contributed significantly to the increases in those ecosystem services.
description: In response to ecosystem degradation from rapid economic development, China began investing heavily in protecting and restoring natural capital starting in 2000. We report on China’s first national ecosystem assessment 2000–2010, designed to quantify and help manage change in ecosystem services, including food production, carbon sequestration, soil retention, sandstorm prevention, water retention, flood mitigation, and provision of habitat for biodiversity. Overall, ecosystem services improved from 2000 to 2010, apart from habitat provision. China’s national conservation policies contributed significantly to the increases in those ecosystem services.
DOI: 10.57760/sciencedb.725
title: Value-added Landsat image data of Hainan Island from 1970 to 2017
title: 1970–2017年海南岛Landsat系列卫星遥感深加工数据集

description: Since its establishment as Hainan Special Economic Zone, Hainan Island has achieved great development in urbanization and great changes have taken place in the natural environment. In recent years, many policies have been put forward for the construction of Hainan Island, such like Hainan International Tourism Island Construction, Maritime Silk Road and the ASEAN strategy. In this situation, the long time-sequence, high-quality satellite remote sensing data sets provide important reference to Urban Construction, Environmental Protection, Agricultural Planning, and Ecotourism. In order to learn the changes of Hainan Island, in macroscope perspective, and understand the evolution of its natural resources, since the establishment of the special economic zone, this study selected the cloudless or less cloudy Landsat series satellite remote sensing images from 1970 to 2017. Through the deep processing service system, we obtained five images which can cover the entire island of Hainan in 1970, 1988, 1998, 2008 and 2017. And the main jobs included image registration, projection conversion, band fusion and image mosaicking. With less cloud influence, this product has a large time span and can be used for scientifically analyzing the temporal and spatial changes of Hainan Island over the past 40 years, as well as in industrial application monitoring and government macro decision.
description: Since its establishment as Hainan Special Economic Zone, Hainan Island has achieved great development in urbanization and great changes have taken place in the natural environment. In recent years, many policies have been put forward for the construction of Hainan Island, such like Hainan International Tourism Island Construction, Maritime Silk Road and the ASEAN strategy. In this situation, the long time-sequence, high-quality satellite remote sensing data sets provide important reference to Urban Construction, Environmental Protection, Agricultural Planning, and Ecotourism. In order to learn the changes of Hainan Island, in macroscope perspective, and understand the evolution of its natural resources, since the establishment of the special economic zone, this study selected the cloudless or less cloudy Landsat series satellite remote sensing images from 1970 to 2017. Through the deep processing service system, we obtained five images which can cover the entire island of Hainan in 1970, 1988, 1998, 2008 and 2017. And the main jobs included image registration, projection conversion, band fusion and image mosaicking. With less cloud influence, this product has a large time span and can be used for scientifically analyzing the temporal and spatial changes of Hainan Island over the past 40 years, as well as in industrial application monitoring and government macro decision.