cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.580
title: A dataset of glacier distribution and glacier changes in the Kangri Karpo Mountains during 1980-2015
title: 1980-2015年岗日嘎布地区冰川分布数据集

description: Located in the south-eastern of the Tibetan Plateau, the Kangri Karpo Mountains extents about 280 km from north-west to south-east, south of Bomê County and near Motuo, Zayü and Basu counties. The spatial extent of study area is 29°00′N ~ 29°30′N、96°20′E ~ 97°00′E. The Kangri Karpo Mountains is one of the most important and concentrated regions of maritime (temperate) glacier development, the area change of glaciers have important influence on local and regional water resources. The 1980-2015 Kangri Karpo glacier datasets was developed by integrating several data sources: the Glacier Inventory Dataset produced in the 1980s by the Chinese Academy of Sciences Cold and Arid Regions Environmental and Engineering Research Institute, the Topographic Maps and aerial photographs in 1980 and Landsat images in 2001, 2002 and 2015. The data processing was completed using ArcGIS and ENVI software to combine bands, do data design and perform manual visual interpretation and band ratio segmentation. Two sub-datasets are provided: ① extent of the study region in shapefile format, and ② glacier outlines in shapefile format. The dataset reflects the glacier’s changing boundaries from 1980-2015, and can be used for research on the glacier changes and climate changes over the south-eastern of the Tibetan Plateau.
description: Located in the south-eastern of the Tibetan Plateau, the Kangri Karpo Mountains extents about 280 km from north-west to south-east, south of Bomê County and near Motuo, Zayü and Basu counties. The spatial extent of study area is 29°00′N ~ 29°30′N、96°20′E ~ 97°00′E. The Kangri Karpo Mountains is one of the most important and concentrated regions of maritime (temperate) glacier development, the area change of glaciers have important influence on local and regional water resources. The 1980-2015 Kangri Karpo glacier datasets was developed by integrating several data sources: the Glacier Inventory Dataset produced in the 1980s by the Chinese Academy of Sciences Cold and Arid Regions Environmental and Engineering Research Institute, the Topographic Maps and aerial photographs in 1980 and Landsat images in 2001, 2002 and 2015. The data processing was completed using ArcGIS and ENVI software to combine bands, do data design and perform manual visual interpretation and band ratio segmentation. Two sub-datasets are provided: ① extent of the study region in shapefile format, and ② glacier outlines in shapefile format. The dataset reflects the glacier’s changing boundaries from 1980-2015, and can be used for research on the glacier changes and climate changes over the south-eastern of the Tibetan Plateau.
DOI: 10.57760/sciencedb.597
title: 2009年贡嘎山海螺沟冰川表碛空间分布数据集
title: 2009年贡嘎山海螺沟冰川表碛空间分布数据集

description: 冰川消融区表碛厚度空间分布对一条冰川的消融、物质平衡和径流过程的影响有别于无表碛覆盖型冰川。然而，青藏高原及周边地区仅少数冰川有表碛厚度的实测资料，导致区域表碛影响尚不清楚。海螺沟冰川是一条典型的表碛覆盖型冰川，位于青藏高原东南缘贡嘎山东坡。本研究基于ASTER影像的可见光近红外、热红外波段和太阳辐射数据，获取了海螺沟冰川消融区表碛层热阻系数数据集（GeoTIFF格式，32位浮点型），空间分辨率为90m，用其作为消融区表碛厚度空间分布的代用指标。通过对比ASTER反演的表碛层热阻系数和冰川区表碛厚度实测资料发现，表碛层热阻系数的空间分布与表碛厚度实测分布趋势较为一致。本数据集可作为发展基于物理机制的表碛覆盖下冰川消融模型的驱动数据，同时为实现青藏高原及周边地区表碛覆盖型冰川区表碛影响的系统评估提供数据支持。
description: 冰川消融区表碛厚度空间分布对一条冰川的消融、物质平衡和径流过程的影响有别于无表碛覆盖型冰川。然而，青藏高原及周边地区仅少数冰川有表碛厚度的实测资料，导致区域表碛影响尚不清楚。海螺沟冰川是一条典型的表碛覆盖型冰川，位于青藏高原东南缘贡嘎山东坡。本研究基于ASTER影像的可见光近红外、热红外波段和太阳辐射数据，获取了海螺沟冰川消融区表碛层热阻系数数据集（GeoTIFF格式，32位浮点型），空间分辨率为90m，用其作为消融区表碛厚度空间分布的代用指标。通过对比ASTER反演的表碛层热阻系数和冰川区表碛厚度实测资料发现，表碛层热阻系数的空间分布与表碛厚度实测分布趋势较为一致。本数据集可作为发展基于物理机制的表碛覆盖下冰川消融模型的驱动数据，同时为实现青藏高原及周边地区表碛覆盖型冰川区表碛影响的系统评估提供数据支持。
DOI: 10.57760/sciencedb.544
title: 2009-2015广东低碳农业绩效水平测度数据集
title: 2009-2015广东低碳农业绩效水平测度数据集

description: 数据集由4部分数据组成，其一是2009～2015年广东省种植业碳排放量数据，其二是2009～2015年广东省畜牧业碳排放量数据，其三是2009～2015年广东省农业碳排放强度数据，其四是2009～2015年广东省低碳农业绩效水平数据。
description: 数据集由4部分数据组成，其一是2009～2015年广东省种植业碳排放量数据，其二是2009～2015年广东省畜牧业碳排放量数据，其三是2009～2015年广东省农业碳排放强度数据，其四是2009～2015年广东省低碳农业绩效水平数据。
DOI: 10.57760/sciencedb.603
title: A dataset of carbon density in Chinese terrestrial ecosystems (2010s)
title: 2010s中国陆地生态系统碳密度数据集

description: As a major player in the carbon pool of the global terrestrial ecosystem, China contributes considerably to the global carbon cycle in terms of both carbon emission and uptake. We collected data on carbon density in Chinese terrestrial ecosystems from literature published during 2004 and 2014 and combined them with relevant experimental data of the same period to build a comprehensive and systematic dataset of vegetation and soil organic carbon density in China. The dataset encompasses forest, grassland, cropland, shrub, and wetland ecosystems in China, and contains carbon density data of major components, including aboveground biomass, underground biomass and soil organic carbon density for different soil depths (0–20 cm and 0–100 cm). The dataset lays valuable scientific foundation for assessments of regional carbon stocks and ecosystem quality, and provides basic data for ecological model optimization.
description: As a major player in the carbon pool of the global terrestrial ecosystem, China contributes considerably to the global carbon cycle in terms of both carbon emission and uptake. We collected data on carbon density in Chinese terrestrial ecosystems from literature published during 2004 and 2014 and combined them with relevant experimental data of the same period to build a comprehensive and systematic dataset of vegetation and soil organic carbon density in China. The dataset encompasses forest, grassland, cropland, shrub, and wetland ecosystems in China, and contains carbon density data of major components, including aboveground biomass, underground biomass and soil organic carbon density for different soil depths (0–20 cm and 0–100 cm). The dataset lays valuable scientific foundation for assessments of regional carbon stocks and ecosystem quality, and provides basic data for ecological model optimization.
DOI: 10.57760/sciencedb.632
title: A dataset of drought indices based on the standardized precipitation evapotranspiration index (SPEI) over the Xinjiang, China (1961 – 2015)
title: 1961～2015年新疆区域SPEI干旱指数数据集

description: The province of Xinjiang is located in the Eurasian hinterland in northwestern China, with the complex terrain, and fragile ecological environment. Xinjiang is particularly sensitive to global warming. With the global warming, drought over Xinjiang has caused extensive attention. Based on the daily temperature and precipitation observed at 55 meteorological stations over the Xinjiang during 1961 – 2015, this study calculated a series of drought indices based on the Standardized Precipitation Evapotranspiration Index (SPEI). The SPEI was calculated for each station with time scales of 1, 3, 6, 12, 24 and 48 months selected for analysis. This dataset is useful for research on the change trend and spatial-temporal characteristics of drought events over the Xinjiang. When used together with regional statistical data, this dataset can also reveal the impacts of drought on agricultural production and eco-hydrological environment.
description: The province of Xinjiang is located in the Eurasian hinterland in northwestern China, with the complex terrain, and fragile ecological environment. Xinjiang is particularly sensitive to global warming. With the global warming, drought over Xinjiang has caused extensive attention. Based on the daily temperature and precipitation observed at 55 meteorological stations over the Xinjiang during 1961 – 2015, this study calculated a series of drought indices based on the Standardized Precipitation Evapotranspiration Index (SPEI). The SPEI was calculated for each station with time scales of 1, 3, 6, 12, 24 and 48 months selected for analysis. This dataset is useful for research on the change trend and spatial-temporal characteristics of drought events over the Xinjiang. When used together with regional statistical data, this dataset can also reveal the impacts of drought on agricultural production and eco-hydrological environment.
DOI: 10.57760/sciencedb.646
title: Land cover data of Qingtongxia in 2005 and 2010
title: 宁夏青铜峡2005年、2010年土地覆被数据

description: The data set is 1:700000 land cover data of Qingtongxia in 2005 and 2010 in Ningxia Hui Autonomous Region. This data uses a hierarchical land cover classification system. The first class of the classification system is consistent with the IPCC system, and there are six categories (forest land, grassland, wetland, cultivated land, artificial surface, and others). The second class uses a globally unified code type generated by the LCCs of FAO. Based on ecognition software platform, the method of object-oriented computer automatic classification and manual visual interpretation is used to extract the land cover data in the study area. Finally, the data accuracy is verified by field sample point survey, high-resolution image recognition and Google Earth sample point recognition. This data can be used as the background data of regional ecological environment assessment, as well as the basic data of regional planning, climate change research, environmental modeling, biodiversity and ecosystem carbon storage research.
description: The data set is 1:700000 land cover data of Qingtongxia in 2005 and 2010 in Ningxia Hui Autonomous Region. This data uses a hierarchical land cover classification system. The first class of the classification system is consistent with the IPCC system, and there are six categories (forest land, grassland, wetland, cultivated land, artificial surface, and others). The second class uses a globally unified code type generated by the LCCs of FAO. Based on ecognition software platform, the method of object-oriented computer automatic classification and manual visual interpretation is used to extract the land cover data in the study area. Finally, the data accuracy is verified by field sample point survey, high-resolution image recognition and Google Earth sample point recognition. This data can be used as the background data of regional ecological environment assessment, as well as the basic data of regional planning, climate change research, environmental modeling, biodiversity and ecosystem carbon storage research.
DOI: 10.57760/sciencedb.660
title: Passive microwave remote sensing snow water equivalent data set in high Asia
title: 亚洲高山区被动微波遥感雪水当量数据集

description: High Asia is a high-altitude region in Asia dominated by the Qinghai-Tibet Plateau. It is an important distribution area for snow in the middle and low latitudes. The dynamic changes of snow cover have an important impact on the water and energy cycle, climate and environmental changes in the region. Snow-covered snow water equivalent (SWE) products (such as ESA GlobSnow), which are widely used around the world, have data vacancies in high Asia, and some global algorithms are generally overestimated in high Asia. Based on the AMSR-E brightness temperature data, this data is based on the NASA standard algorithm and the improved algorithm of the Qinghai-Tibet Plateau with different underlying surfaces. Two sets of ASMR-E snow-water equivalent data sets from 2002 to 2011 in the Qinghai-Tibet Plateau were produced. The improved algorithm is verified and evaluated by the measured snow depth of the ground meteorological station, indicating that the accuracy of the improved algorithm of the Qinghai-Tibet Plateau has improved. In addition, the paper also comprehensively processes the SWE products based on MODIS daily cloud-free snow cover products and NASA snow algorithm and obtains a set of comprehensive data sets of microwave and optical snow water equivalents from 2003 to 2011. The three sets of snow water equivalent product data sets provide basic data support for scientific research in climate change, water, energy balance, environmental change and water use in high Asia.
description: High Asia is a high-altitude region in Asia dominated by the Qinghai-Tibet Plateau. It is an important distribution area for snow in the middle and low latitudes. The dynamic changes of snow cover have an important impact on the water and energy cycle, climate and environmental changes in the region. Snow-covered snow water equivalent (SWE) products (such as ESA GlobSnow), which are widely used around the world, have data vacancies in high Asia, and some global algorithms are generally overestimated in high Asia. Based on the AMSR-E brightness temperature data, this data is based on the NASA standard algorithm and the improved algorithm of the Qinghai-Tibet Plateau with different underlying surfaces. Two sets of ASMR-E snow-water equivalent data sets from 2002 to 2011 in the Qinghai-Tibet Plateau were produced. The improved algorithm is verified and evaluated by the measured snow depth of the ground meteorological station, indicating that the accuracy of the improved algorithm of the Qinghai-Tibet Plateau has improved. In addition, the paper also comprehensively processes the SWE products based on MODIS daily cloud-free snow cover products and NASA snow algorithm and obtains a set of comprehensive data sets of microwave and optical snow water equivalents from 2003 to 2011. The three sets of snow water equivalent product data sets provide basic data support for scientific research in climate change, water, energy balance, environmental change and water use in high Asia.
DOI: 10.57760/sciencedb.681
title: A dataset of forest disturbance on the site of Huangshan Natural and Cultural Heritage, 1988 – 2017
title: 1988–2017年黄山自然与文化遗产地森林扰动数据集

description: Based on the google earth engine (GEE)- cloud computing platform, it extracts the annual forest disturbance changes for 30 years by using the data of 30 landsat 5, landsat 7, landsat 8 in 1988-2017 for online batch processing with the forest disturbance extraction algorithm. It can obtain long-term sequence of Huangshan natural and cultural heritage sites annual forest change and disturbance type dataset by using process-based processing, then using GEE cloud platform and ArcGIS10.5 software for fine mapping and result statistics. This dataset can be used for the analysis of temporal and spatial changes of forests in Huangshan heritage sites、the monitor of the elements of heritage sites and the sustainable development of heritage sites; it can clearly reflect the changing characteristics of Huangshan natural heritage sites under the long-term sequence monitoring.
description: Based on the google earth engine (GEE)- cloud computing platform, it extracts the annual forest disturbance changes for 30 years by using the data of 30 landsat 5, landsat 7, landsat 8 in 1988-2017 for online batch processing with the forest disturbance extraction algorithm. It can obtain long-term sequence of Huangshan natural and cultural heritage sites annual forest change and disturbance type dataset by using process-based processing, then using GEE cloud platform and ArcGIS10.5 software for fine mapping and result statistics. This dataset can be used for the analysis of temporal and spatial changes of forests in Huangshan heritage sites、the monitor of the elements of heritage sites and the sustainable development of heritage sites; it can clearly reflect the changing characteristics of Huangshan natural heritage sites under the long-term sequence monitoring.
DOI: 10.57760/sciencedb.663
title: Remote sensing images of land cover types in China
title: 全国地表类型遥感影像样本数据集

description: The dataset consists of remoting sensing images with meter- and ten-meter-level spatial resolutions, covering land cover types of soil, water body, rock, vegetation, snow and ice, and man-made objects. It comprises 118 324 ten-meter-level image samples and 29 551 meter-level image samples, with each sample made up of four kinds of data files, including an original satellite image file of the sample (*.tif), a sample preview image file (*.jpg), a text file of DN values of different spectral bands (*.txt), and a metadata file (*.xml).
description: The dataset consists of remoting sensing images with meter- and ten-meter-level spatial resolutions, covering land cover types of soil, water body, rock, vegetation, snow and ice, and man-made objects. It comprises 118 324 ten-meter-level image samples and 29 551 meter-level image samples, with each sample made up of four kinds of data files, including an original satellite image file of the sample (*.tif), a sample preview image file (*.jpg), a text file of DN values of different spectral bands (*.txt), and a metadata file (*.xml).
DOI: 10.57760/sciencedb.693
title: 基于无人机数据的林分冠幅面积提取数据库
title: 基于无人机数据的林分冠幅面积提取数据库

description: 福建省森林覆盖率高，地势复杂，以针叶林为主，多为郁闭度较高的林分，获取林分参数是一个难点。本数据库基于Ecognition9.2软件对无人机影像进行多层次影像分类，对分割后的特征进行特征选择，对林分冠幅面积进行自动化提取，并与人工解译的结果进行比较分析
description: 福建省森林覆盖率高，地势复杂，以针叶林为主，多为郁闭度较高的林分，获取林分参数是一个难点。本数据库基于Ecognition9.2软件对无人机影像进行多层次影像分类，对分割后的特征进行特征选择，对林分冠幅面积进行自动化提取，并与人工解译的结果进行比较分析
DOI: 10.57760/sciencedb.7
title: A dataset of plants traditionally usedby indigenous people in Xishuangbanna
title: 西双版纳民间传统利用植物信息数据集

description: Civil plant using traditional knowledge is the main content of ethnobotany can provide important references for excavation and protection of plant resources. Xishuangbanna is the home of ethnobotanical research in China, research achievements, considerable national and regional characteristics, but have not been systematic. This data set through collection national Botany research introduced China 30 years to public published of the area national Botany papers, filter out literature in the of national Botany catalog information, through Botany school are and amendment, and catalog information merge and integration, processing, formed covers West double Banna 8 a minority traditional using plant 1,071 species (containing algae and fungi) of information data set, main including plant of scientific name, and place name, and specific uses, and using parts, and processing method and corresponding national, information, Showcasing the region's national plant resources and utilization of traditional knowledge. The DataSet is expected to provide an in-depth understanding and carry out ethnobotanical research provided data supporting the Xishuangbanna area.
description: Civil plant using traditional knowledge is the main content of ethnobotany can provide important references for excavation and protection of plant resources. Xishuangbanna is the home of ethnobotanical research in China, research achievements, considerable national and regional characteristics, but have not been systematic. This data set through collection national Botany research introduced China 30 years to public published of the area national Botany papers, filter out literature in the of national Botany catalog information, through Botany school are and amendment, and catalog information merge and integration, processing, formed covers West double Banna 8 a minority traditional using plant 1,071 species (containing algae and fungi) of information data set, main including plant of scientific name, and place name, and specific uses, and using parts, and processing method and corresponding national, information, Showcasing the region's national plant resources and utilization of traditional knowledge. The DataSet is expected to provide an in-depth understanding and carry out ethnobotanical research provided data supporting the Xishuangbanna area.
DOI: 10.57760/sciencedb.712
title: A multi-source spatiotemporal dataset of floods in Chengdu (2018)
title: 2018成都洪涝灾害多源时空数据集

description: With the continuous development of disaster prevention, mitigation and relief means, disaster-related data are becoming increasingly effective and extensive. In flood events, traditional remote sensing images, terrestrial GIS data, and socio-economic development data are widely recognized as the major sources of disaster data. In the meantime, social media data emerged as a "mobile sensor" of disasters, which have been widely used for its extensive participation and multi-source dissemination. Based on the concept of multi-source spatiotemporal data fusion, this paper collects and collates river situation data, remote sensing images, Sina Weibo data, terrain condition and socio-economic development data of the region in different periods in the flood event. On the basis of traditional disaster data, this study engages a public perspective of the disaster area to show the impact of flood disaster and the progress of the disaster, which provides complete and effective data support for subsequent flood risk zoning, flooding range modeling and disaster assessment.
description: With the continuous development of disaster prevention, mitigation and relief means, disaster-related data are becoming increasingly effective and extensive. In flood events, traditional remote sensing images, terrestrial GIS data, and socio-economic development data are widely recognized as the major sources of disaster data. In the meantime, social media data emerged as a "mobile sensor" of disasters, which have been widely used for its extensive participation and multi-source dissemination. Based on the concept of multi-source spatiotemporal data fusion, this paper collects and collates river situation data, remote sensing images, Sina Weibo data, terrain condition and socio-economic development data of the region in different periods in the flood event. On the basis of traditional disaster data, this study engages a public perspective of the disaster area to show the impact of flood disaster and the progress of the disaster, which provides complete and effective data support for subsequent flood risk zoning, flooding range modeling and disaster assessment.