cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.j00001.00123
title: An observation dataset of carbon and water fluxes in Xishuangbanna rubber plantations from 2010 to 2014
title: 2010–2014年西双版纳橡胶林碳水通量观测数据集

description: From June 2010 to December 2014, the observation data of rubber plantations in Xishuangbanna were divided into conventional meteorological data (air temperature, air relative humidity, water vapor pressure, wind speed, wind direction, atmospheric pressure, total solar radiation, net radiation, photosynthetic effective radiation, soil temperature, soil moisture, precipitation) and flux data (net ecosystem production) in Xishuangbanna from June 2010 to December 2014 The results showed that there was no significant difference in the total primary productivity, latent heat flux, sensible heat flux and evapotranspiration) products.
description: From June 2010 to December 2014, the observation data of rubber plantations in Xishuangbanna were divided into conventional meteorological data (air temperature, air relative humidity, water vapor pressure, wind speed, wind direction, atmospheric pressure, total solar radiation, net radiation, photosynthetic effective radiation, soil temperature, soil moisture, precipitation) and flux data (net ecosystem production) in Xishuangbanna from June 2010 to December 2014 The results showed that there was no significant difference in the total primary productivity, latent heat flux, sensible heat flux and evapotranspiration) products.
DOI: 10.57760/sciencedb.975
title: An atmospheric-terrain-BRDF coupled corrected surface reflectance product over China
title: 中国区域大气-地形-BRDF全要素地表反射率产品

description: In order to eliminate the influences of atmospheric scattering and absorption, terrain fluctuation, and solar-viewing geometry, the coupled atmospheric-topographic-BRDF correction was performed to Landsat 5 ortho-rectified images covering the whole area of China in 2009. In this way a new land surface reflectance product was produced and released. The spatial resolution of this product is 30 meter. The file folder contains data file, quality attribute file, and metadata file. This new product is valuable for land cover change monitoring, high precision land surface parameter retrieval, global change studies, etc.
description: In order to eliminate the influences of atmospheric scattering and absorption, terrain fluctuation, and solar-viewing geometry, the coupled atmospheric-topographic-BRDF correction was performed to Landsat 5 ortho-rectified images covering the whole area of China in 2009. In this way a new land surface reflectance product was produced and released. The spatial resolution of this product is 30 meter. The file folder contains data file, quality attribute file, and metadata file. This new product is valuable for land cover change monitoring, high precision land surface parameter retrieval, global change studies, etc.
DOI: 10.57760/sciencedb.976
title: Generation of 30 meter resolution global burned area product based on Landsat 8 images
title: 全球30米分辨率火烧迹地产品

description: Burned area (BA) is an important parameter in the field of global change and carbon cycle. Firstly, high quality global sample database was constructed, then Landsat 8 time series satellite data and several sensitive spectral parameters of burned area were inputted to the machine learning algorithm, and 30 meter resolution global burned area product was produced and released. This product is innovative in the world. The 30 meter resolution global BA product can effectively detect small burned patches, and has advantages in determining fire location and area of the burned patches. It can be applied to global fire monitoring and disaster assessment, carbon emission calculation, ecological environment protection and other fields.
description: Burned area (BA) is an important parameter in the field of global change and carbon cycle. Firstly, high quality global sample database was constructed, then Landsat 8 time series satellite data and several sensitive spectral parameters of burned area were inputted to the machine learning algorithm, and 30 meter resolution global burned area product was produced and released. This product is innovative in the world. The 30 meter resolution global BA product can effectively detect small burned patches, and has advantages in determining fire location and area of the burned patches. It can be applied to global fire monitoring and disaster assessment, carbon emission calculation, ecological environment protection and other fields.
DOI: 10.57760/sciencedb.993
title: An observation dataset of carbon and water fluxes of artificial coniferous forests in Qianyanzhou (2003–2010)
title: 2003–2010年千烟洲人工针叶林碳水通量观测数据集

description: The process, control mechanism and their responses to environmental change of terrestrial ecosystem carbon and water cycling under global changes are important scientific problems having been trying to be solved by ecology and global change science for a long time. Eddy covariance is a powerful method for in-situ, continuous and high-frequency observation of the carbon and water exchange process in ecosystems. Qianyanzhou Ecological Research Station (QYZ), as one of the first field station establishing the system of eddy covariance in China, has been continuously accumulating scientific observation data of carbon and water fluxes of artificial coniferous forests for 17 years. In order to promote the development of carbon and water fluxes of terrestrial ecosystem in China and even the world, QYZ published the carbon and water fluxes and related meteorological data observed and processed from 2003 to 2010. The dataset include gross ecosystem primary productivity, ecosystem respiration, net ecosystem productivity, latent heat flux, sensible heat flux, air temperature, air relative humidity, vapor pressure, wind speed, wind direction, soil temperature, soil moisture, solar radiation, photosynthetic active radiation, and precipitation, etc., forming data products of half hour, day, month, and year scales.
description: The process, control mechanism and their responses to environmental change of terrestrial ecosystem carbon and water cycling under global changes are important scientific problems having been trying to be solved by ecology and global change science for a long time. Eddy covariance is a powerful method for in-situ, continuous and high-frequency observation of the carbon and water exchange process in ecosystems. Qianyanzhou Ecological Research Station (QYZ), as one of the first field station establishing the system of eddy covariance in China, has been continuously accumulating scientific observation data of carbon and water fluxes of artificial coniferous forests for 17 years. In order to promote the development of carbon and water fluxes of terrestrial ecosystem in China and even the world, QYZ published the carbon and water fluxes and related meteorological data observed and processed from 2003 to 2010. The dataset include gross ecosystem primary productivity, ecosystem respiration, net ecosystem productivity, latent heat flux, sensible heat flux, air temperature, air relative humidity, vapor pressure, wind speed, wind direction, soil temperature, soil moisture, solar radiation, photosynthetic active radiation, and precipitation, etc., forming data products of half hour, day, month, and year scales.
DOI: 10.57760/sciencedb.j00001.00038
title: A dataset of significant wave height simulations in the Northern Indian Ocean from 2009 to 2018
title: 2009-2018年北印度洋有效波高模拟数据集

description: This dataset is NC data, entitled “Observed Data set of effective wave Height over the Northern Indian Ocean from 2009–2018.zip”. The dataset consists of 10 natural years (2009–2018, 3.94 GB per year), a total of 39.4 GB. Each natural year dataset is named after the natural year and contains longitude and latitude, significant wave height, time, period, and so on.
description: This dataset is NC data, entitled “Observed Data set of effective wave Height over the Northern Indian Ocean from 2009–2018.zip”. The dataset consists of 10 natural years (2009–2018, 3.94 GB per year), a total of 39.4 GB. Each natural year dataset is named after the natural year and contains longitude and latitude, significant wave height, time, period, and so on.
DOI: 10.57760/sciencedb.j00001.00044
title: A photomicrograph dataset of sand grains from the Yarlung Tsangpo, Tibet (incomplete version)
title: 雅鲁藏布江砂粒显微图像数据集（部分）

description: Identification and statistics of reproduction of river sand and sediment components are the key steps of provenance analysis. The traditional human identification and manual statistics process are time-consuming and laborious, and the data obtained are of different standards and of uneven quality. The data obtained by different laboratories are of poor contrast. The automatic identification of sand components by computer using machine learning technology can help geologists relieve themselves from this tedious and time-consuming work. To achieve this goal, professional geologists need to take and mark a large number of microscopic image files as a basis for training. However, the large number of computer workers who want to do this work cannot find such datasets. Based on the principle of data disclosure and sharing, the author published the marked image dataset which had spent a lot of time and energy before. The dataset consists of 8,734 tagged clastic particle images and coordinate files, 1,536 sand microscope images, 120 numbered base maps and two sand composition identification tables, which provides a large number of data bases for computer automatic identification of sand components using machine learning techniques, and can also serve as reference standards for identification of other river sand detrital components. The full version (https://dx.doi.org/10.11922/sciencedb.j00001.00035) will be released 3 years later.
description: Identification and statistics of reproduction of river sand and sediment components are the key steps of provenance analysis. The traditional human identification and manual statistics process are time-consuming and laborious, and the data obtained are of different standards and of uneven quality. The data obtained by different laboratories are of poor contrast. The automatic identification of sand components by computer using machine learning technology can help geologists relieve themselves from this tedious and time-consuming work. To achieve this goal, professional geologists need to take and mark a large number of microscopic image files as a basis for training. However, the large number of computer workers who want to do this work cannot find such datasets. Based on the principle of data disclosure and sharing, the author published the marked image dataset which had spent a lot of time and energy before. The dataset consists of 8,734 tagged clastic particle images and coordinate files, 1,536 sand microscope images, 120 numbered base maps and two sand composition identification tables, which provides a large number of data bases for computer automatic identification of sand components using machine learning techniques, and can also serve as reference standards for identification of other river sand detrital components. The full version (https://dx.doi.org/10.11922/sciencedb.j00001.00035) will be released 3 years later.
DOI: 10.57760/sciencedb.j00001.00087
title: A micrograph dataset of Middle Jurassic clastic rock in the northeastern Ordos Basin
title: 鄂尔多斯盆地东北缘中侏罗世碎屑岩显微图像数据集

description: The micrograph is an important basis for geological research and big data is becoming a new engine of scientific discovery. Earth science big data is the most powerful form in geoscience. According to collecting samples, slice identification and micrograph, a dataset of Middle Jurassic clastic rock in the northeastern Ordos Basin were analyzed. It consists of 208 micrographs of 78 samples in total, with x4 and x10 magnification. Most of that are lithic sandstone, and little is fine grained sandstone. Basal cement, point-line contact and ordinary round and sorting. The quartz consists largely of single-crystal quartz, the feldspar is primarily microcline and plagioclase. Debris is mostly clay and siliceous debris, followed by metamorphic debris. The micrograph feature can indicate the mineralogy and sedimentary formation in the study area. The dataset has value in the correlational studies. It is helpful to find the relationship between various geological factors concealed in geological big data, and then to identify the scientific significance on such a basis.
description: The micrograph is an important basis for geological research and big data is becoming a new engine of scientific discovery. Earth science big data is the most powerful form in geoscience. According to collecting samples, slice identification and micrograph, a dataset of Middle Jurassic clastic rock in the northeastern Ordos Basin were analyzed. It consists of 208 micrographs of 78 samples in total, with x4 and x10 magnification. Most of that are lithic sandstone, and little is fine grained sandstone. Basal cement, point-line contact and ordinary round and sorting. The quartz consists largely of single-crystal quartz, the feldspar is primarily microcline and plagioclase. Debris is mostly clay and siliceous debris, followed by metamorphic debris. The micrograph feature can indicate the mineralogy and sedimentary formation in the study area. The dataset has value in the correlational studies. It is helpful to find the relationship between various geological factors concealed in geological big data, and then to identify the scientific significance on such a basis.
DOI: 10.57760/sciencedb.j00001.00199
title: A dataset of mangrove vector in the Guangdong province during 2015–2020
title: 2015–2020年广东省沿岸红树林矢量数据集

description: Guangdong province is one of the regions with the largest mangroves area, the widest range and the most abundant species in China. It is very significant to find out the location and situation of mangroves along the coast of Guangdong province. The dataset collects 119 Gaofen-2(GF-2) satellite remote sensing images of Guangdong province with less cloud cover from 2015 to 2020. After all of the collected GF-2 images were preprocessed, object-based image analysis (OBIA) is adopted to extract vector data of mangroves. Accuracy assessment demonstrates that the overall classification accuracy, Kappa coefficient and production accuracy of the data set are higher than 96%, 0.88 and 82%, respectively. This product presents the status and area changes of mangroves in Guangdong province coast during 2015-2020, which can be used as the basic data for the protection, restoration and management of mangrove resources, as well as wetland dynamic monitoring and marine environment change in the region.
description: Guangdong province is one of the regions with the largest mangroves area, the widest range and the most abundant species in China. It is very significant to find out the location and situation of mangroves along the coast of Guangdong province. The dataset collects 119 Gaofen-2(GF-2) satellite remote sensing images of Guangdong province with less cloud cover from 2015 to 2020. After all of the collected GF-2 images were preprocessed, object-based image analysis (OBIA) is adopted to extract vector data of mangroves. Accuracy assessment demonstrates that the overall classification accuracy, Kappa coefficient and production accuracy of the data set are higher than 96%, 0.88 and 82%, respectively. This product presents the status and area changes of mangroves in Guangdong province coast during 2015-2020, which can be used as the basic data for the protection, restoration and management of mangrove resources, as well as wetland dynamic monitoring and marine environment change in the region.
DOI: 10.57760/sciencedb.j00001.00211
title: Landsat-8 thermal anomalies products over china
title: 中国区域Landsat-8高温异常点产品

description: Landsat-8 thermal anomalies products is an important parameter that can reflect the impact of human activities on the earth. It is widely used in agriculture, forestry, industry, ecology, global change and other fields. Satellite remote sensing technology provides an effective way to obtain large-scale thermal anomalies information. The short-wave infrared, mid-infrared and thermal infrared bands of Landsat-8 data has high spatial resolution and long-term data accumulation, which provides an ideal data source for thermal anomalies studies. Based on Landsat data and Normalized Burning Ratio Short-wave (NBRS) algorithm, long time series thermal anomalies product of China is produced, which can provide data product support for researches and applications in related fields.
description: Landsat-8 thermal anomalies products is an important parameter that can reflect the impact of human activities on the earth. It is widely used in agriculture, forestry, industry, ecology, global change and other fields. Satellite remote sensing technology provides an effective way to obtain large-scale thermal anomalies information. The short-wave infrared, mid-infrared and thermal infrared bands of Landsat-8 data has high spatial resolution and long-term data accumulation, which provides an ideal data source for thermal anomalies studies. Based on Landsat data and Normalized Burning Ratio Short-wave (NBRS) algorithm, long time series thermal anomalies product of China is produced, which can provide data product support for researches and applications in related fields.
DOI: 10.57760/sciencedb.j00001.00242
title: A dataset of carbon flux component of typical terrestrial ecosystems in Asian region (1990–2015)
title: 1990–2015年亚洲区域典型陆地生态系统碳通量组分数据集

description: Carbon flux components of terrestrial ecosystem including gross primary production, ecosystem respiration and net ecosystem production, serve as the most important direct ecosystem indices for material production, carbon sequestration and climate regulation. Based on systematically collected carbon flux components data measured by eddy covariance technique during the period of 1990–2015 in Asian region (excluding China region), we constructed the dataset of terrestrial ecosystems carbon flux component in Asian region. The dataset includes multi-years’ annual records of gross primary production, ecosystem respiration and net ecosystem production from 45 typical ecosystems during the period of 1990–2015 in Asian region. In addition, it includes some basic meteorological and vegetation information such as site location, climate zone, ecosystem type, plant type, mean annual air temperature, mean annual total precipitation, and measurement period, etc.
description: Carbon flux components of terrestrial ecosystem including gross primary production, ecosystem respiration and net ecosystem production, serve as the most important direct ecosystem indices for material production, carbon sequestration and climate regulation. Based on systematically collected carbon flux components data measured by eddy covariance technique during the period of 1990–2015 in Asian region (excluding China region), we constructed the dataset of terrestrial ecosystems carbon flux component in Asian region. The dataset includes multi-years’ annual records of gross primary production, ecosystem respiration and net ecosystem production from 45 typical ecosystems during the period of 1990–2015 in Asian region. In addition, it includes some basic meteorological and vegetation information such as site location, climate zone, ecosystem type, plant type, mean annual air temperature, mean annual total precipitation, and measurement period, etc.
DOI: 10.57760/sciencedb.962
title: A soil moisture dataset of continuous fertilization experiment in loess hilly area (1997–2011)
title: 1997–2011年黄土丘陵区连续施肥试验土壤水分数据集

description: Soil moisture data from 1997 to 2011 of continuous application of different fertilizer combinations on sichuan loess subsoil in loess hilly area.The data set is composed of two parts, one is the format of. XLS entity data file 1;The second is 15 data description documents in the format of.doc.
description: Soil moisture data from 1997 to 2011 of continuous application of different fertilizer combinations on sichuan loess subsoil in loess hilly area.The data set is composed of two parts, one is the format of. XLS entity data file 1;The second is 15 data description documents in the format of.doc.
DOI: 10.57760/sciencedb.967
title: A large-region high-resolution satellite dataset of Beijing-Tianjin-Hebei Metropolitan Region
title: 京津冀城市群大区域高分卫星数据集

description: Using domestic remote sensing data such as domestic GF-1 B/C, GF-2 and GF-6 from 2018 to 2019, and with value-added processing of satellite data such as image registration, block adjustment, geometric orthorectification, image fusion, and image mosaic, a high-resolution mosaic image of a large area in the Beijing-Tianjin-Hebei urban Metropolitan Region was obtained with a spatial resolution of 2m. This data set is of few clouds, balanced color, and geometric accuracy of about 1-2 pixels (2-4m). The image data includes visible light and near-infrared bands, which can provide data support for the research and application of land use, urban development, and ecological environment monitoring in the Beijing-Tianjin-Hebei Metropolitan Region.
description: Using domestic remote sensing data such as domestic GF-1 B/C, GF-2 and GF-6 from 2018 to 2019, and with value-added processing of satellite data such as image registration, block adjustment, geometric orthorectification, image fusion, and image mosaic, a high-resolution mosaic image of a large area in the Beijing-Tianjin-Hebei urban Metropolitan Region was obtained with a spatial resolution of 2m. This data set is of few clouds, balanced color, and geometric accuracy of about 1-2 pixels (2-4m). The image data includes visible light and near-infrared bands, which can provide data support for the research and application of land use, urban development, and ecological environment monitoring in the Beijing-Tianjin-Hebei Metropolitan Region.
DOI: 10.6084/m9.figshare.21164395
title: Supplementary File 1.zip

description: anttiSMASH analysis results of Burkholderia WPB and AFE strain