cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.00067
title: In situ observation data set of physical parameters of Arctic sea ice in summer of 2008-2018
title: 2008-2018年夏季北极海冰物理参数原位观测数据集

description: With the global warming, the Arctic summer sea ice also has experienced a series of changes. For example, the sea ice extent and thickness are reduced. Temperature, salinity and density are the basic physical parameters of sea ice. It is difficult to use remote sensing technique to conduct large-scale observations, but need field measurements. This data is the observations of physical properties of Arctic sea ice during the summers of 2008-2018. The observation sites are located in the Pacific sector of the Arctic Ocean. The data files contain specific information of each ice station, ice temperature profiles (2008-2016), salinity profiles (2008-2018), density profiles (2008-2018) and crystal structure profiles (2012-2018). The ice temperature is measured by a probe temperature sensor. The ice salinity data is obtained by measuring the melt water of ice sections with a salinometer. The density data is obtained using mass/volume method. The ice crystal structure is obtained by observing ice slices under crossed polarized light. The data has a wide application. It can be used to verify the simulation results of sea ice models, and also to evaluate the phase composition contents and thermodynamic properties of the Arctic summer sea ice.
description: With the global warming, the Arctic summer sea ice also has experienced a series of changes. For example, the sea ice extent and thickness are reduced. Temperature, salinity and density are the basic physical parameters of sea ice. It is difficult to use remote sensing technique to conduct large-scale observations, but need field measurements. This data is the observations of physical properties of Arctic sea ice during the summers of 2008-2018. The observation sites are located in the Pacific sector of the Arctic Ocean. The data files contain specific information of each ice station, ice temperature profiles (2008-2016), salinity profiles (2008-2018), density profiles (2008-2018) and crystal structure profiles (2012-2018). The ice temperature is measured by a probe temperature sensor. The ice salinity data is obtained by measuring the melt water of ice sections with a salinometer. The density data is obtained using mass/volume method. The ice crystal structure is obtained by observing ice slices under crossed polarized light. The data has a wide application. It can be used to verify the simulation results of sea ice models, and also to evaluate the phase composition contents and thermodynamic properties of the Arctic summer sea ice.
DOI: 10.57760/sciencedb.00171
title: Grazing intensity and human activity intensity datasets on the Qinghai-Tibet Plateau during 1990–2015
title: Grazing intensity and human activity intensity datasets on the Qinghai-Tibet Plateau during 1990–2015

description: As the “third pole” of the world, the Qinghai-Tibet Plateau (QTP) is extremely ecologically sensitive and fragile while facing increasing human activities and overgrazing. In this study, livestock data from the statistical yearbook were transformed to 1 km grazing intensity raster data by integrating the net primary productivity (NPP) data for 1990, 1995, 2000, 2005, 2010 and 2015. Further, the human activity intensity (HAI) data at 1 km resolution were evaluated by the entropy weight method, which applied eight types of spatial data, including grazing intensity, Night-Time Light, population density, Gross Domestic Product (GDP) density, the ratio of cultivated land, distance to road, distance to town, and the slope of the Normalized Difference Vegetation Index (NDVI). Also, the five-year interval human activity intensity data from 1990 to 2015 were made on the QTP. By preparing the historical spatial datasets of grazing intensity and human activity intensity, our study will help to explore the influence of human disturbance on the alpine ecosystems on the QTP and provide effective support for decision-making of government aiming at regional ecosystem management and sustainable development.
description: As the “third pole” of the world, the Qinghai-Tibet Plateau (QTP) is extremely ecologically sensitive and fragile while facing increasing human activities and overgrazing. In this study, livestock data from the statistical yearbook were transformed to 1 km grazing intensity raster data by integrating the net primary productivity (NPP) data for 1990, 1995, 2000, 2005, 2010 and 2015. Further, the human activity intensity (HAI) data at 1 km resolution were evaluated by the entropy weight method, which applied eight types of spatial data, including grazing intensity, Night-Time Light, population density, Gross Domestic Product (GDP) density, the ratio of cultivated land, distance to road, distance to town, and the slope of the Normalized Difference Vegetation Index (NDVI). Also, the five-year interval human activity intensity data from 1990 to 2015 were made on the QTP. By preparing the historical spatial datasets of grazing intensity and human activity intensity, our study will help to explore the influence of human disturbance on the alpine ecosystems on the QTP and provide effective support for decision-making of government aiming at regional ecosystem management and sustainable development.
DOI: 10.57760/sciencedb.00196
title: A dataset of land desertification in the rare earth mining area in southern Jiangxi from 1986 to 2019
title: 1986–2019年赣南稀土矿区土地荒漠化数据集

description: Using Landsat image as the main data source, combining with field investigation and Google high-grade image, this data set is verified by randomly selecting sample points, and taking Lingbei mining area, the concentration of rare earth minerals in south Jiangxi Province as the study area, a 29-year data set from 1986 to 2019 has been prepared for the desertification, and the applicability of the stochastic forest method in extracting desertification information from red soil in southern China has been verified on a large scale, the results provide a basis for quantitative monitoring and analysis of the dynamic change characteristics and laws of desertification in mining areas, as well as the impacts of different rare earth mining patterns, Management Measures and reclamation measures on desertification in mining areas.
description: Using Landsat image as the main data source, combining with field investigation and Google high-grade image, this data set is verified by randomly selecting sample points, and taking Lingbei mining area, the concentration of rare earth minerals in south Jiangxi Province as the study area, a 29-year data set from 1986 to 2019 has been prepared for the desertification, and the applicability of the stochastic forest method in extracting desertification information from red soil in southern China has been verified on a large scale, the results provide a basis for quantitative monitoring and analysis of the dynamic change characteristics and laws of desertification in mining areas, as well as the impacts of different rare earth mining patterns, Management Measures and reclamation measures on desertification in mining areas.
DOI: 10.57760/sciencedb.00343
title: Cloud Federation Progress in CSTCloud
title: Cloud Federation Progress in CSTCloud

description: This talk was delivered during the RDA 16th Plenary on the Joint Meeting for RPRD IG and DR IG: Approaches for Selecting Research Data Repository Platforms and Sharing Resources to Facilitate Open Science.
description: This talk was delivered during the RDA 16th Plenary on the Joint Meeting for RPRD IG and DR IG: Approaches for Selecting Research Data Repository Platforms and Sharing Resources to Facilitate Open Science.
DOI: 10.57760/sciencedb.00776
title: Phenotypic characterization autochthones cattle in Algeria
title: Phenotypic characterization autochthones cattle in Algeria

description: The morphometric measurements seem to be the first approach that can provide useful information on the suitability of animal genetic resources for selection. Here, we present a dataset of thirteen morphometric variables used for the phenotypic characterization of adult autochthones cattle randomly selected from 30 local farms in Algeria.
description: The morphometric measurements seem to be the first approach that can provide useful information on the suitability of animal genetic resources for selection. Here, we present a dataset of thirteen morphometric variables used for the phenotypic characterization of adult autochthones cattle randomly selected from 30 local farms in Algeria.
DOI: 10.57760/sciencedb.00245
title: A fine resolution mangrove map of China for 2019 derived from 10-m-resolution satellite observations and Google Earth images
title: 基于遥感的2019年中国红树林分布数据

description: With the field surveys and communications with mangrove experts, the previous version of mangrove map in China for 2019 had the omission problem that some mangrove patches were missing in the product. A mangrove map using an image interpretation and field investigation approach was then released. This mangrove map was checked by field survey in some areas, thus can be a reference to update the previous version of mangrove map. A new mangrove map was derived by integrating existing data sets, eliminating the misclassified patches, and repairing the missing mangrove patches. Based on an evaluation sample dataset (the data was in doi:10.11922/sciencedb.00279), the overall accuracy reached 97.0 ± 0.2%. The accurate rate in metrics of 1096 field sample plots was 96.7%. The total area of ​​mangroves in China in 2019 is estimated to be 27053.07 ha under the asia north albers equal area conic projection, which is highly consistent with the rresult of the third national land survey. This dataset provides a basis for mangrove protection, restoration, and management in China, mangrove related carbon sink estimation, and related studies in China.
description: With the field surveys and communications with mangrove experts, the previous version of mangrove map in China for 2019 had the omission problem that some mangrove patches were missing in the product. A mangrove map using an image interpretation and field investigation approach was then released. This mangrove map was checked by field survey in some areas, thus can be a reference to update the previous version of mangrove map. A new mangrove map was derived by integrating existing data sets, eliminating the misclassified patches, and repairing the missing mangrove patches. Based on an evaluation sample dataset (the data was in doi:10.11922/sciencedb.00279), the overall accuracy reached 97.0 ± 0.2%. The accurate rate in metrics of 1096 field sample plots was 96.7%. The total area of ​​mangroves in China in 2019 is estimated to be 27053.07 ha under the asia north albers equal area conic projection, which is highly consistent with the rresult of the third national land survey. This dataset provides a basis for mangrove protection, restoration, and management in China, mangrove related carbon sink estimation, and related studies in China.
DOI: 10.57760/sciencedb.00034
title: ManiSkill-2021
title: ManiSkill-2021

description: At home, office, or other environments, we see the 3D world and manipulate objects surrounding us. Computer scientists today are interested in building artificial intelligence that can behave and interact with 3D objects as we humans do. To this end, we introduce SAPIEN Manipulation Skill Challenge, or ManiSkill Challenge for short, a challenge focusing on acquiring generalizable manipulation skills.ManiSkill challenge is built on the ManiSkill Benchmark, which utilizes a rich and diverse set of articulated objects to build 4 tasks. All tasks are equipped with high-quality demonstrations for learning-from-demonstrations approaches and we provide common baseline algorithms. We believe this challenge will encourage the robot learning community to explore generalizable object manipulation skills.This dataset contains the training datasets and pre-trained baseline models of ManiSkill Challenge 2021( https://sapien.ucsd.edu/challenges/maniskill2021).
description: At home, office, or other environments, we see the 3D world and manipulate objects surrounding us. Computer scientists today are interested in building artificial intelligence that can behave and interact with 3D objects as we humans do. To this end, we introduce SAPIEN Manipulation Skill Challenge, or ManiSkill Challenge for short, a challenge focusing on acquiring generalizable manipulation skills.ManiSkill challenge is built on the ManiSkill Benchmark, which utilizes a rich and diverse set of articulated objects to build 4 tasks. All tasks are equipped with high-quality demonstrations for learning-from-demonstrations approaches and we provide common baseline algorithms. We believe this challenge will encourage the robot learning community to explore generalizable object manipulation skills.This dataset contains the training datasets and pre-trained baseline models of ManiSkill Challenge 2021( https://sapien.ucsd.edu/challenges/maniskill2021).
DOI: 10.57760/sciencedb.00063
title: Dataset for Halogens in Martian soils
title: Dataset for Halogens in Martian soils

description: Analyze the In-situ Br, Cl, and S data of Gale Crater, and study the halogen of Gale from the content, ratio, and distribution of the elements. Combined with the previous research, the overall analysis of halogens on the surface of Mars is carried out. The error ranges in the table and the method of data usage are described in the notes.
description: Analyze the In-situ Br, Cl, and S data of Gale Crater, and study the halogen of Gale from the content, ratio, and distribution of the elements. Combined with the previous research, the overall analysis of halogens on the surface of Mars is carried out. The error ranges in the table and the method of data usage are described in the notes.
DOI: 10.57760/sciencedb.00151
title: Zonal and meridional sea water horizontal velocity in the northern South China Sea
title: 南海北部纬向和经向海水水平速度

description: In late April 2005, the Institute of Oceanography of the Chinese Academy of Sciences deployed a mooring in the northern South China Sea and the east of Hainan Island (112.0 °E, 19.6 °N). The mooring was equipped with a 300 kHz RDI acoustic Doppler Current Profiler (ADCP). The ADCP is located in the main floating body in the upper part of the submarine buoy, with a downward looking direction, that is, the velocity of sea water is observed from top to bottom. The time resolution of velocity data is 1 hour, and the duration is from April 17, 2005 to September 30, 2005. The vertical resolution of velocity data is 2 m, and the vertical range is from 4 m to 114 m. The data files u.txt and v.txt represent the zonal and meridional velocity respectively, and the unit of velocity is meters per second. The row of the data represent time, the first row is the start time, the last row is the end time; the column of the data represents vertical water depth, the first column is water depth 4m layer, and the last column is water depth 114 m layer.
description: In late April 2005, the Institute of Oceanography of the Chinese Academy of Sciences deployed a mooring in the northern South China Sea and the east of Hainan Island (112.0 °E, 19.6 °N). The mooring was equipped with a 300 kHz RDI acoustic Doppler Current Profiler (ADCP). The ADCP is located in the main floating body in the upper part of the submarine buoy, with a downward looking direction, that is, the velocity of sea water is observed from top to bottom. The time resolution of velocity data is 1 hour, and the duration is from April 17, 2005 to September 30, 2005. The vertical resolution of velocity data is 2 m, and the vertical range is from 4 m to 114 m. The data files u.txt and v.txt represent the zonal and meridional velocity respectively, and the unit of velocity is meters per second. The row of the data represent time, the first row is the start time, the last row is the end time; the column of the data represents vertical water depth, the first column is water depth 4m layer, and the last column is water depth 114 m layer.
DOI: 10.57760/sciencedb.00109
title: A gridded emission inventory of semi-volatile and intermediate volatility organic compounds in China
title: A gridded emission inventory of semi-volatile and intermediate volatility organic compounds in China

description: The comprehensive gridded emission inventory of semi-volatile and intermediate volatility organic compounds (S/IVOCs) over China with a resolution of 27 km × 27 km in 2016 was developed based on ample source-specific measured data on emission ratios of S/IVOCs to primary organic aerosols (POA). The emission inventory covers six main source categories including industry, residential, transportation, power plants, biomass burning, and shipping. The uncertainty of this emission inventory was estimated to be within the range of -66 %–153 % by using Monte Carlo simulation. This emission inventory can be used as input data for numerical models to further investigate the roles of S/IVOCs on air quality such as concentrations of secondary organic aerosol (SOA) and fine particle (PM2.5), thereby helping policy-makers to formulate effective air quality control strategies. The dataset contains one zip files with 72 nc files inside, and each nc file contains SVOC and IVOC emissions of one month for a specific source category. This dataset and relevant detailed analysis have been submitted to 𝐸𝑎𝑟𝑡ℎ 𝑆𝑦𝑠𝑡𝑒𝑚 𝑆𝑐𝑖𝑒𝑛𝑐𝑒 𝐷𝑎𝑡𝑎.
description: The comprehensive gridded emission inventory of semi-volatile and intermediate volatility organic compounds (S/IVOCs) over China with a resolution of 27 km × 27 km in 2016 was developed based on ample source-specific measured data on emission ratios of S/IVOCs to primary organic aerosols (POA). The emission inventory covers six main source categories including industry, residential, transportation, power plants, biomass burning, and shipping. The uncertainty of this emission inventory was estimated to be within the range of -66 %–153 % by using Monte Carlo simulation. This emission inventory can be used as input data for numerical models to further investigate the roles of S/IVOCs on air quality such as concentrations of secondary organic aerosol (SOA) and fine particle (PM2.5), thereby helping policy-makers to formulate effective air quality control strategies. The dataset contains one zip files with 72 nc files inside, and each nc file contains SVOC and IVOC emissions of one month for a specific source category. This dataset and relevant detailed analysis have been submitted to 𝐸𝑎𝑟𝑡ℎ 𝑆𝑦𝑠𝑡𝑒𝑚 𝑆𝑐𝑖𝑒𝑛𝑐𝑒 𝐷𝑎𝑡𝑎.
DOI: 10.57760/sciencedb.00204
title: Photocatalytic database based on single-element doped TiO2
title: 基于单元素掺杂的TiO2光催化材料数据集

description: The dataset consists of 8 subsets in total. It comprises doping crystal structure data, input and output data of geometry optimization, static calculation, band structure, density of states, magnetic property, and dielectric function calculation, and some extraction data. The subsets are recorded as Data1_Structure.zip with a data volume of 90 KB, Data2_Optimization.zip with a data volume of 523 MB, Data3_Static.zip with a data volume of 3.68 GB, Data4_Band.zip with a data volume of 10.5 GB, Data5_DOS.zip with a data volume of 4.45 GB, Data6_Magnetic.zip with a data volume of 1.03GB, Data7_Dielectric.zip with a data volume of 74.6 MB, and Data5_Extraction.zip with a data volume of 131 MB.
description: The dataset consists of 8 subsets in total. It comprises doping crystal structure data, input and output data of geometry optimization, static calculation, band structure, density of states, magnetic property, and dielectric function calculation, and some extraction data. The subsets are recorded as Data1_Structure.zip with a data volume of 90 KB, Data2_Optimization.zip with a data volume of 523 MB, Data3_Static.zip with a data volume of 3.68 GB, Data4_Band.zip with a data volume of 10.5 GB, Data5_DOS.zip with a data volume of 4.45 GB, Data6_Magnetic.zip with a data volume of 1.03GB, Data7_Dielectric.zip with a data volume of 74.6 MB, and Data5_Extraction.zip with a data volume of 131 MB.
DOI: 10.57760/sciencedb.00314
title: Early Prediction Model for Preterm Birth Combining Demographic Characteristics and Clinical Characteristics
title: 基于人口学及临床特征的早产预测模型的研究

description: To create early prediction models for preterm birth (PTB) based on the Chinese population, combining demographic characteristics and clinical characteristics. A retrospective study on 15197 pregnant women who were recruited in Obstetrics and Gynecology Hospital of Zhejiang University from January1, 2017 to December 31, 2017.
description: To create early prediction models for preterm birth (PTB) based on the Chinese population, combining demographic characteristics and clinical characteristics. A retrospective study on 15197 pregnant women who were recruited in Obstetrics and Gynecology Hospital of Zhejiang University from January1, 2017 to December 31, 2017.
DOI: 10.57760/sciencedb.00563
title: The original data of the paper "Effectiveness of N-back Working Memory Training: An Evidence from Meta-analysis”
title: 论文《n-back任务训练迁移效果及其影响因素:来自元分析的证据》的原始数据

description: The original data of the paper "n-back task training transfer effect and its influencing factors: evidence from meta-analysis", including the information extracted from meta-analysis included articles and the coding of regulatory variables. The original data of the paper "n-back task training transfer effect and its influencing factors: evidence from meta-analysis", including the information extracted from meta-analysis included articles and the coding of regulatory variables. Among them, the basic information including author, publication time, type of training task, training time, type of control group, mean and standard deviation of training group before and after transfer task, number of training group, mean and standard deviation of control group before and after transfer task, number of control group and so on were extracted from meta-analysis. Then, according to the previous literature and the data obtained in this paper, the adjustment variable is coded, and the coding method is shown in the text. In order to analyze the function of each regulatory variable, the combination unrelated to the target regulatory variable is combined. The combination formula is shown in the text.
description: The original data of the paper "n-back task training transfer effect and its influencing factors: evidence from meta-analysis", including the information extracted from meta-analysis included articles and the coding of regulatory variables. The original data of the paper "n-back task training transfer effect and its influencing factors: evidence from meta-analysis", including the information extracted from meta-analysis included articles and the coding of regulatory variables. Among them, the basic information including author, publication time, type of training task, training time, type of control group, mean and standard deviation of training group before and after transfer task, number of training group, mean and standard deviation of control group before and after transfer task, number of control group and so on were extracted from meta-analysis. Then, according to the previous literature and the data obtained in this paper, the adjustment variable is coded, and the coding method is shown in the text. In order to analyze the function of each regulatory variable, the combination unrelated to the target regulatory variable is combined. The combination formula is shown in the text.