cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.j00186.00424
title: A dataset of verification results of heterogeneous variational nodal method
title: A dataset of verification results of heterogeneous variational nodal method

description: This dataset presents the numerical verification results of the code VITAS, developed based on the heterogeneous variational nodal method, on the KAIST and JRR-3 benchmark problems. Additionally, it analyzes the parallel performance of VITAS. The dataset consists of three Excel files: KAIST.xlsx contains the computation results of VITAS on the KAIST benchmark problems, JRR.xlsx contains the computation results of VITAS on the JRR-3 benchmark problem, and parallel_performance_analysis.xlsx provides the parallel performance analysis of VITAS on the KAIST and JRR-3 benchmark problems.
description: This dataset presents the numerical verification results of the code VITAS, developed based on the heterogeneous variational nodal method, on the KAIST and JRR-3 benchmark problems. Additionally, it analyzes the parallel performance of VITAS. The dataset consists of three Excel files: KAIST.xlsx contains the computation results of VITAS on the KAIST benchmark problems, JRR.xlsx contains the computation results of VITAS on the JRR-3 benchmark problem, and parallel_performance_analysis.xlsx provides the parallel performance analysis of VITAS on the KAIST and JRR-3 benchmark problems.
DOI: 10.57760/sciencedb.16013
title: The Impact Mechanisms of Players’ International Migration on National Team Performance
title: The Impact Mechanisms of Players’ International Migration on National Team Performance

description: national team level use by World Football ELO rating (http://www.eloratings.net/), player imports represent the number of foreign players in each country/region's top-tier league, and player exports represent the number of exported players in each country/region's top-tier league (https://www.transfermarkt.co.uk/).Youth team level is measured by teams’ performance in U17/U20 World Cup(https://www.fifa.com). League level is the International Federation of Football History and Statistics' strongest national league ranking (https://www.iffhs.com/). Since only about top 80 rankings are published each year, leagues no rankings are assigned minimum value of 100.population and economy (https://www.worldbank.org/en/home/). 
description: national team level use by World Football ELO rating (http://www.eloratings.net/), player imports represent the number of foreign players in each country/region's top-tier league, and player exports represent the number of exported players in each country/region's top-tier league (https://www.transfermarkt.co.uk/).Youth team level is measured by teams’ performance in U17/U20 World Cup(https://www.fifa.com). League level is the International Federation of Football History and Statistics' strongest national league ranking (https://www.iffhs.com/). Since only about top 80 rankings are published each year, leagues no rankings are assigned minimum value of 100.population and economy (https://www.worldbank.org/en/home/).
DOI: 10.57760/sciencedb.chnneuro.00007
title: ChineseEEG: A Chinese Linguistic Corpora EEG Dataset for Semantic Alignment and Neural Decoding
title: ChineseEEG: A Chinese Linguistic Corpora EEG Dataset for Semantic Alignment and Neural Decoding

description: An Electroencephalography (EEG) dataset utilizing rich text stimuli can advance the understanding of how the brain encodes semantic information and contribute to semantic decoding in brain-computer interface (BCI). Addressing the scarcity of EEG datasets featuring Chinese linguistic stimuli, we present the ChineseEEG dataset, a high-density EEG dataset complemented by simultaneous eye-tracking recordings. This dataset was compiled while 10 participants silently read approximately 11 hours of Chinese text from two well-known novels. This dataset provides long-duration EEG recordings, along with pre-processed EEG sensor-level data and semantic embeddings of reading materials extracted by a pre-trained natural language processing (NLP) model.As a pilot EEG dataset derived from natural Chinese linguistic stimuli, ChineseEEG can significantly support research across neuroscience, NLP, and linguistics. It establishes a benchmark dataset for Chinese semantic decoding, aids in the development of BCIs, and facilitates the exploration of alignment between large language models and human cognitive processes. It can also aid research into the brain's mechanisms of language processing within the context of the Chinese natural language.
description: An Electroencephalography (EEG) dataset utilizing rich text stimuli can advance the understanding of how the brain encodes semantic information and contribute to semantic decoding in brain-computer interface (BCI). Addressing the scarcity of EEG datasets featuring Chinese linguistic stimuli, we present the ChineseEEG dataset, a high-density EEG dataset complemented by simultaneous eye-tracking recordings. This dataset was compiled while 10 participants silently read approximately 11 hours of Chinese text from two well-known novels. This dataset provides long-duration EEG recordings, along with pre-processed EEG sensor-level data and semantic embeddings of reading materials extracted by a pre-trained natural language processing (NLP) model.As a pilot EEG dataset derived from natural Chinese linguistic stimuli, ChineseEEG can significantly support research across neuroscience, NLP, and linguistics. It establishes a benchmark dataset for Chinese semantic decoding, aids in the development of BCIs, and facilitates the exploration of alignment between large language models and human cognitive processes. It can also aid research into the brain's mechanisms of language processing within the context of the Chinese natural language.
DOI: 10.57760/sciencedb.j00113.00206
title: The data of the article "Analysis of pseudo-random number generators in QMC-SSE method"
title: The data of the article "Analysis of pseudo-random number generators in QMC-SSE method"

description: In the quantum Monte Carlo (QMC) method, the pseudo-random number generator (PRNG) plays a crucial role in determining the computation time. However, the hidden structure of the PRNG may lead to serious issues such as the breakdown of the Markov process. Here, we systematically analyze the performance of different PRNGs on the widely used QMC method known as the stochastic series expansion (SSE) algorithm. To quantitatively compare them, we intro- duce a quantity called QMC efficiency that can effectively reflect the efficiency of the algorithms. After testing several representative observables of the Heisenberg model in one and two dimensions, we recommend the linear congruential generator as the best choice of PRNG. Our work not only helps improve the performance of the SSE method but also sheds light on the other Markov-chain-based numerical algorithms.
description: In the quantum Monte Carlo (QMC) method, the pseudo-random number generator (PRNG) plays a crucial role in determining the computation time. However, the hidden structure of the PRNG may lead to serious issues such as the breakdown of the Markov process. Here, we systematically analyze the performance of different PRNGs on the widely used QMC method known as the stochastic series expansion (SSE) algorithm. To quantitatively compare them, we intro- duce a quantity called QMC efficiency that can effectively reflect the efficiency of the algorithms. After testing several representative observables of the Heisenberg model in one and two dimensions, we recommend the linear congruential generator as the best choice of PRNG. Our work not only helps improve the performance of the SSE method but also sheds light on the other Markov-chain-based numerical algorithms.
DOI: 10.57760/sciencedb.16019
title: Table 1 Comparison of baseline data of two groups of children
title: Table 1 Comparison of baseline data of two groups of children

description: 采用SPSS 26.0软件进行数据分析，统计学意义设定为P&lt;0.05。连续变量的描述性统计量以平均值±标准差表示。使用连续变量的t检验比较复发组和对照组之间的差异。分类变量以频率（百分比）表示，并使用卡方检验分析两组之间的差异。将差异显著的变量和具有临床意义的变量纳入多因素二元logistic回归模型，探讨回归模型中多个因素与复发组抽动障碍患儿的关系。
description: 采用SPSS 26.0软件进行数据分析，统计学意义设定为P&lt;0.05。连续变量的描述性统计量以平均值±标准差表示。使用连续变量的t检验比较复发组和对照组之间的差异。分类变量以频率（百分比）表示，并使用卡方检验分析两组之间的差异。将差异显著的变量和具有临床意义的变量纳入多因素二元logistic回归模型，探讨回归模型中多个因素与复发组抽动障碍患儿的关系。
DOI: 10.57760/sciencedb.16020
title: Financial Efficiency
title: Financial Efficiency

description: Basic data needed to measure financial efficiency in China
description: Basic data needed to measure financial efficiency in China
DOI: 10.57760/sciencedb.j00001.01083
title: An Image Dataset of Dunhuang Manuscripts for Fragments Conjunction
title: 面向残片缀合的敦煌文献图像数据集

description: Dunhuang manuscripts are precious heritage created by various ethnic groups in China during the history. Because of the ancient times they have been through, most of the manuscripts are damaged, which makes the conjunction a key step in Dunhuang studies. Manual stitching is difficult and time-consuming. With the improvement of computer technology in recent years, automatic conjunction of fragments with computer assistance has emerged. However, there is a severe lack of high-quality image datasets due to the complex reservation conditions of Dunhuang manuscripts, while the method with computer needs a big image dataset. This dataset collects a batch of high-quality fragment image data based on published manuscripts conjunction papers, and supplements it with manually segmented images. The scale of the dataset is 95 groups with 366 images. Each group of data includes 1 completed image as the reference of conjunction, as well as 2-7 fragments. The content of images mainly involved Chinese, with some ancient Tibetan. While the collection institutions include the National Library of China, the British Library, the National Library of France, and the Dunhuang Academy. The data is representative and can support the training and validation of conjunction algorithms or models.
description: Dunhuang manuscripts are precious heritage created by various ethnic groups in China during the history. Because of the ancient times they have been through, most of the manuscripts are damaged, which makes the conjunction a key step in Dunhuang studies. Manual stitching is difficult and time-consuming. With the improvement of computer technology in recent years, automatic conjunction of fragments with computer assistance has emerged. However, there is a severe lack of high-quality image datasets due to the complex reservation conditions of Dunhuang manuscripts, while the method with computer needs a big image dataset. This dataset collects a batch of high-quality fragment image data based on published manuscripts conjunction papers, and supplements it with manually segmented images. The scale of the dataset is 95 groups with 366 images. Each group of data includes 1 completed image as the reference of conjunction, as well as 2-7 fragments. The content of images mainly involved Chinese, with some ancient Tibetan. While the collection institutions include the National Library of China, the British Library, the National Library of France, and the Dunhuang Academy. The data is representative and can support the training and validation of conjunction algorithms or models.
DOI: 10.57760/sciencedb.16022
title: A dataset of 1km Grid Residential land density in China(2022）
title: 2022年中国1km格网住宅用地密度数据集

description: Residential land includes urban residential land and rural homestead land, which are the basic living space for urban and rural residents. The location and quantity of residential land directly affect people's quality of life. Residential land density is an important indicator of the degree of human aggregation in a region. The density of residential land reflects the suitability for residential use and spatial accumulation characteristics, which can provide reference for the formulation of urban and village development plans, and is of great significance for optimizing the layout of residential land and improving the efficiency of land use. This article uses the 30 meter land use grid data from the 2022 National Land Change Survey, and uses kilometer grid production software to calculate the density of residential land in China's 1km grid through grid spatial calculation. This dataset can be used for research on urban village internal planning, planning implementation evaluation, regional resident quality of life evaluation, residential area demand analysis, carbon source estimation, remote sensing sample library, and other aspects. 
description: Residential land includes urban residential land and rural homestead land, which are the basic living space for urban and rural residents. The location and quantity of residential land directly affect people's quality of life. Residential land density is an important indicator of the degree of human aggregation in a region. The density of residential land reflects the suitability for residential use and spatial accumulation characteristics, which can provide reference for the formulation of urban and village development plans, and is of great significance for optimizing the layout of residential land and improving the efficiency of land use. This article uses the 30 meter land use grid data from the 2022 National Land Change Survey, and uses kilometer grid production software to calculate the density of residential land in China's 1km grid through grid spatial calculation. This dataset can be used for research on urban village internal planning, planning implementation evaluation, regional resident quality of life evaluation, residential area demand analysis, carbon source estimation, remote sensing sample library, and other aspects.
DOI: 10.57760/sciencedb.16025
title: A dataset of 1km Grid parks and green spaces density in China(2022）
title: 2022年中国1km格网公园与绿地密度数据集

description: Parks and green spaces are high-quality tourist and leisure green spaces within urban and rural areas, with cultural landscape value and ecological product value, which can enhance the quality of life of urban and rural residents. Parks and green spaces are important indicators that reflect the overall environmental level and the quality of life of residents in a region. The spatial distribution of parks and green spaces reflects the landscape resources and ecological resource endowments of residential areas, which can provide reference basis for the formulation of urban and village development plans and is of great significance for optimizing the land layout of residential areas. This article uses the 30 meter land use grid data from the 2022 National Land Change Survey, and uses kilometer grid production software to calculate the density of China's 1km grid parks and green spaces through grid spatial calculation. This dataset can be used for research in urban and rural planning, planning implementation evaluation, regional resident quality of life evaluation, ecological product value estimation, carbon sink calculation, tourism resource development, remote sensing sample library, and other aspects. 
description: Parks and green spaces are high-quality tourist and leisure green spaces within urban and rural areas, with cultural landscape value and ecological product value, which can enhance the quality of life of urban and rural residents. Parks and green spaces are important indicators that reflect the overall environmental level and the quality of life of residents in a region. The spatial distribution of parks and green spaces reflects the landscape resources and ecological resource endowments of residential areas, which can provide reference basis for the formulation of urban and village development plans and is of great significance for optimizing the land layout of residential areas. This article uses the 30 meter land use grid data from the 2022 National Land Change Survey, and uses kilometer grid production software to calculate the density of China's 1km grid parks and green spaces through grid spatial calculation. This dataset can be used for research in urban and rural planning, planning implementation evaluation, regional resident quality of life evaluation, ecological product value estimation, carbon sink calculation, tourism resource development, remote sensing sample library, and other aspects.
DOI: 10.57760/sciencedb.16026
title: The relationship between intrauterine device and ASCUS
title: The relationship between intrauterine device and ASCUS

description: The data about the research titled as The relationship between intrauterine device and ASCUS
description: The data about the research titled as The relationship between intrauterine device and ASCUS
DOI: 10.57760/sciencedb.16030
title: oil paitings
title: oil paitings

description: A total of 8,437 images divided into 10 categories, transferred into different artistic styles of Monet, Van Gogh, Cezanne, and Ukiyo-e by using the CycleGAN model, were identified as AI-generated. The corresponding paintings created by human artists were included in the training dataset.
description: A total of 8,437 images divided into 10 categories, transferred into different artistic styles of Monet, Van Gogh, Cezanne, and Ukiyo-e by using the CycleGAN model, were identified as AI-generated. The corresponding paintings created by human artists were included in the training dataset.
DOI: 10.57760/sciencedb.16031
title: A dataset of 1km Grid Arbor forest land density in China(2022）
title: 2022年中国1km格网乔木林地密度数据集

description: Arbor forests are important natural and strategic resources for the country, and they are also the foundation for the survival and development of forests. Arbor forests play a core role in ensuring the supply of timber and forest products, maintaining national ecological security, and also have a special position in addressing global climate change. The grid density of tree forests is a basic indicator for evaluating the endowment of high-quality forest resources in a region. Dynamic monitoring of it is of great significance for coordinating the production of wood and forest products, and improving the level of forest management. This article uses the 30 meter land use grid data from the 2022 National Land Change Survey, and uses kilometer grid production software to calculate the density of China's 1km grid tree forest through grid spatial calculation. This dataset can be used for research in areas such as national spatial planning, forestry resource planning, ecological asset value estimation, forest carbon sink calculation, and remote sensing sample library construction. 
description: Arbor forests are important natural and strategic resources for the country, and they are also the foundation for the survival and development of forests. Arbor forests play a core role in ensuring the supply of timber and forest products, maintaining national ecological security, and also have a special position in addressing global climate change. The grid density of tree forests is a basic indicator for evaluating the endowment of high-quality forest resources in a region. Dynamic monitoring of it is of great significance for coordinating the production of wood and forest products, and improving the level of forest management. This article uses the 30 meter land use grid data from the 2022 National Land Change Survey, and uses kilometer grid production software to calculate the density of China's 1km grid tree forest through grid spatial calculation. This dataset can be used for research in areas such as national spatial planning, forestry resource planning, ecological asset value estimation, forest carbon sink calculation, and remote sensing sample library construction.
DOI: 10.15468/dl.4q9n6q
title: Occurrence Download

description: A dataset containing 277 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Puma concolor concolor"
 ]
}

 The dataset includes 277 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000939-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.16033
title: A dataset of 1km Grid shrub land density in China(2022）
title: 2022年中国1km格网灌木林地密度数据集

description: Shrubs forests refer to forests with a shrub coverage rate greater than 40%, including both artificial and natural shrub forests. Shrubs and forests play an important role in maintaining national ecological security. From the perspective of forest water conservation, shrubs and forests have a high maximum and effective capacity of litter, and play an indispensable role in water conservation. The density of shrub forests serves as an indicator for evaluating the soil and water conservation capacity of a region, and dynamic monitoring of it is of great significance for coordinating forestry land and improving soil and water conservation capacity according to local conditions. This article uses the 30 meter land use grid data from the 2022 National Land Change Survey, and uses kilometer grid production software to calculate the density of shrub forests in China's 1km grid through grid spatial calculation. This dataset can be used for research in areas such as national spatial planning, forestry resource planning, ecological asset value estimation, forest carbon sink calculation, afforestation effect evaluation, and remote sensing sample library construction. 
description: Shrubs forests refer to forests with a shrub coverage rate greater than 40%, including both artificial and natural shrub forests. Shrubs and forests play an important role in maintaining national ecological security. From the perspective of forest water conservation, shrubs and forests have a high maximum and effective capacity of litter, and play an indispensable role in water conservation. The density of shrub forests serves as an indicator for evaluating the soil and water conservation capacity of a region, and dynamic monitoring of it is of great significance for coordinating forestry land and improving soil and water conservation capacity according to local conditions. This article uses the 30 meter land use grid data from the 2022 National Land Change Survey, and uses kilometer grid production software to calculate the density of shrub forests in China's 1km grid through grid spatial calculation. This dataset can be used for research in areas such as national spatial planning, forestry resource planning, ecological asset value estimation, forest carbon sink calculation, afforestation effect evaluation, and remote sensing sample library construction.
DOI: 10.57760/sciencedb.16034
title: Isotopic dependence of the yield ratios of light fragments from different projectiles and their unified neutron skin thicknesses
title: Isotopic dependence of the yield ratios of light fragments from different projectiles and their unified neutron skin thicknesses

description: The yield ratios of neutron-proton (R(n/p)) and 3H- 3He (R(3H/ 3He)) with reduced rapidity from 0 to 0.5were simulated at 50MeV/u even-even 36−56Ca + 40Ca, even-even 48−78Ni + 58Ni, and 100−139Sn (every third isotopes) +112 Sn for full reduced impact parameters using the isospin-dependent quantum molecular dynamics (IQMD) model. 
description: The yield ratios of neutron-proton (R(n/p)) and 3H- 3He (R(3H/ 3He)) with reduced rapidity from 0 to 0.5were simulated at 50MeV/u even-even 36−56Ca + 40Ca, even-even 48−78Ni + 58Ni, and 100−139Sn (every third isotopes) +112 Sn for full reduced impact parameters using the isospin-dependent quantum molecular dynamics (IQMD) model.
DOI: 10.57760/sciencedb.16043
title: LiDAR Point Clouds Dataset of Ships
title: LiDAR Point Clouds Dataset of Ships

description: A Point Cloud Dataset for Ocean Ship Point Cloud Detection and Tracking
description: A Point Cloud Dataset for Ocean Ship Point Cloud Detection and Tracking