cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.j00214.00100
title: Dynamic Evolution of the Manufacturing International Competitiveness of China and the U.S. against the U.S. Manufacturing Reshoring Policy
title: 美国制造业回流政策背景下中美制造业国际竞争力动态演变分析

description: The basic data (i.e. mat file) included in this dataset is the Multi Regional Input Output Tables (MRIO) compiled by the Asian Development Bank (ADB) from 2009 to 2022 at constant prices. This input-output table includes 62 economies including China, the United States, and rest of the world (RoW), each of which includes 14 manufacturing sectors and 19 non manufacturing sectors. According to the manufacturing industry classification standards released by the Organization for Economic Co operation and Development (OECD) in 2011, the 14 manufacturing sectors mentioned above can be further divided into low, medium, and high-tech manufacturing industries. The code file (i.e. m file) included in this dataset is a MATLAB program file, which calculates the international market share (RIMS) and explicit comparative advantage index (RRCA) of the manufacturing industry in China and the United States, as well as manufacturing industries with different levels of technology, under the value-added caliber. The dynamic changes are decomposed using a structural decomposition analysis model. 
description: The basic data (i.e. mat file) included in this dataset is the Multi Regional Input Output Tables (MRIO) compiled by the Asian Development Bank (ADB) from 2009 to 2022 at constant prices. This input-output table includes 62 economies including China, the United States, and rest of the world (RoW), each of which includes 14 manufacturing sectors and 19 non manufacturing sectors. According to the manufacturing industry classification standards released by the Organization for Economic Co operation and Development (OECD) in 2011, the 14 manufacturing sectors mentioned above can be further divided into low, medium, and high-tech manufacturing industries. The code file (i.e. m file) included in this dataset is a MATLAB program file, which calculates the international market share (RIMS) and explicit comparative advantage index (RRCA) of the manufacturing industry in China and the United States, as well as manufacturing industries with different levels of technology, under the value-added caliber. The dynamic changes are decomposed using a structural decomposition analysis model.
DOI: 10.57760/sciencedb.18856
title: Training dataset for spectral reconstruction in the visible wavelength range
title: 可见光波段光谱重构数据集

description: The spectra in HSIs and synthetic Gaussian line shape spectra
description: The spectra in HSIs and synthetic Gaussian line shape spectra
DOI: 10.57760/sciencedb.18853
title: Focal Spot Polarization Distribution under Polarization Smoothing
title: Focal Spot Polarization Distribution under Polarization Smoothing

description: Polarization distribution was experimentally obtained using rotating quarter-wave plate measurement under a specific wedge angle. The simulation and experimental results are consistent, demonstrating that the focal spot is in a state of coexistence of elliptical and linear polarizations. In addition, the polarization state is determined by the ratio of the amplitudes and the phase difference between the sub-beams. The simulation results showed that the proportion of linear polarization increased with the separation angle of the sub-beam. In contrast, it decreased with the incident light aperture. This research is crucial for accurately describing the polarization distribution and further understanding the laser-plasma interactions.
description: Polarization distribution was experimentally obtained using rotating quarter-wave plate measurement under a specific wedge angle. The simulation and experimental results are consistent, demonstrating that the focal spot is in a state of coexistence of elliptical and linear polarizations. In addition, the polarization state is determined by the ratio of the amplitudes and the phase difference between the sub-beams. The simulation results showed that the proportion of linear polarization increased with the separation angle of the sub-beam. In contrast, it decreased with the incident light aperture. This research is crucial for accurately describing the polarization distribution and further understanding the laser-plasma interactions.
DOI: 10.57760/sciencedb.18858
title: Employee Mindfulness and Creativity Dataset
title: Employee Mindfulness and Creativity Dataset

description: This study used standardized scales to survey 320 IT employees (and their supervisors) on mindfulness, creativity, improvisation, creative process engagement, and perceived leader authenticity. Data analysis employed structural equation modeling, hierarchical multiple regression, and Process Macro 4.0.
description: This study used standardized scales to survey 320 IT employees (and their supervisors) on mindfulness, creativity, improvisation, creative process engagement, and perceived leader authenticity. Data analysis employed structural equation modeling, hierarchical multiple regression, and Process Macro 4.0.
DOI: 10.57760/sciencedb.18844
title: Monitoring data of landslide tilting deformation of retaining-wall locked segment landslide induced by rainfall
title: 降雨诱发挡墙式锁固型滑坡倾斜变形监测数据

description: The article conducts a series of physical model experiments on rainfall induced retaining wall type locked landslides, studies the monitoring data of landslide inclination deformation, identifies its evolution law, and provides scientific basis for landslide disasters. 
description: The article conducts a series of physical model experiments on rainfall induced retaining wall type locked landslides, studies the monitoring data of landslide inclination deformation, identifies its evolution law, and provides scientific basis for landslide disasters.
DOI: 10.57760/sciencedb.o00130.05206
title: The Role of SMS Reminders in Promoting Influenza Vaccination: A Cluster Intervention Study
title: 短信提醒在促进流感疫苗接种中的作用：一项整群干预研究

description: Objective This study aims to evaluate the impact of SMS interventions on improving influenza vaccination rates and timeliness, particularly exploring the effectiveness of high-frequency SMS interventions in low-resource settings.Methods A cluster-randomized intervention design was adopted, with intervention areas selected from Dejiang County (Tongren) and Liuzhi Special District (Liupanshui) in Guizhou Province, based on factors such as age structure, socioeconomic level, and accessibility to medical resources. The high-frequency intervention group (one SMS per week, totaling four times) and the low-frequency intervention group (one SMS) received health education information regarding influenza vaccination.Results The vaccination rate in the high-frequency intervention group was 0.17%, significantly higher than the 0.02% in the low-frequency intervention group (P &lt; 0.01). High-frequency intervention was particularly effective in the elderly, women, and healthcare workers. Intervention frequency, age, gender, and occupation had significant effects on vaccination behavior.Conclusion High-frequency SMS interventions can significantly improve influenza vaccination rates, and combining other measures could further optimize vaccination strategies and enhance overall vaccination effectiveness.
description: Objective This study aims to evaluate the impact of SMS interventions on improving influenza vaccination rates and timeliness, particularly exploring the effectiveness of high-frequency SMS interventions in low-resource settings.Methods A cluster-randomized intervention design was adopted, with intervention areas selected from Dejiang County (Tongren) and Liuzhi Special District (Liupanshui) in Guizhou Province, based on factors such as age structure, socioeconomic level, and accessibility to medical resources. The high-frequency intervention group (one SMS per week, totaling four times) and the low-frequency intervention group (one SMS) received health education information regarding influenza vaccination.Results The vaccination rate in the high-frequency intervention group was 0.17%, significantly higher than the 0.02% in the low-frequency intervention group (P &lt; 0.01). High-frequency intervention was particularly effective in the elderly, women, and healthcare workers. Intervention frequency, age, gender, and occupation had significant effects on vaccination behavior.Conclusion High-frequency SMS interventions can significantly improve influenza vaccination rates, and combining other measures could further optimize vaccination strategies and enhance overall vaccination effectiveness.
DOI: 10.57760/sciencedb.j00003.00039
title: Upper Extremity Rehabilitation Flexor Musculoskeletal Model
title: 上肢康复屈肘肌骨模型

description: 1, Elbow flexion skeletal muscle model OpenSim and piggyback on the muscles.2、Construct mathematical mechanism model, output muscle force and nerve activation curve
description: 1, Elbow flexion skeletal muscle model OpenSim and piggyback on the muscles.2、Construct mathematical mechanism model, output muscle force and nerve activation curve
DOI: 10.57760/sciencedb.18881
title: A dataset of supplementary and primative data for skin aging ameliorated by an NAMPT activator in mice
title: 小鼠中 NAMPT 激活剂改善皮肤老化的补充材料和原始数据集

description: Supplementary materials: This document displays the raw data of western blot in Figures 3 and 7. The file style is. zip. 
description: Supplementary materials: This document displays the raw data of western blot in Figures 3 and 7. The file style is. zip.
DOI: 10.57760/sciencedb.space.02112
title: Space based target simulation dataset
title: 天基空间目标仿真数据集

description: This dataset is generated using MATLAB simulation based on star catalogs, imaging process analysis, and spatial target characteristic analysis. It includes 10 image sequences and takes into account detector noise, camera shake, and other factors. It can be used for research on target detection and tracking. 
description: This dataset is generated using MATLAB simulation based on star catalogs, imaging process analysis, and spatial target characteristic analysis. It includes 10 image sequences and takes into account detector noise, camera shake, and other factors. It can be used for research on target detection and tracking.
DOI: 10.57760/sciencedb.18883
title: 100 W, 1 mJ, Sub-200 fs High Performance Laser Generation Using Cascaded Yb: CGA and Yb: YAG Amplification
title: 100 W, 1 mJ, Sub-200 fs High Performance Laser Generation Using Cascaded Yb: CGA and Yb: YAG Amplification

description: We demonstrate a high-power solid-state femtosecond laser system based on two types of ytterbium (Yb)-doped gain media. This system effectively harnesses the advantages of Yb: CGA and Yb: YAG crystals: broad spectral output capability and power-scaling potential. The Yb: CGA regenerative amplifier achieved an output power of 80 W at a repetition rate of 100 kHz, with spectral full width at a half maximum (FWHM) of 10.2 nm. To the best of our knowledge, this is the highest average power output from a Yb: CGA regenerative amplifier. Subsequently, by cascading the two stages of Yb: YAG single-pass amplifications, the laser output power was increased to 121 W. Owing to the mismatch in the gain peaks between Yb: CGA and Yb: YAG, the amplified spectral FWHM broadens to 13.9 nm. After compression, the laser power and pulse width were 111 W and 184 fs, respectively. Notably, this is the first diode-pumped solid-state laser to achieve millijoule-level pulse energy, pulse widths below 200 fs, and average power exceeding 100 W using a hybrid gain medium amplification scheme. 
description: We demonstrate a high-power solid-state femtosecond laser system based on two types of ytterbium (Yb)-doped gain media. This system effectively harnesses the advantages of Yb: CGA and Yb: YAG crystals: broad spectral output capability and power-scaling potential. The Yb: CGA regenerative amplifier achieved an output power of 80 W at a repetition rate of 100 kHz, with spectral full width at a half maximum (FWHM) of 10.2 nm. To the best of our knowledge, this is the highest average power output from a Yb: CGA regenerative amplifier. Subsequently, by cascading the two stages of Yb: YAG single-pass amplifications, the laser output power was increased to 121 W. Owing to the mismatch in the gain peaks between Yb: CGA and Yb: YAG, the amplified spectral FWHM broadens to 13.9 nm. After compression, the laser power and pulse width were 111 W and 184 fs, respectively. Notably, this is the first diode-pumped solid-state laser to achieve millijoule-level pulse energy, pulse widths below 200 fs, and average power exceeding 100 W using a hybrid gain medium amplification scheme.
DOI: 10.57760/sciencedb.j00139.00152
title: Control and knock out mutant of individual silk gland tissue of silkworm at prepupa stage Raw sequence reads
title: 家蚕敲除突变体及其对照组预蛹期丝腺转录组

description: Transcriptome changes in silk glands during prepupa stage after knockout of GS, GOGAT, AS, and GOT1 genes in silkworms 
description: Transcriptome changes in silk glands during prepupa stage after knockout of GS, GOGAT, AS, and GOT1 genes in silkworms
DOI: 10.57760/sciencedb.18885
title: The experimental date of single-stage 100W Yb:YAG regenerative amplifier
title: The experimental date of single-stage 100W Yb:YAG regenerative amplifier

description: The dataset consists of original data images from a single-stage, hundred-watt level regenerative amplifier based on Yb:YAG implemented in 2024. It includes output power curves, spectra, cavity mode distributions, pulse widths, beam quality, and power stability images.
description: The dataset consists of original data images from a single-stage, hundred-watt level regenerative amplifier based on Yb:YAG implemented in 2024. It includes output power curves, spectra, cavity mode distributions, pulse widths, beam quality, and power stability images.
DOI: 10.57760/sciencedb.18899
title: Raw data of MSMEG_6906
title: Raw data of MSMEG_6906

description: Raw numerical data for MSMEG_6906
description: Raw numerical data for MSMEG_6906
DOI: 10.57760/sciencedb.j00186.00462
title: High-performance Field Emission Rare Earth Tungsten Alloy Cathodes Dataest
title: High-performance Field Emission Rare Earth Tungsten Alloy Cathodes Dataest

description: Based on first-principles calculations using density functional theory, this study constructs atomic models of W cathode surfaces doped with different rare earth atoms. Using a (2×2×1) W(001) surface model, 1 ML of O atoms is adsorbed on the top site of the surface, followed by doping rare earth atoms (La, Ce, Y) into the W-O lattice vacancy sites. The work functions of the system with rare earth atom coverages of 0.5 ML and 1 ML were calculated. Through liquid phase synthesis, plasma discharge sintering, and heat treatment, nano-scale second-phase rare earth oxides (La₂O₃, CeO₂, Y₂O₃, etc.)–tungsten cathodes were produced. Different ignition experiments were designed to simulate various operating conditions. The cascade arc plasma source was used for mass-loss and lifetime prediction tests on the cathode materials. After testing, SEM and EDS microscopic characterizations of the cathode materials were conducted to analyze their composition, morphology, and elemental distribution.
description: Based on first-principles calculations using density functional theory, this study constructs atomic models of W cathode surfaces doped with different rare earth atoms. Using a (2×2×1) W(001) surface model, 1 ML of O atoms is adsorbed on the top site of the surface, followed by doping rare earth atoms (La, Ce, Y) into the W-O lattice vacancy sites. The work functions of the system with rare earth atom coverages of 0.5 ML and 1 ML were calculated. Through liquid phase synthesis, plasma discharge sintering, and heat treatment, nano-scale second-phase rare earth oxides (La₂O₃, CeO₂, Y₂O₃, etc.)–tungsten cathodes were produced. Different ignition experiments were designed to simulate various operating conditions. The cascade arc plasma source was used for mass-loss and lifetime prediction tests on the cathode materials. After testing, SEM and EDS microscopic characterizations of the cathode materials were conducted to analyze their composition, morphology, and elemental distribution.
DOI: 10.57760/sciencedb.18902
title: Deeper affection, more consumptions: Consumer Decision-Making Among People with Different Levels of Intimacy—Evidence from fNIRS
title: Deeper affection, more consumptions: Consumer Decision-Making Among People with Different Levels of Intimacy—Evidence from fNIRS

description: Based on a study on intimate relationships and consumer decision-making, this dataset includes Python code for prediction using machine learning (with leave-one-out cross-validation) and hyperparameter optimization code for the logistic regression and support vector machine (SVM) models, which are the focus during the model validation phase.The entire optimization process was conducted in a Python 3.7 environment, with logistic regression and support vector machine models implemented using the Scikit-learn library. Please ensure that your computer environment meets the above configuration requirements. Through this Bayesian optimization-based automated hyperparameter tuning method, we significantly enhanced the model's predictive performance while effectively avoiding the complexities and uncertainties of manual parameter tuning.If you are interested in the original dataset, please contact the two corresponding authors and specify the purpose and requirements for using the data when reaching out.
description: Based on a study on intimate relationships and consumer decision-making, this dataset includes Python code for prediction using machine learning (with leave-one-out cross-validation) and hyperparameter optimization code for the logistic regression and support vector machine (SVM) models, which are the focus during the model validation phase.The entire optimization process was conducted in a Python 3.7 environment, with logistic regression and support vector machine models implemented using the Scikit-learn library. Please ensure that your computer environment meets the above configuration requirements. Through this Bayesian optimization-based automated hyperparameter tuning method, we significantly enhanced the model's predictive performance while effectively avoiding the complexities and uncertainties of manual parameter tuning.If you are interested in the original dataset, please contact the two corresponding authors and specify the purpose and requirements for using the data when reaching out.
DOI: 10.57760/sciencedb.18903
title: raw data for "Differences in space weathering between the near and far side of the Moon: Evidence from Chang'e-6 samples"
title: raw data for "Differences in space weathering between the near and far side of the Moon: Evidence from Chang'e-6 samples"

description: raw data for "Differences in space weathering between the near and far side of the Moon: Evidence from Chang'e-6 samples"
description: raw data for "Differences in space weathering between the near and far side of the Moon: Evidence from Chang'e-6 samples"
DOI: 10.57760/sciencedb.18904
title: Digitalisation and Green Transformation Synergies and Corporate Debt Financing Costs Dataset of China's Shanghai and Shenzhen A-share Listed Companies, 2007-2022
title: 中国沪深A股上市公司2007-2022年数字化与绿色化转型协同与企业债务融资成本数据集

description: The dataset collects some data from China's Shanghai and Shenzhen A-share listed companies from 2007-2022 in the Cathay Pacific database and the Dibbo database, collects the annual reports of relevant companies in the Juchao information website, uses Python to perform text analysis, obtains the number of frequency of words for digitalisation and greening transformation, and performs data processing using excel to remove the missing values and perform the indentation process through the Stata software.
description: The dataset collects some data from China's Shanghai and Shenzhen A-share listed companies from 2007-2022 in the Cathay Pacific database and the Dibbo database, collects the annual reports of relevant companies in the Juchao information website, uses Python to perform text analysis, obtains the number of frequency of words for digitalisation and greening transformation, and performs data processing using excel to remove the missing values and perform the indentation process through the Stata software.
DOI: 10.57760/sciencedb.18905
title: Mediating Role of Problematic Social Media Use in Relationship Between Perceived Social Support and Academic Procrastination
title: Mediating Role of Problematic Social Media Use in Relationship Between Perceived Social Support and Academic Procrastination

description: Mediating Role of Problematic Social Media Use in Relationship Between Perceived Social Support and Academic Procrastination SPSS data
description: Mediating Role of Problematic Social Media Use in Relationship Between Perceived Social Support and Academic Procrastination SPSS data
DOI: 10.57760/sciencedb.18908
title: Mediating Role of Technostress in Relationship Between Problematic Social Media Use and Academic Burnout
title: Mediating Role of Technostress in Relationship Between Problematic Social Media Use and Academic Burnout

description: Mediating Role of Technostress in Relationship Between Problematic Social Media Use and Academic Burnout SPSS data
description: Mediating Role of Technostress in Relationship Between Problematic Social Media Use and Academic Burnout SPSS data
DOI: 10.57760/sciencedb.18909
title: Dual-enhancements of Stability and Wettability in O3-Na0.95Ni1/3Fe1/3Mn1/3O2 Cathodes by Converting Surface Residual Alkali into Ultalthin Na2Ti3O7 Coatings
title: Dual-enhancements of Stability and Wettability in O3-Na0.95Ni1/3Fe1/3Mn1/3O2 Cathodes by Converting Surface Residual Alkali into Ultalthin Na2Ti3O7 Coatings

description: The software used for data processing in this article includes Jade, Origin, GSAS, Vesta, chi760, Neware, DM, and others.The XRD data was converted into txt format and refined using GSAS software, followed by graphing with Origin. TEM images were processed with DM software. Electrochemical data were graphed using Origin. XPS data were deconvoluted with XPS PEAK and then graphed with Origin.
description: The software used for data processing in this article includes Jade, Origin, GSAS, Vesta, chi760, Neware, DM, and others.The XRD data was converted into txt format and refined using GSAS software, followed by graphing with Origin. TEM images were processed with DM software. Electrochemical data were graphed using Origin. XPS data were deconvoluted with XPS PEAK and then graphed with Origin.
DOI: 10.57760/sciencedb.18920
title: Determination of the mechanism of electroacupuncture at Baihui acupoint in treating post-stroke dysphagia
title: 电针百会穴治疗卒中后吞咽困难作用机制测定

description: Post stroke dysphagia is the most common complication of stroke, and electroacupuncture treatment greatly reduces medication costs for post-stroke dysphagia. A post-stroke swallowing disorder mouse model was constructed through cerebral artery occlusion, and the data included monitoring of mouse weight, evaluation of neurological function, assessment of swallowing disorders, and determination of oxidative damage indicators during the experimental period. 
description: Post stroke dysphagia is the most common complication of stroke, and electroacupuncture treatment greatly reduces medication costs for post-stroke dysphagia. A post-stroke swallowing disorder mouse model was constructed through cerebral artery occlusion, and the data included monitoring of mouse weight, evaluation of neurological function, assessment of swallowing disorders, and determination of oxidative damage indicators during the experimental period.
DOI: 10.57760/sciencedb.18926
title: 16s_meta bacteria
title: 16s_meta细菌

description: This is the original data of 16sRNA sequence of rhizosphere soil collected after planting Phytolacca icosandra.
description: This is the original data of 16sRNA sequence of rhizosphere soil collected after planting Phytolacca icosandra.