cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.08927
title: Visual Analysis of Global Intelligent Sports Research Based on Web of Science Database
title: Visual Analysis of Global Intelligent Sports Research Based on Web of Science Database

description: Original datas of Visual Analysis of Global Intelligent Sports Research Based on Web of Science Database
description: Original datas of Visual Analysis of Global Intelligent Sports Research Based on Web of Science Database
DOI: 10.57760/sciencedb.agriculture.00041
title: Fine classification dataset of crops in the transboundary basin of the Heilongjiang River between Russia and China, 2015-2023
title: 2015-2023年中俄黑龙江跨境流域农作物精细分类数据集

description: The Heilongjiang transboundary basin region, where the Russian Far East and northeastern China are located, is rich in natural resources and has great potential for the development and utilization of agricultural resources. Facing the crisis of increasing global conflicts and shortage of food supply chain, strengthening the monitoring and development and utilization of agricultural resources in the Heilongjiang basin is of great significance to guarantee global food security. In this study, the Heilongjiang transboundary watershed is used as the study area, and machine learning and sample migration methods are applied to construct a comprehensive set of fine classification system for agricultural crops. Based on historical remote sensing image data and the Google Earth Engine (GEE) cloud platform, the classification of major crops such as wheat, corn, soybean and rice in 2015, 2020 and 2023 was completed with an overall accuracy of more than 84% and a Kappa coefficient of more than 0.81, using Landsat images as the data source.
description: The Heilongjiang transboundary basin region, where the Russian Far East and northeastern China are located, is rich in natural resources and has great potential for the development and utilization of agricultural resources. Facing the crisis of increasing global conflicts and shortage of food supply chain, strengthening the monitoring and development and utilization of agricultural resources in the Heilongjiang basin is of great significance to guarantee global food security. In this study, the Heilongjiang transboundary watershed is used as the study area, and machine learning and sample migration methods are applied to construct a comprehensive set of fine classification system for agricultural crops. Based on historical remote sensing image data and the Google Earth Engine (GEE) cloud platform, the classification of major crops such as wheat, corn, soybean and rice in 2015, 2020 and 2023 was completed with an overall accuracy of more than 84% and a Kappa coefficient of more than 0.81, using Landsat images as the data source.
DOI: 10.57760/sciencedb.14388
title: Nb-doped Na0.75Co0.20Mn0.78Nb0.02O2 cathode with excellent cyclability for Na-ion batteries
title: Nb-doped Na0.75Co0.20Mn0.78Nb0.02O2 cathode with excellent cyclability for Na-ion batteries

description: The experimental data in this dataset was generated between 2022 and 2023, and mainly includes raw experimental data obtained from various types of electrochemical tests introduced in the article. Instrument characterization data (SEM, EDS, XRD) as well as manual measurement and photographic data. The software used for electrochemical testing is CHI660E and BTSDA (version 7.6.0.443, generated. nda) for translation. The electrochemical test results may vary depending on the battery environment; The temperature independent electrochemical testing environment in this experiment is a dry environment with a constant temperature of 30 ° C. The electrochemical test results were obtained using Gamry Instruments (version 7.6.0.443).
description: The experimental data in this dataset was generated between 2022 and 2023, and mainly includes raw experimental data obtained from various types of electrochemical tests introduced in the article. Instrument characterization data (SEM, EDS, XRD) as well as manual measurement and photographic data. The software used for electrochemical testing is CHI660E and BTSDA (version 7.6.0.443, generated. nda) for translation. The electrochemical test results may vary depending on the battery environment; The temperature independent electrochemical testing environment in this experiment is a dry environment with a constant temperature of 30 ° C. The electrochemical test results were obtained using Gamry Instruments (version 7.6.0.443).
DOI: 10.57760/sciencedb.12079
title: Double-channel sensor for high precision measurement of methane-based on a dual-path Herriott cell
title: Double-channel sensor for high precision measurement of methane-based on a dual-path Herriott cell

description: A double-channel methane (CH4) sensor was developed using a dual-pass multipass cell (DP-MPC) and a novel method that combines average dual-channel concentration signals with optimized detector gain configuration. This DP-MPC features two input/output coupling holes, resulting in absorption path lengths of approximately 95.8 meters and 35.8 meters, respectively. By optimizing the photodetector gain configuration and averaging the dual-channel concentration signals, the detection performance of the sensor was further enhanced. Allan deviation analysis indicated that under the 1-s integral time measurement precision of the sensor improved to approximately 20 ppb at a concentration of 2 ppm CH4 after dual-channel averaging and detector gain optimization. Meanwhile, the measurement precision improved by 2-3 times under the 10-s integral time. The sensor demonstrated its stability and reliability through continuous outdoor atmospheric CH4 measurements.
description: A double-channel methane (CH4) sensor was developed using a dual-pass multipass cell (DP-MPC) and a novel method that combines average dual-channel concentration signals with optimized detector gain configuration. This DP-MPC features two input/output coupling holes, resulting in absorption path lengths of approximately 95.8 meters and 35.8 meters, respectively. By optimizing the photodetector gain configuration and averaging the dual-channel concentration signals, the detection performance of the sensor was further enhanced. Allan deviation analysis indicated that under the 1-s integral time measurement precision of the sensor improved to approximately 20 ppb at a concentration of 2 ppm CH4 after dual-channel averaging and detector gain optimization. Meanwhile, the measurement precision improved by 2-3 times under the 10-s integral time. The sensor demonstrated its stability and reliability through continuous outdoor atmospheric CH4 measurements.
DOI: 10.57760/sciencedb.12986
title: Serial Reaction Time Task + Subliminal Masked Primes
title: Serial Reaction Time Task + Subliminal Masked Primes

description: Log files related to serial reaction time tasks (SRTT) conducted with subliminal masked primes, presented in either congruent, incongruent, or neutral (no prime) conditions, are provided.Two experiments were conducted. Experiment one used an 8-digit sequence and included 24 participants, while experiment two employed a 10-digit sequence with 36 participants. Each .zip file contains the log files for both the main SRTT task and the practice sessions. The MATLAB code used to extract and process the data is also included in the respective subfolders.
description: Log files related to serial reaction time tasks (SRTT) conducted with subliminal masked primes, presented in either congruent, incongruent, or neutral (no prime) conditions, are provided.Two experiments were conducted. Experiment one used an 8-digit sequence and included 24 participants, while experiment two employed a 10-digit sequence with 36 participants. Each .zip file contains the log files for both the main SRTT task and the practice sessions. The MATLAB code used to extract and process the data is also included in the respective subfolders.
DOI: 10.57760/sciencedb.14529
title: Additive manufacturing of high-performance metallic composites with dispersed nanoparticles and heterogeneous microstructure
title: Additive manufacturing of high-performance metallic composites with dispersed nanoparticles and heterogeneous microstructure

description: Raw data from SEM, TEM, EBSD, XRD, and performance testing.
description: Raw data from SEM, TEM, EBSD, XRD, and performance testing.
DOI: 10.57760/sciencedb.14956
title: The prediction dataset of surface settlement caused by shield tunneling through red sandstone strata in Hefei, China.
title: 中国合肥盾构穿越红砂岩地层引起地表沉降的预测数据集

description: The dataset comprises monitoring data on surface settlement resulting from shield tunneling through red sandstone strata in Hefei, China. This data originates from two projects, A and B, with Project A preceding Project B in terms of construction. Utilizing MATLAB, a predictive model based on machine learning algorithms was developed. The surface settlement data from Project A served as the training dataset for this model, which was then applied to forecast the settlement at certain surface monitoring points for Project B. The dataset includes the following: 1. Surface settlement monitoring data for both Projects A and B; 2. Predicted settlement data for Project B.
description: The dataset comprises monitoring data on surface settlement resulting from shield tunneling through red sandstone strata in Hefei, China. This data originates from two projects, A and B, with Project A preceding Project B in terms of construction. Utilizing MATLAB, a predictive model based on machine learning algorithms was developed. The surface settlement data from Project A served as the training dataset for this model, which was then applied to forecast the settlement at certain surface monitoring points for Project B. The dataset includes the following: 1. Surface settlement monitoring data for both Projects A and B; 2. Predicted settlement data for Project B.
DOI: 10.57760/sciencedb.space.01197
title: Dataset for "Secondary reconnection between interlinked flux tubes driven by magnetic reconnection with a short x-line"
title: Dataset for "Secondary reconnection between interlinked flux tubes driven by magnetic reconnection with a short x-line"

description: The dataset is the result of three-dimensional (3-D) particle-in-cell(PIC) simulations of magnetic reconnection produced by the VPIC code. Detailed data include: three-dimensional distribution of magnetic field and current density, two-dimensional distribution of magnetic fields, ion flow velocity, current density, and energy conversion rate. The data can be read using IDL and paraview. The dataset can be used to study magnetic reconnection in 3-D space.
description: The dataset is the result of three-dimensional (3-D) particle-in-cell(PIC) simulations of magnetic reconnection produced by the VPIC code. Detailed data include: three-dimensional distribution of magnetic field and current density, two-dimensional distribution of magnetic fields, ion flow velocity, current density, and energy conversion rate. The data can be read using IDL and paraview. The dataset can be used to study magnetic reconnection in 3-D space.
DOI: 10.57760/sciencedb.17555
title: Research on Emerging Technology Identification Based on the Semantic Association of Technology Structure-Function
title: 基于技术结构-功能语义关联的新兴技术识别研究

description: Annex 1: Information Sheet on Technology Clusters for Technology Structures and Technology Functions.xlsxAnnex 2: Information Sheet on Emerging Technology Structures-Functions.xlsx
description: Annex 1: Information Sheet on Technology Clusters for Technology Structures and Technology Functions.xlsxAnnex 2: Information Sheet on Emerging Technology Structures-Functions.xlsx
DOI: 10.6084/m9.figshare.28878338
title: AP_3_(+)3.itmx3D OrbiSIMS Metabolic Profiling of E. coli Reveals Effects of FMT- Derived Faecal Filtrate and Phage-Azithromycin on Amino Acids and Lipid Pathways.

description: Antimicrobial resistance (AMR) represents a pressing global health threat, necessitating innovative alternatives to traditional antibiotics. Among these, bacteriophage therapy and faecal microbiota transplantation (FMT)-based interventions have emerged as promising strategies. However, the metabolic responses of multidrug-resistant (MDR) pathogens to these therapies remain poorly understood. In this study, we applied advanced 3D Orbitrap Secondary Ion Mass Spectrometry (3D OrbiSIMS) metabolomics, offering ultra-high mass resolution (&gt;240,000) and sub-2 ppm mass accuracy, to profile metabolic alterations in pathogenic Escherichia coli strains, Enteroaggregative (EAEC) and Enteroinvasive (EIEC), following treatment with lytic phage vB_EcoM_SVMS_56, phage–azithromycin combination therapy, and sterile faecal filtrates from healthy FMT donors (n = 4; mean age 33.75 ± 2.38 years).
DOI: 10.6084/m9.figshare.28878338.v1
title: AP_3_(+)3.itmx3D OrbiSIMS Metabolic Profiling of E. coli Reveals Effects of FMT- Derived Faecal Filtrate and Phage-Azithromycin on Amino Acids and Lipid Pathways.

description: Antimicrobial resistance (AMR) represents a pressing global health threat, necessitating innovative alternatives to traditional antibiotics. Among these, bacteriophage therapy and faecal microbiota transplantation (FMT)-based interventions have emerged as promising strategies. However, the metabolic responses of multidrug-resistant (MDR) pathogens to these therapies remain poorly understood. In this study, we applied advanced 3D Orbitrap Secondary Ion Mass Spectrometry (3D OrbiSIMS) metabolomics, offering ultra-high mass resolution (&gt;240,000) and sub-2 ppm mass accuracy, to profile metabolic alterations in pathogenic Escherichia coli strains, Enteroaggregative (EAEC) and Enteroinvasive (EIEC), following treatment with lytic phage vB_EcoM_SVMS_56, phage–azithromycin combination therapy, and sterile faecal filtrates from healthy FMT donors (n = 4; mean age 33.75 ± 2.38 years).
DOI: 10.6084/m9.figshare.28878596
title: D_5_(+)3.itm3D OrbiSIMS Metabolic Profiling of E. coli Reveals Effects of FMT- Derived Faecal Filtrate and Phage-Azithromycin on Amino Acids and Lipid Pathways.

description: Antimicrobial resistance (AMR) represents a pressing global health threat, necessitating innovative alternatives to traditional antibiotics. Among these, bacteriophage therapy and faecal microbiota transplantation (FMT)-based interventions have emerged as promising strategies. However, the metabolic responses of multidrug-resistant (MDR) pathogens to these therapies remain poorly understood. In this study, we applied advanced 3D Orbitrap Secondary Ion Mass Spectrometry (3D OrbiSIMS) metabolomics, offering ultra-high mass resolution (&gt;240,000) and sub-2 ppm mass accuracy, to profile metabolic alterations in pathogenic Escherichia coli strains, Enteroaggregative (EAEC) and Enteroinvasive (EIEC), following treatment with lytic phage vB_EcoM_SVMS_56, phage–azithromycin combination therapy, and sterile faecal filtrates from healthy FMT donors (n = 4; mean age 33.75 ± 2.38 years).
DOI: 10.6084/m9.figshare.28878596.v1
title: D_5_(+)3.itm3D OrbiSIMS Metabolic Profiling of E. coli Reveals Effects of FMT- Derived Faecal Filtrate and Phage-Azithromycin on Amino Acids and Lipid Pathways.

description: Antimicrobial resistance (AMR) represents a pressing global health threat, necessitating innovative alternatives to traditional antibiotics. Among these, bacteriophage therapy and faecal microbiota transplantation (FMT)-based interventions have emerged as promising strategies. However, the metabolic responses of multidrug-resistant (MDR) pathogens to these therapies remain poorly understood. In this study, we applied advanced 3D Orbitrap Secondary Ion Mass Spectrometry (3D OrbiSIMS) metabolomics, offering ultra-high mass resolution (&gt;240,000) and sub-2 ppm mass accuracy, to profile metabolic alterations in pathogenic Escherichia coli strains, Enteroaggregative (EAEC) and Enteroinvasive (EIEC), following treatment with lytic phage vB_EcoM_SVMS_56, phage–azithromycin combination therapy, and sterile faecal filtrates from healthy FMT donors (n = 4; mean age 33.75 ± 2.38 years).
DOI: 10.6084/m9.figshare.28878341.v1
title: AZM_1_(-)2.itm3D OrbiSIMS Metabolic Profiling of E. coli Reveals Effects of FMT- Derived Faecal Filtrate and Phage-Azithromycin on Amino Acids and Lipid Pathways.

description: Antimicrobial resistance (AMR) represents a pressing global health threat, necessitating innovative alternatives to traditional antibiotics. Among these, bacteriophage therapy and faecal microbiota transplantation (FMT)-based interventions have emerged as promising strategies. However, the metabolic responses of multidrug-resistant (MDR) pathogens to these therapies remain poorly understood. In this study, we applied advanced 3D Orbitrap Secondary Ion Mass Spectrometry (3D OrbiSIMS) metabolomics, offering ultra-high mass resolution (&gt;240,000) and sub-2 ppm mass accuracy, to profile metabolic alterations in pathogenic Escherichia coli strains, Enteroaggregative (EAEC) and Enteroinvasive (EIEC), following treatment with lytic phage vB_EcoM_SVMS_56, phage–azithromycin combination therapy, and sterile faecal filtrates from healthy FMT donors (n = 4; mean age 33.75 ± 2.38 years).
DOI: 10.6084/m9.figshare.28878347
title: AZM_1_(-)1.itmx3D OrbiSIMS Metabolic Profiling of E. coli Reveals Effects of FMT- Derived Faecal Filtrate and Phage-Azithromycin on Amino Acids and Lipid Pathways.

description: Antimicrobial resistance (AMR) represents a pressing global health threat, necessitating innovative alternatives to traditional antibiotics. Among these, bacteriophage therapy and faecal microbiota transplantation (FMT)-based interventions have emerged as promising strategies. However, the metabolic responses of multidrug-resistant (MDR) pathogens to these therapies remain poorly understood. In this study, we applied advanced 3D Orbitrap Secondary Ion Mass Spectrometry (3D OrbiSIMS) metabolomics, offering ultra-high mass resolution (&gt;240,000) and sub-2 ppm mass accuracy, to profile metabolic alterations in pathogenic Escherichia coli strains, Enteroaggregative (EAEC) and Enteroinvasive (EIEC), following treatment with lytic phage vB_EcoM_SVMS_56, phage–azithromycin combination therapy, and sterile faecal filtrates from healthy FMT donors (n = 4; mean age 33.75 ± 2.38 years).
DOI: 10.6084/m9.figshare.28878593
title: AZM_2_(-)3.itmx3D OrbiSIMS Metabolic Profiling of E. coli Reveals Effects of FMT- Derived Faecal Filtrate and Phage-Azithromycin on Amino Acids and Lipid Pathways.

description: Antimicrobial resistance (AMR) represents a pressing global health threat, necessitating innovative alternatives to traditional antibiotics. Among these, bacteriophage therapy and faecal microbiota transplantation (FMT)-based interventions have emerged as promising strategies. However, the metabolic responses of multidrug-resistant (MDR) pathogens to these therapies remain poorly understood. In this study, we applied advanced 3D Orbitrap Secondary Ion Mass Spectrometry (3D OrbiSIMS) metabolomics, offering ultra-high mass resolution (&gt;240,000) and sub-2 ppm mass accuracy, to profile metabolic alterations in pathogenic Escherichia coli strains, Enteroaggregative (EAEC) and Enteroinvasive (EIEC), following treatment with lytic phage vB_EcoM_SVMS_56, phage–azithromycin combination therapy, and sterile faecal filtrates from healthy FMT donors (n = 4; mean age 33.75 ± 2.38 years).
DOI: 10.6084/m9.figshare.28878599.v1
title: D_6_(-)2.itax3D OrbiSIMS Metabolic Profiling of E. coli Reveals Effects of FMT- Derived Faecal Filtrate and Phage-Azithromycin on Amino Acids and Lipid Pathways.

description: Antimicrobial resistance (AMR) represents a pressing global health threat, necessitating innovative alternatives to traditional antibiotics. Among these, bacteriophage therapy and faecal microbiota transplantation (FMT)-based interventions have emerged as promising strategies. However, the metabolic responses of multidrug-resistant (MDR) pathogens to these therapies remain poorly understood. In this study, we applied advanced 3D Orbitrap Secondary Ion Mass Spectrometry (3D OrbiSIMS) metabolomics, offering ultra-high mass resolution (&gt;240,000) and sub-2 ppm mass accuracy, to profile metabolic alterations in pathogenic Escherichia coli strains, Enteroaggregative (EAEC) and Enteroinvasive (EIEC), following treatment with lytic phage vB_EcoM_SVMS_56, phage–azithromycin combination therapy, and sterile faecal filtrates from healthy FMT donors (n = 4; mean age 33.75 ± 2.38 years).
DOI: 10.6084/m9.figshare.28878341
title: AZM_1_(-)2.itm3D OrbiSIMS Metabolic Profiling of E. coli Reveals Effects of FMT- Derived Faecal Filtrate and Phage-Azithromycin on Amino Acids and Lipid Pathways.

description: Antimicrobial resistance (AMR) represents a pressing global health threat, necessitating innovative alternatives to traditional antibiotics. Among these, bacteriophage therapy and faecal microbiota transplantation (FMT)-based interventions have emerged as promising strategies. However, the metabolic responses of multidrug-resistant (MDR) pathogens to these therapies remain poorly understood. In this study, we applied advanced 3D Orbitrap Secondary Ion Mass Spectrometry (3D OrbiSIMS) metabolomics, offering ultra-high mass resolution (&gt;240,000) and sub-2 ppm mass accuracy, to profile metabolic alterations in pathogenic Escherichia coli strains, Enteroaggregative (EAEC) and Enteroinvasive (EIEC), following treatment with lytic phage vB_EcoM_SVMS_56, phage–azithromycin combination therapy, and sterile faecal filtrates from healthy FMT donors (n = 4; mean age 33.75 ± 2.38 years).
DOI: 10.6084/m9.figshare.28878344
title: AP_2_(-)3.itmx3D OrbiSIMS Metabolic Profiling of E. coli Reveals Effects of FMT- Derived Faecal Filtrate and Phage-Azithromycin on Amino Acids and Lipid Pathways.

description: Antimicrobial resistance (AMR) represents a pressing global health threat, necessitating innovative alternatives to traditional antibiotics. Among these, bacteriophage therapy and faecal microbiota transplantation (FMT)-based interventions have emerged as promising strategies. However, the metabolic responses of multidrug-resistant (MDR) pathogens to these therapies remain poorly understood. In this study, we applied advanced 3D Orbitrap Secondary Ion Mass Spectrometry (3D OrbiSIMS) metabolomics, offering ultra-high mass resolution (&gt;240,000) and sub-2 ppm mass accuracy, to profile metabolic alterations in pathogenic Escherichia coli strains, Enteroaggregative (EAEC) and Enteroinvasive (EIEC), following treatment with lytic phage vB_EcoM_SVMS_56, phage–azithromycin combination therapy, and sterile faecal filtrates from healthy FMT donors (n = 4; mean age 33.75 ± 2.38 years).
DOI: 10.6084/m9.figshare.28878347.v1
title: AZM_1_(-)1.itmx3D OrbiSIMS Metabolic Profiling of E. coli Reveals Effects of FMT- Derived Faecal Filtrate and Phage-Azithromycin on Amino Acids and Lipid Pathways.

description: Antimicrobial resistance (AMR) represents a pressing global health threat, necessitating innovative alternatives to traditional antibiotics. Among these, bacteriophage therapy and faecal microbiota transplantation (FMT)-based interventions have emerged as promising strategies. However, the metabolic responses of multidrug-resistant (MDR) pathogens to these therapies remain poorly understood. In this study, we applied advanced 3D Orbitrap Secondary Ion Mass Spectrometry (3D OrbiSIMS) metabolomics, offering ultra-high mass resolution (&gt;240,000) and sub-2 ppm mass accuracy, to profile metabolic alterations in pathogenic Escherichia coli strains, Enteroaggregative (EAEC) and Enteroinvasive (EIEC), following treatment with lytic phage vB_EcoM_SVMS_56, phage–azithromycin combination therapy, and sterile faecal filtrates from healthy FMT donors (n = 4; mean age 33.75 ± 2.38 years).