cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.hjs.00043
title: Research on the Application of Lightweight Neural Network Models for Pulse Parameter Prediction
title: 轻量级神经网络模型在脉冲参数预测中的应用研究

description: In nuclear radiation measurement, pulse distortion is inevitable due to the interference of the measurement system itself and the measurement environment. If the parameters of such pulses cannot be accurately estimated, the resolution performance of the energy spectrum will be reduced. [Purpose]: In order to accurately estimate the height of distorted pulses, this article proposes using six lightweight neural network models for parameter prediction of distorted pulses, including pulse amplitude parameters and distortion time parameters. [Methods]: Based on the distorted pulses generated by predefined mathematical models, the dataset required for model training is obtained through digital triangulation. [Results]: When evaluating the parameter prediction performance of six neural network models, the UNet model achieved the lowest relative error on the test set, with a relative error of approximately 0.57% for amplitude parameters and 3.51% for time parameters. In the signal-to-noise ratio experiment, noise was superimposed on the test set to obtain noise test sets with different signal-to-noise ratios. [Conclusions]: The results show that the proposed models can achieve accurate estimation of the parameters of distorted pulses.
description: In nuclear radiation measurement, pulse distortion is inevitable due to the interference of the measurement system itself and the measurement environment. If the parameters of such pulses cannot be accurately estimated, the resolution performance of the energy spectrum will be reduced. [Purpose]: In order to accurately estimate the height of distorted pulses, this article proposes using six lightweight neural network models for parameter prediction of distorted pulses, including pulse amplitude parameters and distortion time parameters. [Methods]: Based on the distorted pulses generated by predefined mathematical models, the dataset required for model training is obtained through digital triangulation. [Results]: When evaluating the parameter prediction performance of six neural network models, the UNet model achieved the lowest relative error on the test set, with a relative error of approximately 0.57% for amplitude parameters and 3.51% for time parameters. In the signal-to-noise ratio experiment, noise was superimposed on the test set to obtain noise test sets with different signal-to-noise ratios. [Conclusions]: The results show that the proposed models can achieve accurate estimation of the parameters of distorted pulses.
DOI: 10.57760/sciencedb.10710
title: Data for Excitation of Low- and High-frequency Magnetosonic Whistler Waves Associated with SLAMS in the Terrestrial Foreshock
title: Data for Excitation of Low- and High-frequency Magnetosonic Whistler Waves Associated with SLAMS in the Terrestrial Foreshock

description: The database includes the plasma data used in instability analyses and the theoretical analysis results based on the linear model.
description: The database includes the plasma data used in instability analyses and the theoretical analysis results based on the linear model.
DOI: 10.57760/sciencedb.10714
title: A Micro-expression Recognition Method Based on Multi-level Information Fusion Network
title: 于多层级信息融合网络的微表情识别方法

description: Dataset and related code of micro expression recognition method based on multi-level information fusion network 
description: Dataset and related code of micro expression recognition method based on multi-level information fusion network
DOI: 10.57760/sciencedb.10715
title: Mechanism of Methylase SUV39H2 Promoting Proliferation and Invasion of Prostate cancer
title: Mechanism of Methylase SUV39H2 Promoting Proliferation and Invasion of Prostate cancer

description: 用于qPCR的引物序列
description: 用于qPCR的引物序列
DOI: 10.57760/sciencedb.10720
title: Basic research and applied research in NLP
title: Basic research and applied research in NLP

description: This dataset contains information on 44,152 U.S. patents granted in the field of Natural Language Processing (NLP) between 2001 and 2023 for examining the relationship between basic and applied research. Data was collected from Google Patents Public Data and the USPTO bulk data repository and is stored in Stata format. 
description: This dataset contains information on 44,152 U.S. patents granted in the field of Natural Language Processing (NLP) between 2001 and 2023 for examining the relationship between basic and applied research. Data was collected from Google Patents Public Data and the USPTO bulk data repository and is stored in Stata format.
DOI: 10.57760/sciencedb.10721
title: Dual-targeting Zein Janus nanoparticles with disulfiram-loaded for immune/chemodynamic synergic therapy of Glioblastoma
title: Dual-targeting Zein Janus nanoparticles with disulfiram-loaded for immune/chemodynamic synergic therapy of Glioblastoma

description: Data for Dual-targeting Zein Janus nanoparticles with disulfiram-loaded for immune/chemodynamic synergic therapy of Glioblastoma 
description: Data for Dual-targeting Zein Janus nanoparticles with disulfiram-loaded for immune/chemodynamic synergic therapy of Glioblastoma
DOI: 10.57760/sciencedb.10723
title: Survey on the willingness of female vocational school students to receive HPV vaccine
title: Survey on the willingness of female vocational school students to receive HPV vaccine

description: A questionnaire was administered to female students aged 16-20 in four secondary vocational schools in Changzhou City of Jiangsu Province.
description: A questionnaire was administered to female students aged 16-20 in four secondary vocational schools in Changzhou City of Jiangsu Province.
DOI: 10.57760/sciencedb.10726
title: A dataset of genetic screening level of newborns of different weight delivered by GDM mothers, China，2017-2021
title: A dataset of genetic screening level of newborns of different weight delivered by GDM mothers, China，2017-2021

description: The data contains all GDM patients diagnosed in Changzhou Maternal and Child Health Care Hospital from January 2017 to December 2021 according to the diagnostic criteria for GDM and grouped them according to fetal birth weight: GDM combined with FGR (G1 group), with normal birth weight (G2 group), and with macrosomia (G3 group).According to the Technical Guidelines for Neonatal Disease Screening,We detected the levels of 11 amino acids, including ALA, ARG, CIT, GLY, LEU+ILE+PRO-OH, MET, ORN, PHE, PRO, TYR, and VAL; 31 carnitine, including CO, C2, C3, C3DC+C4OH, C4, C4DC+C5OH, C5, C5:1, C5DC+C6OH, C6, C6DC, C8, C8:1, C10, C10:1, C10:2, C12, C12:1, C14, C14:1, C14:2, C14OH, C16, C16:1, C16:1OH, C16OH, C18, C18:1, C18:1OH, C18:2, C18OH.
description: The data contains all GDM patients diagnosed in Changzhou Maternal and Child Health Care Hospital from January 2017 to December 2021 according to the diagnostic criteria for GDM and grouped them according to fetal birth weight: GDM combined with FGR (G1 group), with normal birth weight (G2 group), and with macrosomia (G3 group).According to the Technical Guidelines for Neonatal Disease Screening,We detected the levels of 11 amino acids, including ALA, ARG, CIT, GLY, LEU+ILE+PRO-OH, MET, ORN, PHE, PRO, TYR, and VAL; 31 carnitine, including CO, C2, C3, C3DC+C4OH, C4, C4DC+C5OH, C5, C5:1, C5DC+C6OH, C6, C6DC, C8, C8:1, C10, C10:1, C10:2, C12, C12:1, C14, C14:1, C14:2, C14OH, C16, C16:1, C16:1OH, C16OH, C18, C18:1, C18:1OH, C18:2, C18OH.
DOI: 10.57760/sciencedb.10728
title: Research on the Information Content of Limit Order Book from the Perspective of Deep Learning
title: 深度学习视角下限价指令簿信息含量研究

description: 该数据集全面涵盖了本文讨论的主要研究结果。通过基于逐笔报价的库存数据重建订单簿，我们严格遵循本文第 2 章中概述的方法构建深度学习数据集，并利用该数据集来训练深度神经网络。训练完成后，我们根据输入特征的重要性对输入特征进行排序，并相应地生成相应的结果。整个数据处理过程都是使用Matlab进行的，所有处理步骤都可以在文章中找到详细的描述。此外，该数据集涵盖了 2019 年的所有交易日，并包括所有样本股票的特征重要性结果。
description: 该数据集全面涵盖了本文讨论的主要研究结果。通过基于逐笔报价的库存数据重建订单簿，我们严格遵循本文第 2 章中概述的方法构建深度学习数据集，并利用该数据集来训练深度神经网络。训练完成后，我们根据输入特征的重要性对输入特征进行排序，并相应地生成相应的结果。整个数据处理过程都是使用Matlab进行的，所有处理步骤都可以在文章中找到详细的描述。此外，该数据集涵盖了 2019 年的所有交易日，并包括所有样本股票的特征重要性结果。
DOI: 10.57760/sciencedb.10732
title: source of Fig 8 for elegant simulation of beam population with chromaticity
title: 图8模拟源文件

description: the original setup file in Elegant of figure 8
description: the original setup file in Elegant of figure 8
DOI: 10.57760/sciencedb.10731
title: heart function
title: heart function

description: The effect of ginkgolide C on cardiac function in rats with ischemia-reperfusion injury 
description: The effect of ginkgolide C on cardiac function in rats with ischemia-reperfusion injury
DOI: 10.57760/sciencedb.j00214.00027
title: Digital Transformation of Commercial Banks and Systemic Vulnerability
title: 商业银行数字化转型与系统脆弱性

description: Each table corresponds to a code file named the table's serial number.
description: Each table corresponds to a code file named the table's serial number.
DOI: 10.57760/sciencedb.10751
title: Raw Data of MoCA Normative Data in Mainland China
title: Raw Data of MoCA Normative Data in Mainland China

description: The Montreal Cognitive Assessment (MoCA, Mandarin-8.1) is an adapted version of the original English MoCA 8.1, tailored specifically to the linguistic and cultural characteristics of the Chinese population. This study took over several years, involving data collection from 3,097 healthy Chinese individuals to establish norms appropriate for this demographic. The dataset includes information on age, gender, education level, as well as subdomain scores and MoCA total scores for each participant.
description: The Montreal Cognitive Assessment (MoCA, Mandarin-8.1) is an adapted version of the original English MoCA 8.1, tailored specifically to the linguistic and cultural characteristics of the Chinese population. This study took over several years, involving data collection from 3,097 healthy Chinese individuals to establish norms appropriate for this demographic. The dataset includes information on age, gender, education level, as well as subdomain scores and MoCA total scores for each participant.
DOI: 10.57760/sciencedb.10766
title: Systematic review of instruments that measure self-efficacy
title: Systematic review of instruments that measure self-efficacy

description: Inclusion criteria were based on the PICO strategy for reviews of psychometric instruments (Mousa Alavi et al., 2022), as publications should involve parents of children and/or adolescents (Participants), examine self-report instruments of parental self-efficacy (Instrument), focusing especially on the measurement of parental self-efficacy (Construct), and assess one or more psychometric properties of content validity, structural validity, internal consistency, cross-cultural validity / measurement invariance, measurement error and reliability, criterion validity, hypotheses testing for construct validity, or responsiveness analysis (Outcomes).
description: Inclusion criteria were based on the PICO strategy for reviews of psychometric instruments (Mousa Alavi et al., 2022), as publications should involve parents of children and/or adolescents (Participants), examine self-report instruments of parental self-efficacy (Instrument), focusing especially on the measurement of parental self-efficacy (Construct), and assess one or more psychometric properties of content validity, structural validity, internal consistency, cross-cultural validity / measurement invariance, measurement error and reliability, criterion validity, hypotheses testing for construct validity, or responsiveness analysis (Outcomes).
DOI: 10.57760/sciencedb.10775
title: Raw Seismic Waveform Datasets for Real-time Discrimination
title: Raw Seismic Waveform Datasets for Real-time Discrimination

description: Six raw seismic waveform datasets have been compiled from a portion of the localized University of Utah Seismograph Stations (UUSS) data for modeling and testing, the global Stanford Earthquake Dataset (STEAD) for generalization testing, and the Russia-Ukraine conflict data for case study analysis.Additionally, a code package is provided to demonstrate the application of tiny deep learning on microcontroller units. The model, named MCU-Quake, can distinguish seismological signals from ambient noise and explosions in real-time using low-cost microcontrollers and short-duration data. This capability is particularly valuable for monitoring catastrophic natural hazards.
description: Six raw seismic waveform datasets have been compiled from a portion of the localized University of Utah Seismograph Stations (UUSS) data for modeling and testing, the global Stanford Earthquake Dataset (STEAD) for generalization testing, and the Russia-Ukraine conflict data for case study analysis.Additionally, a code package is provided to demonstrate the application of tiny deep learning on microcontroller units. The model, named MCU-Quake, can distinguish seismological signals from ambient noise and explosions in real-time using low-cost microcontrollers and short-duration data. This capability is particularly valuable for monitoring catastrophic natural hazards.
DOI: 10.57760/sciencedb.10785
title: Intrinsic self-affirmation buffers the negative effects of cyber-ostracism on online cooperation
title: Intrinsic self-affirmation buffers the negative effects of cyber-ostracism on online cooperation

description: Across three experiments (N =460), we examined the impact of cyber-ostracism on online cooperation (Experiments 1-3) and the moderating effect of self-affirmation (Experiments 2 and 3). We manipulated cyber-ostracism using a recall writing task and used the number of tokens donated in an online public goods game as a measure of online cooperation.
description: Across three experiments (N =460), we examined the impact of cyber-ostracism on online cooperation (Experiments 1-3) and the moderating effect of self-affirmation (Experiments 2 and 3). We manipulated cyber-ostracism using a recall writing task and used the number of tokens donated in an online public goods game as a measure of online cooperation.
DOI: 10.57760/sciencedb.10749
title: Fourier phase retrieval using physics-enhanced deep learning
title: Fourier phase retrieval using physics-enhanced deep learning

description: this dataset contain figure code and data of paper “Fourier phase retrieval using physics-enhanced deep learning”
description: this dataset contain figure code and data of paper “Fourier phase retrieval using physics-enhanced deep learning”
DOI: 10.57760/sciencedb.10809
title: Single-cell RNA-sequencing of human cytomegalovirus-infected humanized mice
title: Single-cell RNA-sequencing of human cytomegalovirus-infected humanized mice

description: Human cytomegalovirus (HCMV) is a common herpesvirus that persistently infects a large portion of the world's population. Despite the robust host immune response, HCMV is able to replicate, evade host defenses, and establish latency throughout the lifespan by developing multiple immunomodulatory strategies, making the studies on the interaction between HCMV infection and host response particularly important. HCMV has a strict host specificity that specifically infects humans. Therefore, most of the in vivo researches of HCMV rely on clinical samples. Fortunately, the establishment of humanized mouse models allows for convenient in-lab animal experiments involving HCMV infection. Single-cell RNA sequencing(scRNA-seq) enables the study of the relationship between viral and host gene expressions at the single-cell level within host cells. In this study, we assessed the gene expression alterations of PBMCs at the single-cell level within HCMV-infected humanized mice, which sheds light onto the virus-host interactions in the context of HCMV infecton of humanized mice and provides a valuable dataset for the related researches.
description: Human cytomegalovirus (HCMV) is a common herpesvirus that persistently infects a large portion of the world's population. Despite the robust host immune response, HCMV is able to replicate, evade host defenses, and establish latency throughout the lifespan by developing multiple immunomodulatory strategies, making the studies on the interaction between HCMV infection and host response particularly important. HCMV has a strict host specificity that specifically infects humans. Therefore, most of the in vivo researches of HCMV rely on clinical samples. Fortunately, the establishment of humanized mouse models allows for convenient in-lab animal experiments involving HCMV infection. Single-cell RNA sequencing(scRNA-seq) enables the study of the relationship between viral and host gene expressions at the single-cell level within host cells. In this study, we assessed the gene expression alterations of PBMCs at the single-cell level within HCMV-infected humanized mice, which sheds light onto the virus-host interactions in the context of HCMV infecton of humanized mice and provides a valuable dataset for the related researches.
DOI: 10.57760/sciencedb.j00217.02680
title: The Function of NK Cells in Tumor Metastasis and Tumor microenvironment
title: NK细胞在肿瘤转移和肿瘤微环境的作用

description: Innate immune natural killer (NK) cells comprise a unique population of innate lymphoid cells endowed with intrinsic abilities to identify and eliminate virally infected cells and tumour cells. NK cells are capable of killing metastatic cancer cells without prior activation by antigen-presenting cells beforehand.Possessing multiple cytotoxicity mechanisms and the ability to modulate the immune response through cytokine production, NK cells play a pivotal role in anticancer immunity. Among immune cells, NK cells can, directly and indirectly, interact with circulating tumor cells (CTCs) to control cancer metastasis.In this Review, We discuss how metastatic tumors escape the NK cell attack and we focus on enhance NK cell targeting and persistence in the tumor microenvironment.
description: Innate immune natural killer (NK) cells comprise a unique population of innate lymphoid cells endowed with intrinsic abilities to identify and eliminate virally infected cells and tumour cells. NK cells are capable of killing metastatic cancer cells without prior activation by antigen-presenting cells beforehand.Possessing multiple cytotoxicity mechanisms and the ability to modulate the immune response through cytokine production, NK cells play a pivotal role in anticancer immunity. Among immune cells, NK cells can, directly and indirectly, interact with circulating tumor cells (CTCs) to control cancer metastasis.In this Review, We discuss how metastatic tumors escape the NK cell attack and we focus on enhance NK cell targeting and persistence in the tumor microenvironment.
DOI: 10.57760/sciencedb.10833
title: Annotation of the genome for the Banna miniature inbred pig
title: Annotation of the genome for the Banna miniature inbred pig

description: The annotation includes protein-coding genes, ncRNAs, and repeat elements, which are stored in three separate files in gff format. The corresponding genome assembly has been deposited in the GWH database under accession number GWHEUVB00000000.1 and is publicly available at https://ngdc.cncb.ac.cn/gwh.
description: The annotation includes protein-coding genes, ncRNAs, and repeat elements, which are stored in three separate files in gff format. The corresponding genome assembly has been deposited in the GWH database under accession number GWHEUVB00000000.1 and is publicly available at https://ngdc.cncb.ac.cn/gwh.
DOI: 10.57760/sciencedb.10835
title: FY-3E GNSS-R L1 Sample Data
title: FY-3E GNSS-R L1 Sample Data

description: Samples of FY-3E/GNOS-II GNSS-R L1 data on 20240530.A data format document is included.
description: Samples of FY-3E/GNOS-II GNSS-R L1 data on 20240530.A data format document is included.
DOI: 10.57760/sciencedb.j00217.02691
title: Role and mechanism of NLRP3 inflammasome in liver injury
title: NLRP3炎症小体在肝损伤中的作用和机制

description: Liver injury refers to a pathological state in which the liver tissue is damaged by various factors, resulting in changes in its function and structure. The liver is one of the most important metabolic organs in the human body, which is responsible for a variety of physiological functions, such as detoxification, protein synthesis, energy storage and so on. Therefore, liver injury may have a serious impact on human health. The common types of liver injury include HIRI, chronic liver injury (CLD), acute liver injury (ALI) and so on. This paper is mainly based on HIRI. The over-activated NOD-like receptor thermal protein domain associated protein-3 (NLRP3) inflammatory bodies of NOD-like receptors promote the progression of liver injury by inducing cell death, destroying capillary barrier, promoting neutrophil recruitment and so on. This article reviews the mechanism of NLRP3 inflammatory bodies in liver injury and the crosstalk between NLRP3 inflammatory bodies and regulatory cell death, in order to provide new ideas for the treatment and research of liver injury.
description: Liver injury refers to a pathological state in which the liver tissue is damaged by various factors, resulting in changes in its function and structure. The liver is one of the most important metabolic organs in the human body, which is responsible for a variety of physiological functions, such as detoxification, protein synthesis, energy storage and so on. Therefore, liver injury may have a serious impact on human health. The common types of liver injury include HIRI, chronic liver injury (CLD), acute liver injury (ALI) and so on. This paper is mainly based on HIRI. The over-activated NOD-like receptor thermal protein domain associated protein-3 (NLRP3) inflammatory bodies of NOD-like receptors promote the progression of liver injury by inducing cell death, destroying capillary barrier, promoting neutrophil recruitment and so on. This article reviews the mechanism of NLRP3 inflammatory bodies in liver injury and the crosstalk between NLRP3 inflammatory bodies and regulatory cell death, in order to provide new ideas for the treatment and research of liver injury.
DOI: 10.57760/sciencedb.10859
title: Traffic accident in Jordan
title: Traffic accident in Jordan

description: Traffic accident data by type and macroeconomic variables for Jordan (2004-2022)
description: Traffic accident data by type and macroeconomic variables for Jordan (2004-2022)
DOI: 10.57760/sciencedb.10862
title: Master_II_5_SBRA_v4
title: Master_II_5_SBRA_v4

description: Accumulated swimmer block reaction times and analysis plus timekeeper reaction times. These are accumulated from 20+ swimming events.
description: Accumulated swimmer block reaction times and analysis plus timekeeper reaction times. These are accumulated from 20+ swimming events.
DOI: 10.57760/sciencedb.10875
title: Expert Annotated Microbes for Biosynthesis of Inorganic Nanomaterials
title: Expert Annotated Microbes for Biosynthesis of Inorganic Nanomaterials

description: Expert Annotated Microbes for Biosynthesis of Inorganic Nanomaterials, which provided by MicroDiscover
description: Expert Annotated Microbes for Biosynthesis of Inorganic Nanomaterials, which provided by MicroDiscover