cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.17724
title: Experimental Dataset from CDEX's High Purity Germanium Detectors in China Jinping Underground Laboratory
title: Experimental Dataset from CDEX's High Purity Germanium Detectors in China Jinping Underground Laboratory

description: Founded in 2009, the CDEX group has been dedicated to detection of Dark Matter and neutrinoless double beta decay with High Purity Germanium (HPGe) detectors in China Jinping Underground Laboratory. HPGe detectors are characterized by high energy resolution, low analysis threshold and low radioactive background, making them an ideal platform for direct detection of DM. Over years CDEX has accumulated massive amount of experimental data, based on the data various results on both Dark Matter detection and neutrinoless double beta decay have been presented. Since the dataset was collected in low-background environment, apart from analyzed physical channels, it yet has great potential as an indicator for other rare-event-detection analysis. Furthermore, by providing raw pulse shapes, the dataset can serve as a tool for us to better understand the internal mechanism of HPGe detectors as well.The dataset contains binary files that hold raw pulse shapes that collected by the HPGe detectors, as well as root files with information extracted from pulse shapes. Scripts used to process raw data are also supplemented in the repository.
description: Founded in 2009, the CDEX group has been dedicated to detection of Dark Matter and neutrinoless double beta decay with High Purity Germanium (HPGe) detectors in China Jinping Underground Laboratory. HPGe detectors are characterized by high energy resolution, low analysis threshold and low radioactive background, making them an ideal platform for direct detection of DM. Over years CDEX has accumulated massive amount of experimental data, based on the data various results on both Dark Matter detection and neutrinoless double beta decay have been presented. Since the dataset was collected in low-background environment, apart from analyzed physical channels, it yet has great potential as an indicator for other rare-event-detection analysis. Furthermore, by providing raw pulse shapes, the dataset can serve as a tool for us to better understand the internal mechanism of HPGe detectors as well.The dataset contains binary files that hold raw pulse shapes that collected by the HPGe detectors, as well as root files with information extracted from pulse shapes. Scripts used to process raw data are also supplemented in the repository.
DOI: 10.57760/sciencedb.j00133.00460
title: 科技论文创新句标注数据集
title: 科技论文创新句标注数据集

description: 本数据集旨在评估科技论文创新句识别性能，数据集中包含了人工标注的创新句。
description: 本数据集旨在评估科技论文创新句识别性能，数据集中包含了人工标注的创新句。
DOI: 10.57760/sciencedb.j00133.00464
title: Experimental Data for Document-level Relationship Extraction on Power Communication Networks
title: 电力通信网故障文本文档级关系抽取实验数据

description: This data contains a total of three parts, which are:1, model core code, including model algorithm implementation and text map generation code2, experimental results, including fusion of graph convolutional networks and ontology information of the power communication network document-level relationship extraction model experimental results, ablation experimental results and parameter analysis results3、Data set, including training set and test set.
description: This data contains a total of three parts, which are:1, model core code, including model algorithm implementation and text map generation code2, experimental results, including fusion of graph convolutional networks and ontology information of the power communication network document-level relationship extraction model experimental results, ablation experimental results and parameter analysis results3、Data set, including training set and test set.
DOI: 10.15468/dl.3ncsfr
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (January, February, March, April, May, June, July, August, September, October, November, December)",
 "TaxonKey is Ixodes hexagonus Leach, 1815",
 "Year 2000-2024"
 ]
}

 The dataset includes 51 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001172-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.17744
title: Understanding the Impact of User Engagement Metrics on the Dissemination of Traditional Culture
title: Understanding the Impact of User Engagement Metrics on the Dissemination of Traditional Culture

description: This study explores the dissemination of Cantonese Opera on BiliBili, a social media platform popular among younger audiences in China. With traditional cultural forms struggling to captivate younger generations, platforms like BiliBili present opportunities for revitalizing interest in intangible heritage. This research aims to uncover how user engagement metrics influence the visibility and spread of Cantonese Opera content, providing insights for enhancing heritage promotion. Data were collected from 1,916 Cantonese Opera videos using Python-based web scraping, focusing on eight user engagement metrics: Likes, Shares, Coins, Comments, Bullet Comments, Fans, Collects, and Plays. Structural equation modeling (SEM) was employed to analyze the relationships among these metrics and their impact on content dissemination. Results show that Coins and Likes significantly predict Comments and Shares, indicating the importance of both monetary and non-monetary support in fostering interaction. Collects and Shares notably increase Play counts, underscoring the role of curation and social diffusion. However, the negative impact of Coins on Plays reveals complex user motivations. This study contributes to understanding the promotion of traditional cultural content through youth-oriented social media, offering practical implications for content creators and cultural institutions leveraging digital media for cultural preservation.
description: This study explores the dissemination of Cantonese Opera on BiliBili, a social media platform popular among younger audiences in China. With traditional cultural forms struggling to captivate younger generations, platforms like BiliBili present opportunities for revitalizing interest in intangible heritage. This research aims to uncover how user engagement metrics influence the visibility and spread of Cantonese Opera content, providing insights for enhancing heritage promotion. Data were collected from 1,916 Cantonese Opera videos using Python-based web scraping, focusing on eight user engagement metrics: Likes, Shares, Coins, Comments, Bullet Comments, Fans, Collects, and Plays. Structural equation modeling (SEM) was employed to analyze the relationships among these metrics and their impact on content dissemination. Results show that Coins and Likes significantly predict Comments and Shares, indicating the importance of both monetary and non-monetary support in fostering interaction. Collects and Shares notably increase Play counts, underscoring the role of curation and social diffusion. However, the negative impact of Coins on Plays reveals complex user motivations. This study contributes to understanding the promotion of traditional cultural content through youth-oriented social media, offering practical implications for content creators and cultural institutions leveraging digital media for cultural preservation.
DOI: 10.57760/sciencedb.17745
title: Exploring the Interactivity of Cantonese Opera Videos on Youth-Centric Platforms
title: Exploring the Interactivity of Cantonese Opera Videos on Youth-Centric Platforms

description: This study examines the interactivity of Cantonese Opera videos on Bilibili, a prominent youth-oriented social media platform in China. Using Python-based web scraping, we initially collected 4860 videos, narrowing them to 1916 through manual filtering by three coders. We extracted six quantitative variables (e.g., likes, shares) and seven categorical variables (e.g., author type, subtitle presence) for each video. A binary interactivity variable was defined, categorizing videos into high and low interactivity based on the upper quartile of each quantitative metric. Using logistic regression, we analyzed how video characteristics influence the likelihood of high interactivity. Results indicate that factors such as author type, video tone, and subtitle presence significantly affect interactivity. Our findings offer insights into optimizing cultural content engagement on social media, contributing to the broader discourse on digital cultural heritage preservation.
description: This study examines the interactivity of Cantonese Opera videos on Bilibili, a prominent youth-oriented social media platform in China. Using Python-based web scraping, we initially collected 4860 videos, narrowing them to 1916 through manual filtering by three coders. We extracted six quantitative variables (e.g., likes, shares) and seven categorical variables (e.g., author type, subtitle presence) for each video. A binary interactivity variable was defined, categorizing videos into high and low interactivity based on the upper quartile of each quantitative metric. Using logistic regression, we analyzed how video characteristics influence the likelihood of high interactivity. Results indicate that factors such as author type, video tone, and subtitle presence significantly affect interactivity. Our findings offer insights into optimizing cultural content engagement on social media, contributing to the broader discourse on digital cultural heritage preservation.
DOI: 10.57760/sciencedb.j00133.00466
title: Datasets of Risk Analysis of Telecom Fraud Incidents Based on Big Language Models and Event Fusion
title: Datasets of Risk Analysis of Telecom Fraud Incidents Based on Big Language Models and Event Fusion

description: The dataset contains 571 telecom fraud cases, which are desensitized and can be used for event analysis in the field of telecom fraud
description: The dataset contains 571 telecom fraud cases, which are desensitized and can be used for event analysis in the field of telecom fraud
DOI: 10.57760/sciencedb.17754
title: Discovery of the First BRD4 Second Bromodomain (BD2)-Selective Inhibitors
title: Discovery of the First BRD4 Second Bromodomain (BD2)-Selective Inhibitors

description: This zip package includes all the raw data involving in the article "Discovery of the First BRD4 Second Bromodomain (BD2)-Selective Inhibitors"submitted to the Journal of Medicinal Chemistry.
description: This zip package includes all the raw data involving in the article "Discovery of the First BRD4 Second Bromodomain (BD2)-Selective Inhibitors"submitted to the Journal of Medicinal Chemistry.
DOI: 10.57760/sciencedb.j00214.00099
title: Risk Perception Factor and Its Pricing in the Chinese Stock Market
title: 风险感知因子及其在中国市场的表现能力

description: Monthly stock returns and accounting data for individual firms are obtained from CSMAR. We include all A-share stocks listed on the Shanghai and Shenzhen stock exchanges, including the main board, the GEM board, and the STAR board. Given the uniformity of accounting data and the sufficient number of observations, the data set spanned 264 months, from January 2000 to December 2021.We obtain the stock universe after applying certain filters, which include removing stocks that (i) are less than six months ago, (ii) have less than 120 trading records in the past year, or (iii) have less than 15 trading records in the previous month. To avoid forward-looking bias, we use the most recent financial data for the accounting metrics before the month for which we choose the characteristics to sort the stocks, such as shareholders’ equity, net profit, minority interest, and so on, in accordance with the availability of financial statements.
description: Monthly stock returns and accounting data for individual firms are obtained from CSMAR. We include all A-share stocks listed on the Shanghai and Shenzhen stock exchanges, including the main board, the GEM board, and the STAR board. Given the uniformity of accounting data and the sufficient number of observations, the data set spanned 264 months, from January 2000 to December 2021.We obtain the stock universe after applying certain filters, which include removing stocks that (i) are less than six months ago, (ii) have less than 120 trading records in the past year, or (iii) have less than 15 trading records in the previous month. To avoid forward-looking bias, we use the most recent financial data for the accounting metrics before the month for which we choose the characteristics to sort the stocks, such as shareholders’ equity, net profit, minority interest, and so on, in accordance with the availability of financial statements.
DOI: 10.57760/sciencedb.psych.00393
title: Data & code for: Variability in pain traits across high and low pain sensitivity individuals
title: Data & code for: Variability in pain traits across high and low pain sensitivity individuals

description: Using questionnaires and QST, Zhi et al. found variability in pain traits across high- and low-pain-sensitivity individuals. Here, we provide data and code to support the review and meta-analysis.
description: Using questionnaires and QST, Zhi et al. found variability in pain traits across high- and low-pain-sensitivity individuals. Here, we provide data and code to support the review and meta-analysis.
DOI: 10.57760/sciencedb.17760
title: Diversity of the morphological variation for seed traits among 587 germplasm accessions of Medicago genus
title: Diversity of the morphological variation for seed traits among 587 germplasm accessions of Medicago genus

description: The database contains the original data for measuring the length, width, circumference and other indicators of seeds, as well as the original data used for mapping.
description: The database contains the original data for measuring the length, width, circumference and other indicators of seeds, as well as the original data used for mapping.
DOI: 10.57760/sciencedb.17765
title: Identifying the Risk Factors Hindering the Application of Value Engineering in Construction Projects of Developing Countries: A Case Study of Iran
title: Identifying the Risk Factors Hindering the Application of Value Engineering in Construction Projects of Developing Countries: A Case Study of Iran

description: Value engineering (VE) has been recognized as an effective method for achieving the best value for money for clients in the construction industry. However, experiences with value engineering in projects across various developing countries, including Iran, suggest that consistent and acceptable results have yet to be achieved using this method. The purpose of this study was to identify and prioritize the barriers to the success of value engineering in civil engineering projects. Therefore, a comprehensive literature review was conducted, and a questionnaire survey was performed with 14 experts to validate the findings. Based on the results of the content validity, factors were ranked among 234 value engineering experts using the Friedman ranking test.
description: Value engineering (VE) has been recognized as an effective method for achieving the best value for money for clients in the construction industry. However, experiences with value engineering in projects across various developing countries, including Iran, suggest that consistent and acceptable results have yet to be achieved using this method. The purpose of this study was to identify and prioritize the barriers to the success of value engineering in civil engineering projects. Therefore, a comprehensive literature review was conducted, and a questionnaire survey was performed with 14 experts to validate the findings. Based on the results of the content validity, factors were ranked among 234 value engineering experts using the Friedman ranking test.
DOI: 10.57760/sciencedb.j00133.00468
title: Amazon Dataset
title: 亚马逊数据集

description: Using a Python based requests library to crawl mobile review data from the Amazon website, a total of 109970 comments were crawled from January 1, 2012 to November 1, 2021. Next, the data was preprocessed to remove duplicate content, non English content, and comments with less than 4 words from the comment data. As a result, 3922 valid comments and 8386 images were obtained 
description: Using a Python based requests library to crawl mobile review data from the Amazon website, a total of 109970 comments were crawled from January 1, 2012 to November 1, 2021. Next, the data was preprocessed to remove duplicate content, non English content, and comments with less than 4 words from the comment data. As a result, 3922 valid comments and 8386 images were obtained
DOI: 10.57760/sciencedb.17792
title: Long term global oxidation of freezing Mars by active bromine cycling
title: Long term global oxidation of freezing Mars by active bromine cycling

description: 3-3-3-3-3-3-33-In this dataset we introduce the experimental results data
description: 3-3-3-3-3-3-33-In this dataset we introduce the experimental results data
DOI: 10.57760/sciencedb.17800
title: crime risk
title: crime risk

description: Risk assessment of typical criminal
description: Risk assessment of typical criminal
DOI: 10.57760/sciencedb.17798
title: Nitazoxanide-Functionalized Gold Nanoparticles: A Promising Antimicrobial Agent Against Carbapenem-Resistant Enterobacteriaceae
title: Nitazoxanide-Functionalized Gold Nanoparticles: A Promising Antimicrobial Agent Against Carbapenem-Resistant Enterobacteriaceae

description: Statistical data;Transmission electron microscopy images;Scanning electron microscopy images;Histopathological tissue section images.
description: Statistical data;Transmission electron microscopy images;Scanning electron microscopy images;Histopathological tissue section images.
DOI: 10.57760/sciencedb.17806
title: lymphocyte subsets
title: lymphocyte subsets

description: Detection data of lymphocyte subsets in gastric cancer patients
description: Detection data of lymphocyte subsets in gastric cancer patients
DOI: 10.57760/sciencedb.17808
title: Changes in gene expression levels caused by H3K9me3/H3K9ac modifications are associated with BmCPV infection in Bombyx mori
title: Changes in gene expression levels caused by H3K9me3/H3K9ac modifications are associated with BmCPV infection in Bombyx mori

description: ChIP-qPCR raw data and qPCR raw data from the article"Changes in gene expression levels caused by H3K9me3/H3K9ac modifications are associated with BmCPV infection in Bombyx mori".
description: ChIP-qPCR raw data and qPCR raw data from the article"Changes in gene expression levels caused by H3K9me3/H3K9ac modifications are associated with BmCPV infection in Bombyx mori".
DOI: 10.57760/sciencedb.j00003.00028
title: Reliable Autonomous Landing and Hazard Avoidance of Drones Based on Elevation Map Landing Ability Analysis
title: 基于高程图可着陆性分析的无人机可靠自主着陆与避险方法

description: The landing of drones in unknown environments poses a highly challenging task. This paper presents a safe and efficient LiDAR landing approach. The method leverages positioning data obtained from the perception information of LiDAR and the Inertial Measurement Unit (IMU), projecting point clouds into an elevation map coordinate system. Utilizing Bayesian generalized kernel elevation inference and an enhanced dynamic clearing algorithm, it predicts, fills, and dynamically updates sparse elevation maps to generate dense and comprehensive elevation maps. Subsequently, by analyzing terrain geometric parameters in the elevation map such as slope, roughness, and step height, a landing ability analysis map is generated. Then, employing a GPU-accelerated method, it swiftly identifies the safest landing position from the landing ability analysis map. Furthermore, addressing the potential degradation of LiDAR positioning near landing points, a strategy solely relying on single-frame point clouds for obstacle avoidance is proposed, achieving secure drone landings. This method has been validated across multiple complex simulation environments and real-world scenarios, showing excellent results.
description: The landing of drones in unknown environments poses a highly challenging task. This paper presents a safe and efficient LiDAR landing approach. The method leverages positioning data obtained from the perception information of LiDAR and the Inertial Measurement Unit (IMU), projecting point clouds into an elevation map coordinate system. Utilizing Bayesian generalized kernel elevation inference and an enhanced dynamic clearing algorithm, it predicts, fills, and dynamically updates sparse elevation maps to generate dense and comprehensive elevation maps. Subsequently, by analyzing terrain geometric parameters in the elevation map such as slope, roughness, and step height, a landing ability analysis map is generated. Then, employing a GPU-accelerated method, it swiftly identifies the safest landing position from the landing ability analysis map. Furthermore, addressing the potential degradation of LiDAR positioning near landing points, a strategy solely relying on single-frame point clouds for obstacle avoidance is proposed, achieving secure drone landings. This method has been validated across multiple complex simulation environments and real-world scenarios, showing excellent results.
DOI: 10.57760/sciencedb.17817
title: Hepatitis C data table
title: Hepatitis C data table

description: This statistical table collects clinical information of pregnant women and newborns
description: This statistical table collects clinical information of pregnant women and newborns
DOI: 10.57760/sciencedb.17841
title: Data of "Prevalence and Clinical Implications of the Rare Arc of Bühler Using Computed Tomography Angiography and Digital Subtraction Angiography: a Systematic Review and Meta-analysis"
title: Data of "Prevalence and Clinical Implications of the Rare Arc of Bühler Using Computed Tomography Angiography and Digital Subtraction Angiography: a Systematic Review and Meta-analysis"

description: Data of "Prevalence and Clinical Implications of the Rare Arc of Bühler Using Computed Tomography Angiography and Digital Subtraction Angiography: a Systematic Review and Meta-analysis".
description: Data of "Prevalence and Clinical Implications of the Rare Arc of Bühler Using Computed Tomography Angiography and Digital Subtraction Angiography: a Systematic Review and Meta-analysis".
DOI: 10.57760/sciencedb.j00167.00008
title: anim1.mp4
title: anim1.mp4

description: SUVI base-difference images.
description: SUVI base-difference images.
DOI: 10.57760/sciencedb.j00167.00009
title: anim2.mp4
title: anim2.mp4

description: ASO-S/SCI_UV images
description: ASO-S/SCI_UV images