cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/8j5rr2gbw8
title: Promoting Tourism Culture Communication: The Impact of Audience Engagement and Interactive Experience in the Perspective of Media Convergence

description: To explore the impact of media convergence and interactive experiences on the effectiveness of tourism cultural communication, this study conducts a questionnaire survey and uses correlation analysis and regression analysis methods to reveal the roles of media convergence technology and interactive experiences in enhancing audience engagement and communication effectiveness. The results of the correlation analysis show that the correlation coefficient between the frequency of social media platform usage and audience engagement is 0.010, and 0.085 between satisfaction with new media technology and audience engagement. Additionally, the correlation coefficients between the frequency of interactive participation and communication effectiveness is 0.68, the richness of interactive content is 0.61, and interactive satisfaction is 0.66, all of which have a significant positive correlation with communication effectiveness. Regression analysis further validates these relationships, showing that the regression coefficient of social media platform usage frequency on audience engagement is 0.005, satisfaction with new media technology is 0.082, the frequency of interactive participation on communication effectiveness is 0.412, and interactive satisfaction is 0.365. These results indicate that increasing the frequency of social media platform usage and enhancing the user experience of new media technology can significantly improve audience engagement and communication effectiveness. The study finds that various aspects of interactive experiences, particularly the frequency of interactive participation and interactive satisfaction, have a notable impact on the improvement of communication effectiveness. These findings provide important insights for optimizing tourism cultural communication strategies and suggest that practitioners should focus on enhancing all aspects of interactive experiences to promote the widespread dissemination of tourism culture and active audience participation. Therefore, this study has reference significance for research in the field of tourism cultural communication.
DOI: 10.17632/8j5rr2gbw8.1
title: Promoting Tourism Culture Communication: The Impact of Audience Engagement and Interactive Experience in the Perspective of Media Convergence

description: To explore the impact of media convergence and interactive experiences on the effectiveness of tourism cultural communication, this study conducts a questionnaire survey and uses correlation analysis and regression analysis methods to reveal the roles of media convergence technology and interactive experiences in enhancing audience engagement and communication effectiveness. The results of the correlation analysis show that the correlation coefficient between the frequency of social media platform usage and audience engagement is 0.010, and 0.085 between satisfaction with new media technology and audience engagement. Additionally, the correlation coefficients between the frequency of interactive participation and communication effectiveness is 0.68, the richness of interactive content is 0.61, and interactive satisfaction is 0.66, all of which have a significant positive correlation with communication effectiveness. Regression analysis further validates these relationships, showing that the regression coefficient of social media platform usage frequency on audience engagement is 0.005, satisfaction with new media technology is 0.082, the frequency of interactive participation on communication effectiveness is 0.412, and interactive satisfaction is 0.365. These results indicate that increasing the frequency of social media platform usage and enhancing the user experience of new media technology can significantly improve audience engagement and communication effectiveness. The study finds that various aspects of interactive experiences, particularly the frequency of interactive participation and interactive satisfaction, have a notable impact on the improvement of communication effectiveness. These findings provide important insights for optimizing tourism cultural communication strategies and suggest that practitioners should focus on enhancing all aspects of interactive experiences to promote the widespread dissemination of tourism culture and active audience participation. Therefore, this study has reference significance for research in the field of tourism cultural communication.
DOI: 10.15468/dl.y8r8v4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Tetragonoderus quadriguttatus Dejean, 1829",
 "Year is greater than or equal to 1950",
 {
 "or" : [
 "GadmGid is USA",
 "GadmGid is CAN",
 "GadmGid is MEX"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007805-250515123054153/datasets/export for details.
DOI: 10.17632/wggbw2fjj7.1
title: A case study of one local severe convection process caused by meso-β-scale vortex in a forming Southwest China vortex in spring with large eddy simulation

description: The radar and surface precipitation data.
DOI: 10.17632/y9j46nch8r
title: The Role of Local Governance in Mitigating Student Food Waste: Integrating AI and Sociology for Enhanced School Per-formance

description: This study aims to explore the role of local governance in reducing student food waste behavior and enhancing school performance, integrating perspectives from artificial intel-ligence (AI) and sociology. A large-scale survey is conducted to collect extensive data on school cafeteria consumption behaviors and related activities, which is analyzed using a Backpropagation Neural Network (BPNN) model. The BPNN model effectively handles nonlinear relationships and reveals the complex interaction mechanisms between student behaviors and school performance. The results indicate a high positive correlation (0.75) between cafeteria size and student traffic fluctuations, suggesting that local governance should consider the impact of cafeteria size on student traffic when planning and con-structing school cafeterias to optimize resource allocation. Additionally, there is a positive correlation (0.8) between student traffic fluctuations and menu diversity, indicating that local policies can attract students and reduce food waste by adjusting menu diversity, thereby improving the efficiency of resource utilization in schools. Furthermore, psycho-logical and social factors such as personal values, lifestyle habits, social group pressure, and attitudes toward food significantly influence the level of food waste in school cafete-rias. This implies that local governance can change students' behaviors and reduce waste through education and community engagement initiatives. Besides analyzing food waste behaviors, this study also examines the impact of local governance on resource allocation, teacher development, and overall student behavior management. Based on the findings, the study proposes a series of local governance policy recommendations aimed at reduc-ing food waste and comprehensively enhancing school performance through optimized resource allocation, increased community involvement, and improved management effi-ciency.
DOI: 10.17632/y9j46nch8r.1
title: The Role of Local Governance in Mitigating Student Food Waste: Integrating AI and Sociology for Enhanced School Per-formance

description: This study aims to explore the role of local governance in reducing student food waste behavior and enhancing school performance, integrating perspectives from artificial intel-ligence (AI) and sociology. A large-scale survey is conducted to collect extensive data on school cafeteria consumption behaviors and related activities, which is analyzed using a Backpropagation Neural Network (BPNN) model. The BPNN model effectively handles nonlinear relationships and reveals the complex interaction mechanisms between student behaviors and school performance. The results indicate a high positive correlation (0.75) between cafeteria size and student traffic fluctuations, suggesting that local governance should consider the impact of cafeteria size on student traffic when planning and con-structing school cafeterias to optimize resource allocation. Additionally, there is a positive correlation (0.8) between student traffic fluctuations and menu diversity, indicating that local policies can attract students and reduce food waste by adjusting menu diversity, thereby improving the efficiency of resource utilization in schools. Furthermore, psycho-logical and social factors such as personal values, lifestyle habits, social group pressure, and attitudes toward food significantly influence the level of food waste in school cafete-rias. This implies that local governance can change students' behaviors and reduce waste through education and community engagement initiatives. Besides analyzing food waste behaviors, this study also examines the impact of local governance on resource allocation, teacher development, and overall student behavior management. Based on the findings, the study proposes a series of local governance policy recommendations aimed at reduc-ing food waste and comprehensively enhancing school performance through optimized resource allocation, increased community involvement, and improved management effi-ciency.
DOI: 10.17632/7jk6xh7h6w.1
title: Fire Recognition Image Dataset

description: Fire_Dataset

Real Fire
Fire (283 Original images; 1,698 Augmented Images)
Smoke (273 Original images; 1,638 Augmented Images)

No Fire
Safe Fire (270 Original images; 1,620 Augmented Images)
Artificial Fire (286 Original images; 1,716 Augmented Images)

Augmentation pipeline (including shear transformation using Affine)
transform = A.Compose([
 A.HorizontalFlip(p=0.5), # 50% chance to flip horizontally
 A.VerticalFlip(p=0.3), # 30% chance to flip vertically
 A.RandomBrightnessContrast(p=0.3), # Adjust brightness & contrast randomly
 A.Rotate(limit=30, p=0.5), # Rotate between -30 to +30 degrees
 A.Affine(shear=(-20, 20), p=0.5), # Apply shear transformation in both X & Y directions
 A.GaussNoise(var_limit=(10.0, 50.0), p=0.3) # Add random noise
])
DOI: 10.17632/4rdx4wm6v9.1
title: replication data for "FOREIGN DIRECT INVESTMENT AND INCOME INEQUALITY IN 65 COUNTRIES: THE MODERATING ROLE OF TRADE OPENNESS"
DOI: 10.17632/4rdx4wm6v9.2
title: replication data for "FOREIGN DIRECT INVESTMENT AND INCOME INEQUALITY IN 65 COUNTRIES: THE MODERATING ROLE OF TRADE OPENNESS"
DOI: 10.17632/4rdx4wm6v9.3
title: replication data for "Trade Openness as a Moderator in the FDI–Income Inequality Nexus: Global Evidence"
DOI: 10.17632/rrmcr3tf8j.1
title: Design and implementation of three-phases energy storage system using DSP F28379D for laboratory research

description: In recent years, the rapid development of renewable energy sources such as wind power, solar power, and electric vehicles has led to a significant demand for energy storage. Energy storage systems are applied in power grids to stabilize output and optimize energy costs. An energy storage system is capable of controlling the charging power into the battery system as well as discharging to the grid when necessary through power electronic circuits. This paper presents the hardware design for a three-phases energy storage system connected to the grid through a safe isolation transformer, suitable for use in university laboratory experiments. The power hardware configuration includes a bidirectional DC/DC buck-boost converter and a bidirectional 3-phase 6-switch DC/AC converter. Additionally, the control board uses the Texas Instruments DSP F28379D with a charging-discharging control program written in C programming language and compiled with Code Composer Studio (CCS v12). The current and voltage sensing circuits use Hall-effect sensors to isolate the power circuit from the control circuit. A unique aspect of this research is the modular design, allowing for quick and easy upgrades and changes to the configuration and power capacity, facilitating the testing of control algorithms for the storage system. Experiments were conducted on a 3-phase 380V power grid through an isolation transformer and a simulated battery bank powered by the APS1000 amplifier, with a 100V output voltage controlled in charging mode from the grid and discharging mode to the grid at a controlled power of 230W. The results show that the hardware model can be used effectively in laboratory settings to serve educational needs.
DOI: 10.15468/dl.ch9jtd
title: Occurrence Download

description: A dataset containing 106 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Neoharmsia R.Vig."
 ]
}

 The dataset includes 106 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007807-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.22pk2z
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Paraulacoryssus puertoricensis (Mutchler, 1934)",
 "Year is greater than or equal to 1950",
 {
 "or" : [
 "GadmGid is USA",
 "GadmGid is CAN",
 "GadmGid is MEX"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007808-250515123054153/datasets/export for details.
DOI: 10.17632/fvpcsvx5bp
title: Characterizing the mechanical performances of fiber reinforced composites fused deposition modeling produced structural components for unmanned marine utilities

description: This study explores the mechanical performances of short-carbon-fiber-reinforced ABS composite specimens fabricated using fused deposition modeling (FDM) technology. Key process parameters, including printing nozzle diameter, internal infill pattern, and building orientation, were systematically analyzed to optimize mechanical properties. For flat specimens, increasing the nozzle diameter from 0.4 mm to 1 mm significantly enhanced interlayer bonding strength, resulting in notable improvements in bending strength and modulus. Among the infill patterns, fully filled configurations eliminated void defects and demonstrated superior load-bearing capacity, while gyroid structures offered lightweight advantages under specific nozzle systems. For L-shaped specimens, horizontal building orientation proved critical, delivering enhanced maximum load, curved beam strength (CBS), and interlaminar tensile strength (ILTS) compared to vertical orientation. The combination of larger nozzle diameters and horizontal orientation further improved extrusion flow rates and interlayer bonding quality, making this configuration particularly suitable for marine applications like catamaran connectors. A mass-normalized evaluation framework highlighted the lightweight potential of gyroid infill patterns, emphasizing their development prospects in marine engineering. Microscopic observations revealed the interplay between process parameters, microstructure, and mechanical performance, with nozzle diameter influencing failure modes and infill patterns regulating load transfer paths. These findings advance the understanding of process-structure-performance relations of FDM-printed fiber-reinforced composites and open new opportunities for lightweight, high-strength designs tailored to marine systems, renewable energy, robotics, and modular infrastructure.
DOI: 10.17632/fvpcsvx5bp.1
title: Characterizing the mechanical performances of fiber reinforced composites fused deposition modeling produced structural components for unmanned marine utilities

description: This study explores the mechanical performances of short-carbon-fiber-reinforced ABS composite specimens fabricated using fused deposition modeling (FDM) technology. Key process parameters, including printing nozzle diameter, internal infill pattern, and building orientation, were systematically analyzed to optimize mechanical properties. For flat specimens, increasing the nozzle diameter from 0.4 mm to 1 mm significantly enhanced interlayer bonding strength, resulting in notable improvements in bending strength and modulus. Among the infill patterns, fully filled configurations eliminated void defects and demonstrated superior load-bearing capacity, while gyroid structures offered lightweight advantages under specific nozzle systems. For L-shaped specimens, horizontal building orientation proved critical, delivering enhanced maximum load, curved beam strength (CBS), and interlaminar tensile strength (ILTS) compared to vertical orientation. The combination of larger nozzle diameters and horizontal orientation further improved extrusion flow rates and interlayer bonding quality, making this configuration particularly suitable for marine applications like catamaran connectors. A mass-normalized evaluation framework highlighted the lightweight potential of gyroid infill patterns, emphasizing their development prospects in marine engineering. Microscopic observations revealed the interplay between process parameters, microstructure, and mechanical performance, with nozzle diameter influencing failure modes and infill patterns regulating load transfer paths. These findings advance the understanding of process-structure-performance relations of FDM-printed fiber-reinforced composites and open new opportunities for lightweight, high-strength designs tailored to marine systems, renewable energy, robotics, and modular infrastructure.
DOI: 10.17632/kywvc6tsr9.1
title: Article Data

description: The bibliometric dataset, focused on financial exploitation of older adults, is compiled from the Scopus database and includes 391 English-language documents—classified as articles and review papers—published between 1985 and 2024. This dataset offers a systematic and quantitative overview of scientific publications on the financial exploitation of older adults, helping to identify current research trends, highlight existing gaps in the literature, and inform future research directions. The dataset is located in the folder titled "ARTICLEOUTPUTS". The folder contains two files named “SCOPUSDATA” and “REPORTS.” The file titled “SCOPUSDATA” consists of a single sheet and includes 20 variables related to 391 documents used in the analysis, such as authors' names, publication titles and years, and journal titles. The variables that constitute the dataset enable the implementation of the two main phases of bibliometric analysis: performance analysis and science mapping. The second file, titled “REPORTS”, comprises nine sheets. It presents figures illustrating the number of documents (Figure 1), the most effective sources (Figure 2) and affiliations (Figure 3), as well as the geographical distribution of the publications by country (Figure 4), co-citation network for cited references (Figure 5), network of bibliographic coupling of sources (Figure 6), co-authorship of authors (Figure 7) and co-occurrence of authors keywords (Figure 8). Finally, it includes the bibliometric analysis workflow (Figure 9).
DOI: 10.17632/sxdmh8g9w3
title: Data set to 'Structural and surface investigation of AlxGa1-xN films on MgO {0 0 1} grown via plasma-assisted molecular beam epitaxy'

description: Data set to 'Structural and surface investigation of AlxGa1-xN films on MgO {0 0 1} grown via plasma-assisted molecular beam epitaxy'
DOI: 10.17632/sxdmh8g9w3.1
title: Data set to 'Structural and surface investigation of AlxGa1-xN films on MgO {0 0 1} grown via plasma-assisted molecular beam epitaxy'

description: Data set to 'Structural and surface investigation of AlxGa1-xN films on MgO {0 0 1} grown via plasma-assisted molecular beam epitaxy'
DOI: 10.15468/dl.9taskz
title: Occurrence Download

description: A dataset containing 757 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Neokochia (Ulbr.) G.L.Chu & S.C.Sand."
 ]
}

 The dataset includes 757 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007809-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/mcwv6thk8m.1
title: Epidemiological and Clinical Profile of Chronic Corneal Disorders: Insights from a Tertiary Care Hospital in Eastern India.

description: Research Hypothesis and Study Setting
This study was carried out at the Regional Institute of Ophthalmology (RIO), Indira Gandhi Institute of Medical Sciences (IGIMS), Patna, a tertiary care referral hospital in Eastern India. We hypothesized that chronic corneal disorders in this population are significantly influenced by lifestyle-related risk factors—such as tobacco and alcohol use—and systemic comorbidities, particularly in rural and agricultural communities.

Data Collection and Methodology
Data were prospectively collected from 332 patients diagnosed with chronic corneal disorders. Detailed clinical examinations were conducted, including visual acuity testing, slit-lamp evaluations, and history-taking for systemic illnesses and lifestyle habits. Visual acuity was categorized per WHO guidelines, and comorbidities like diabetes, hypertension, and substance use were carefully documented. Statistical analyses included multivariate logistic regression to identify independent risk factors.

Key Observations
The mean age of patients was 44 years, with a predominance of males (62.7%). The most common diagnoses were corneal opacity (43.1%) and infective keratitis (39.8%), of which fungal infections were the leading cause (61%). More than half of the patients reported decreased vision, and 43.1% had severe visual impairment at presentation.

Artificial tears (95.9%) and antibiotics (52.4%) were the most frequently administered treatments. Notably, tobacco use (29.5%) and alcohol consumption (8.1%) emerged as significant risk factors. Regression analysis showed that tobacco use was strongly associated with both infective keratitis (OR = 2.37) and corneal opacity (OR = 1.92). Diabetes was linked to poor treatment outcomes in fungal keratitis (OR = 3.14), while rural residence and agricultural work further increased the risk.

Interpretation and Implications
The findings highlight the multifactorial nature of chronic corneal diseases in our region, where preventable risk factors significantly affect outcomes. These insights can inform targeted awareness campaigns, guide clinical management, and support the development of region-specific public health strategies to reduce corneal blindness in rural and underserved populations.