cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/3423k7x488.1
title: DIGITAL NARRATIVES AND READER ENGAGEMENT: TRANSFORMING LITERARY FORMS IN THE DIGITAL ERA

description: Abstract: 
The advent of digital innovation has profoundly altered the progression and transformation of literary narratives, reshaping storytelling techniques and forms. This study investigates the influence of e-books, audiobooks, and dynamic media on redefining classical genres and inspiring fresh categories. It scrutinizes the evolution of genre conventions, reader interaction, and the impact of digital platforms on narrative structures. Additionally, it evaluates the implications of these shifts for writers, audiences, and the literary framework. 
Introduction: 
Literature often reflects the zeitgeist of its time, and the digital era is no exception. Digital tools, virtual platforms, and multimedia resources have significantly influenced literary structures, merging established conventions with novel developments. This research explores these changes, focusing on how digital advancements have redefined genre boundaries, introduced innovative forms, and reshaped the literary domain. 
Historical Background and Emergence of Digital Innovations: 
Literary forms have consistently evolved in response to cultural and technological advancements. The printing press, for instance, revolutionized access to written works, fostering the expansion of novels. Similarly, digital technology has sparked innovations that redefine literature. From the rise of hypertext narratives in the 1990s to modern serialized stories on platforms like Wattpad, the digital era offers boundless experimental opportunities. 
Notable Advancements: 
• Digital Books and Accessibility: Digital books have revolutionized the publishing landscape, providing portable, economical access to texts and boosting the popularity of genres such as romance and suspense (Hayles, 2012).

• Audio Narratives and Oral Tradition: Audio-based storytelling has rejuvenated oral traditions by blending narration with performance, offering a contemporary approach to experiencing literature (Grover, 2020). 
Digital Books: Removing Barriers 
Digital books have made literary content more accessible than ever before. Unlike conventional books, they eliminate physical constraints, enabling users to store entire libraries on a single device. This convenience benefits both avid readers and academic learners. 
By reducing costs and extending availability to remote areas, digital books have democratized literary access. Popular genres like romance and suspense thrive in the digital space due to fast publication cycles and a broad, enthusiastic readership. Platforms like Amazon Kindle Direct Publishing empower authors to bypass traditional publishing hurdles and reach readers directly, while subscription services like Kindle Unlimited cater to binge-reading habits, aligning with contemporary preferences. 
Audio Narratives: Reviving Storytelling 
Audio storytelling has reintroduced the essence of oral narratives. Unlike traditional reading, which demands visual focus, audio formats.....
DOI: 10.17632/22x2d75mmv.1
title: OUTSOURCING HR ACTIVITIES FOR ORGANIZATIONAL EFFICIENCY IN SELECTED FIRMS IN LAGOS, NIGERIA

description: A firm’s strategic outsourcing is a practice driven by inefficiencies in the HR department to free up valuable resources to focus on core areas of operations. This study examined firms’ strategic outsourcing decisions in payroll management, recruitment and training to achieve HR goals. Resource-based view (RBV) was adopted to explain the impact of HR outsourcing on competitive advantage. Descriptive statistics and multicollinearity with variance inflation factor (VIF) were used to find the accuracy of the data set. The hypotheses were evaluated with the use of Multiple Regression Analysis. Findings revealed that outsourcing payroll administration to achieve HR cost efficiency significantly enhances organizational efficiency (Beta = 0.684, P&lt;0.05), outsourcing recruitment activities for effective HR development significantly enhances organizational efficiency (Beta = 0.629, P&lt;0.05), and outsourcing training for effective HR flexibility significantly enhances organizational efficiency (Beta = 0.579, P&lt;0.05). The study concludes that outsourcing is an organizational culture that enables the achievement of HR cost efficiency, HR development and HR flexibility. It recommends that the company should continuously commit to outsourcing payroll functions to maintain confidentiality in remuneration, cut costs, have a competitive advantage and focus on the core business of the firm. The company should continuously outsource the recruitment process to sustain talent management and increase organizational efficiency and competitiveness among firms in the market. Outsourcing training services should be a priority for the firm to achieve progressive satisfaction with potential cost saving, competence and enhance knowledge and skills of workers to improve workers' capabilities and performance in the organizations.
DOI: 10.17632/bhjvnwjyry.1
title: Higher Education Service Strategy Based on OECD Economic Outlook 2024 Analysis: Innovative Approaches to Community Economic Resilience

description: The OECD Economic Outlook Volume 2024/1 highlights global economic challenges, including moderate growth, inflation risks, and labor market slowdowns. The study aligns these insights with a university community service program strategic plan, identifying three key intervention areas: workforce upskilling, mentoring for small and medium-sized enterprises (SMEs), and education on inflation stability and financial literacy. The findings suggest that universities can mitigate economic inequality through technology-driven skills training, supporting local entrepreneurship, and fostering multi-sector collaboration. The study underscores the need for technological innovation and evidence-based strategies in developing service programs. Recommendations include aligning education with market demands, integrating technology, and fostering research-based mentoring to achieve a sustainable economic impact, positioning universities as vital agents of change in addressing contemporary economic issues.
DOI: 10.17632/5z2xdrt8fb.1
title: Nail Unit Melanoma Treated with Mohs Micrographic Surgery: Technique, Local Recurrence Rate, and Surgical Outcomes

description: Supplementary material for "Nail Unit Melanoma (NUM) Treated with Mohs Micrographic Surgery (MMS): Technique, Local Recurrence Rate, and Surgical Outcomes."
DOI: 10.17632/pgth9p8d4x.1
title: 1 km monthly Standardized Precipitation Index (SPI) dataset for the Yellow River Basin from 1901 to 2022

description: This study presents a monthly Standardized Precipitation Index (SPI) dataset with a spatial resolution of 1 km for the Yellow River Basin, from 1901 to 2022. The precipitation data utilized for the SPI calculations were sourced from the National Qinghai-Tibet Plateau Scientific Data Center (https://data.tpdc.ac.cn/), encompassing the same temporal range and spatial resolution (Peng, 2024). Considering the seasonal precipitation variability in the Yellow River Basin, the SPI was calculated using a three-month time scale. The provided SPI data are in *.tif format and can be visualized using geographic software such as ArcGIS or QGIS, and processed using Python, R, or MATLAB. The NoData value for the data is -32768.
DOI: 10.17632/stbs42x7k9.1
title: Perennial rice regrowth responds to stubble characteristics, temperature and genotype

description: This Excel spreadsheet presents the dataset used to prepare the manuscript, "Perennial rice regrowth responds to stubble characteristics, temperature and genotype", which has been submitted to Field Crops Research. The experiment was conducted at Menghai in Yunnan Province of China from 2020 to 2022, comprising 3 Environments (E), 4 Genotypes (G), 5 Samples (S) and 3 Replicates (Rep), for N = 180 cases. There were 20 parameters recorded: E, G, S, Rep; Exposure to Cold (C); Grain yield (t/ha); 12 Growth Parameters (root, leaf, stem and total components of Dry Matter (DM g/pl), [Soluble sugar] (ug/g), and [Starch] (ug/g); and Shoot number (SN/pl) and the Natural log of shoot number (lnSN). Further details are provided in the manuscript.
DOI: 10.17632/stbs42x7k9.2
title: Perennial rice regrowth responds to stubble characteristics, temperature and genotype

description: This Excel spreadsheet presents the dataset used to prepare the manuscript, "Perennial rice regrowth responds to stubble characteristics, temperature and genotype", which has been submitted to Field Crops Research. The experiment was conducted at Menghai in Yunnan Province of China from 2020 to 2022, comprising 3 Environments (E), 4 Genotypes (G), 5 Samples (S) and 3 Replicates (Rep), for N = 180 cases. There were 20 parameters recorded: E, G, S, Rep; Exposure to Cold (C); Grain yield (t/ha); 12 Growth Parameters (root, leaf, stem and total components of Dry Matter (DM g/pl), [Soluble sugar] (mg/g), and [Starch] (mg/g); and Shoot number (SN/pl) and the Natural log of shoot number (lnSN). Further details are provided in the manuscript.
DOI: 10.17632/ddbmnmspp9.1
title: Barkam dateset

description: Interpretability Study of Earthquake-induced Landslide Susceptibility Combining Dimensionality Reduction and Clustering
DOI: 10.17632/hdtx2w4mzc.1
title: Data For: Towards Simulated Magnetic Processing of Heavy Mineral Sands on Auto-SEM-EDS Equipment

description: Supplementary data for: "Towards Simulated Magnetic Processing of Heavy Mineral Sands on Auto-SEM-EDS Equipment" (Magnetic Susceptibility Indices for 145 minerals) published in Minerals Engineering.
Hypothesis: Magnetic Susceptibility Indices are a better predictor of processability than liberation.
Notable Findings: Magnetic Susceptibility Indices are better at predicting the processability of heavy mineral sands concentrate streams than liberation. Furthermore, association data can be gleaned from magnetic susceptibility indices.
DOI: 10.17632/r7dh8zwwfr.1
title: A dataset of Rheumatoid Arthritis data from National Health and Nutrition Examination Survey (NHANES) participants.

description: # Dataset Description: Rheumatoid Arthritis and Body Roundness Index (BRI) from NHANES Participants

## 1. Introduction
This dataset is centered on the relationship between Rheumatoid Arthritis (RA) and the Body Roundness Index (BRI) using data from the NHANES. It aims to provide a basis for understanding the connection between body fat distribution and RA risk, potentially guiding preventive and treatment strategies.

## 2. Data Source
The data comes from the NHANES, a comprehensive CDC study on US health and nutrition. Collected between 2011 and 2020, it uses a complex sampling method for a representative sample.

## 3. Variables Included
### 3.1 Rheumatoid Arthritis (RA)
 - **Definition**: RA is a chronic autoimmune joint disease. Diagnosis in the dataset was determined by participants' responses to questions about doctor - diagnosed arthritis and its type. Self - reported RA had a high correlation with clinical assessment.
 - **Data Type**: Categorical (Yes/No)

### 3.2 Body Roundness Index (BRI)
 - **Definition**: BRI, calculated from height and waist circumference, reflects body fat distribution. It was divided into quartiles for analysis due to the lack of a standard reference range.
 - **Data Type**: Continuous

### 3.3 Covariates
 - **Demographic**: Gender and age.
 - **Socioeconomic**: Race/ethnicity, education level, marital status, and family income.
 - **Lifestyle**: Physical activity, smoking, and drinking status.
 - **Medical History**: Hypertension, diabetes, and hyperlipidemia.
 - **Dietary**: Calorie, nutrient, and caffeine intake.

## 4. Data Collection Methods
 - **Medical Exams**: Trained staff conducted physicals and RA - related tests.
 - **Anthropometric Measurements**: Precise height and waist circumference measurements.
 - **Questionnaires**: Covering various aspects of participants' lives.

## 5. Sample Size
From 45,462 initial participants, 13,273 aged 20+ were included after exclusions. This size is sufficient for analysis.

## 6. Data Quality
 - **Quality Assurance**: NHANES has strict quality control for accurate data.
 - **Data Cleaning**: Errors, outliers, and missing values were addressed.

## 7. Potential Applications
 - **Clinical Research**: Explore BRI's role in RA.
 - **Public Health**: Inform preventive strategies.

## 8. Ethical Considerations
 - **Informed Consent**: Participants consented.
 - **Data Protection**: Confidentiality and security measures are in place.

This dataset offers valuable insights into RA and body composition research.
DOI: 10.17632/rgx82rv52p.1
title: Autism Therapy Activity and Material Dataset

description: This dataset consists of 2 comma separated value (csv) format files and 1 folder containing images. The images presented are paper reports of therapy for children with autism disorders, consisting of 45 images. These images were obtained from autism centers in Indonesia, which are private data and not to be misused. The csv dataset is a translation of the images in the folder, which consists of the activity_detail_dataset analysis sentiment dataset containing values, details of activities carried out by children, and labels. While the second csv dataset or called the material recommendation dataset initial_condition_dataset contains various materials in the autism center along with the initial condition of the child. This dataset can be utilized for the development of Natural Language Processing (NLP), such as the development of sentence classification, sentiment analysis, and recommendation systems.
DOI: 10.17632/rgx82rv52p.2
title: Autism Therapy Activity and Material Dataset

description: This dataset consists of 2 comma separated value (csv) format files and 1 folder containing images. The images presented are paper reports of therapy for children with autism disorders, consisting of 45 images. These images were obtained from autism centers in Indonesia, which are private data and not to be misused. The csv dataset is a translation of the images in the folder, which consists of the activity_detail_dataset analysis sentiment dataset containing values, details of activities carried out by children, and labels. While the second csv dataset or called the material recommendation dataset initial_condition_dataset contains various materials in the autism center along with the initial condition of the child. This dataset can be utilized for the development of Natural Language Processing (NLP), such as the development of sentence classification, sentiment analysis, and recommendation systems.
DOI: 10.17632/4phcryrns3.1
title: Stress relaxation and performance tests of a steerable catheter for QLV beam modeling

description: This dataset includes stress relaxation and performance test results conducted on a steerable catheter to evaluate and validate its viscoelastic properties using a quasilinear viscoelastic (QLV) beam model. Both datasets consist of raw bending moment measurements from a load cell and processed curvature data derived from stereo images.
The relaxation test data provides insights into viscoelastic behavior by illustrating the relationship between moment and curvature across multiple loading levels. This data is used to identify the parameters of the QLV beam model.
The performance test data consists of random deformation patterns and is used to validate the identified QLV beam model.
This dataset supports research aimed at enhancing tip positioning accuracy in steerable catheters for minimally invasive surgeries and advancing viscoelastic material modeling.
Note: The starting time for each loading level in the relaxation tests differs slightly to match the number of data points.
DOI: 10.17632/fr36rc4f23
title: Diversity of understory plant communities in Zhongtiao Mountain: effects of soil properties and microbial composition

description: Original Data
DOI: 10.17632/fr36rc4f23.1
title: Diversity of understory plant communities in Zhongtiao Mountain: effects of soil properties and microbial composition

description: Original Data
DOI: 10.17632/pm88r72bfj.1
title: STATA codes for Earlier move, greater joy: Migration timing and subjective well-being among rural migrants in China

description: Relevant STATA codes to replicate the results presented in "Earlier move, greater joy: Migration timing and subjective well-being among rural migrants in China”
DOI: 10.17632/4xjm23kzbm.1
title: Global Zircon Trace Element Compilation and Geochronology and Trace Element Data of Detrital Zircon and Rutile from Gano Bauxite, Northern Iran

description: The supplementary tables, which include a compilation of zircon trace elements from three types of magmatic rocks (Table S1) and three types of magma (Table S2), as well as the results of U–Pb and trace elements analysis of Gano bauxite zircon (Table S3), Lu-Hf analysis of Gano bauxite zircon (Table S4), and U-Pb analysis of Gano bauxite rutile (Table S5).
DOI: 10.17632/d54b4fk6pp.1
title: Water sound material questionnaire and HRV data: Evaluating the potential of music soundscape therapy in psychological stress management of college students

description: This study aims to explore the potential effect of music soundscape therapy in psychological stress management of college students, especially the role of water sound materials and their vibration effects in relieving stress. The study recruited 34 college students as the final research subjects, including 13 males and 21 females, aged between 18 and 25 years old, with an average age of 21 years old. In the experiment, three types of water sound interventions were uniformly carried out on the college students: ocean wave sound, stream sound, and drizzle sound. At the same time, the body information values of different stages of courage were captured by using Apple Watch with HRV monitoring function, so as to quantitatively evaluate the psychological stress level as a whole. After the overall intervention, participants were required to fill in the quantitative questionnaire of the Psychoacoustic Perception Scale (PPS) to evaluate the perception of the sound materials. After the test was completed, the comprehensive questionnaire and HRV data results were archived.
This study analyzed and statistically analyzed the experimental results using SPSS, and the archived contents are as follows: 1. PPS Data, 2. HRV Data, 3. Three types of water sound materials. This study follows the principles of the Declaration of Helsinki and has been approved by the Ethics Committee of Taiwan, China (IRB Certificate No. 2018-1006-56 Foundation for Medical Research Ethics Consortium, Taiwan). The subjects voluntarily participated in this study and signed the informed consent.
This study is an empirical study on the application of music therapy in the field of mental health. It combines the numerical results of questionnaire surveys and HRV sports bracelet feedback to quantitatively evaluate the impact of water sound materials on the psychological stress level of college students. The psychological and physiological mechanisms behind music soundscape therapy can be comprehensively observed through the questionnaire surveys and HRV values of the subjects.
DOI: 10.17632/2zpg636krc.1
title: Hindu Muslim Hate Comments Dataset in Bangla (Bangladesh and India)

description: The religious dataset consisting of Hindu and Muslim hate comments from Bangladesh and India in the Bangla language is a collection of online comments that contain religious hate speech targeting either the Hindu or Muslim communities. These comments were gathered from various sources such as newspapers, social media platforms, and online forums. The purpose of collecting this data is to analyze the prevalence of religious intolerance, identify patterns in hate speech, and contribute to the development of tools for automatically detecting and mitigating such content.

Key Features of the Dataset:
Source and Collection:

Comments were sourced from both Bangladesh and India, reflecting religious sentiments in these neighboring countries where tensions between religious groups have often been a social issue.
Sources include Bangla-language social media, news articles, opinion pieces, and comments sections on websites.

Content:
The dataset contains a mix of both Hindu-targeted hate speech and Muslim-targeted hate speech, with derogatory, offensive, and inflammatory remarks based on religion.
Hate comments include stereotypical statements, incitement to violence, communal hatred, and discriminatory language directed at members of the opposing community.

Purpose and Use Cases:
Hate Speech Detection: This dataset is useful for developing machine learning models that can automatically identify and flag harmful content on social media platforms.
Social Science Research: Researchers can study the psychological and sociopolitical factors that drive such hate speech.
Policy and Moderation Tools: Governments, social media platforms, and civil society organizations can use insights from this dataset to design anti-hate speech policies and create moderation systems that reduce online hate.

Challenges:
Contextual Nuances: Understanding the cultural and religious context of Bangla comments is crucial for accurately identifying hate speech. A comment that might seem neutral in one context could be deeply offensive in another.
Code-Switching: Some comments might mix Bangla with English or regional languages, complicating the classification and sentiment analysis process.
Bias in Data: The dataset might reflect a certain level of social bias depending on the region from which it was collected, which needs to be addressed when training AI models.

Conclusion:
This dataset offers valuable insights into the dynamics of religious hate speech in Bangladesh and India, two countries with diverse religious populations and a history of interfaith tension. It can help in the development of tools for mitigating online hate speech, while also fostering better understanding and tolerance across religious communities.
DOI: 10.17632/jpctk2kfxg.1
title: Data for simulated experiment

description: Data for simulated experiment
DOI: 10.17632/mjbd7z22dc.1
title: Data for bird species at Ethniko Thalassio Parko Alonnisou

description: This sheet includes Raw data for bird species that inhabitate or migrate in or out Ethniko Thalassio Parko Alonnisou
DOI: 10.17632/3t67j7byr8.1
title: E-CIGARETTE USE ON ACADEMIC OF GEN Z

description: Research questionnaire on electronic cigarettes in the zoomer generation
DOI: 10.17632/4r279ht645.1
title: GOVERNMENT CONSUMPTION ON TRADE BALANCE IN ASEAN
DOI: 10.15468/dl.njacyz
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "GadmGid is IDN.4.1_1",
 "TaxonKey is Passeriformes",
 "Year 1994-2023"
 ]
}

 The dataset includes 21 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051547-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/v5ztjt8wcj.1
title: Data for: Urban fruit bats give birth earlier in the season compared to rural females

description: Data collected from 10 colonies in urban and rural locations in Israel over 3 years
DOI: 10.17632/72kt2nktfk
title: visual representation model

description: Software for visualizing the information of geospatial digital twin
DOI: 10.17632/72kt2nktfk.1
title: visual representation model

description: Software for visualizing the information of geospatial digital twin