cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/692hjff5jz
title: Supplemental Materials to SecuRoPS Expert Interview

description: This repository, titled "Supplemental Materials to SecuRoPS Expert Interview," contains a collection of documents and files associated with the expert interview study conducted for the validation and refinement of the SecuRoPS framework. The materials include interview transcripts, guidelines, demographic information, coding structures, and risk assessment documentation that were pivotal to the research process. 

The expert interviews were conducted with 21 participants (P1 - P21), representing a diverse range of fields including software development, cybersecurity, AI, and public space management, to gather insights and feedback on the SecuRoPS framework. The repository is structured to support transparency, reproducibility, and further exploration of the interview process, offering access to detailed interview content, the framework's development methodology, and key demographic information. The files are as follows:

1. Expert Interview Transcripts (P1 - P21.docx): Detailed transcripts of the expert interviews, capturing the participants' feedback, comments, and insights.
2. Interview Guideline (SecuRoPS).pdf: The structured set of questions and thematic areas used during the interviews.
3. Participant Information Sheet.pdf: A document outlining the purpose of the study, participant roles, and ethical considerations.
4. Participant Demographic Information.pdf: A summary of the participants’ demographics, including their fields of expertise and professional background.
5. Codes and Subcodes for SecuRoPS Expert Interview.pdf: A document detailing the coding framework used to analyze the interview data, including main themes and subthemes.
6. SecuRoPS_Risk_Assessment_Sheet.xlsx: A risk assessment sheet outlining the potential risks associated with the research process and how they were managed.

Altogether, this repository provides 26 supplemental files, offering a complete view of the expert interview study and the methodological rigor applied in the development and validation of the SecuRoPS framework.
DOI: 10.17632/692hjff5jz.1
title: Supplemental Materials to SecuRoPS Expert Interview

description: This repository, titled "Supplemental Materials to SecuRoPS Expert Interview," contains a collection of documents and files associated with the expert interview study conducted for the validation and refinement of the SecuRoPS framework. The materials include interview transcripts, guidelines, demographic information, coding structures, and risk assessment documentation that were pivotal to the research process. 

The expert interviews were conducted with 21 participants (P1 - P21), representing a diverse range of fields including software development, cybersecurity, AI, and public space management, to gather insights and feedback on the SecuRoPS framework. The repository is structured to support transparency, reproducibility, and further exploration of the interview process, offering access to detailed interview content, the framework's development methodology, and key demographic information. The files are as follows:

1. Expert Interview Transcripts (P1 - P21.docx): Detailed transcripts of the expert interviews, capturing the participants' feedback, comments, and insights.
2. Interview Guideline (SecuRoPS).pdf: The structured set of questions and thematic areas used during the interviews.
3. Participant Information Sheet.pdf: A document outlining the purpose of the study, participant roles, and ethical considerations.
4. Participant Demographic Information.pdf: A summary of the participants’ demographics, including their fields of expertise and professional background.
5. Codes and Subcodes for SecuRoPS Expert Interview.pdf: A document detailing the coding framework used to analyze the interview data, including main themes and subthemes.
6. SecuRoPS_Risk_Assessment_Sheet.xlsx: A risk assessment sheet outlining the potential risks associated with the research process and how they were managed.

Altogether, this repository provides 26 supplemental files, offering a complete view of the expert interview study and the methodological rigor applied in the development and validation of the SecuRoPS framework.
DOI: 10.17632/xhsr5hb8v9
title: Continuum analysis of 2D tensegrity modules

description: The data set contains two Mathematica files for analyzing two-dimensional (2D) tensegrity modules within the continuum model.

The first file covers non-rotated configurations and provides complete results for the hexagonal module, including the drawing, elasticity matrix, inverse elasticity matrix, and closed-form expressions for technical coefficients.

The second file addresses rotated configurations and presents results obtained by rotating the elasticity matrix by an arbitrary angle.

The codes are universal, i.e., they can be used to analyze 2D tensegrity modules with arbitrary geometry, which is always specified at the beginning of the file.
DOI: 10.17632/xhsr5hb8v9.1
title: Continuum analysis of 2D tensegrity modules

description: The data set contains two Mathematica files for analyzing two-dimensional (2D) tensegrity modules within the continuum model.

The first file covers non-rotated configurations and provides complete results for the hexagonal module, including the drawing, elasticity matrix, inverse elasticity matrix, and closed-form expressions for technical coefficients.

The second file addresses rotated configurations and presents results obtained by rotating the elasticity matrix by an arbitrary angle.

The codes are universal, i.e., they can be used to analyze 2D tensegrity modules with arbitrary geometry, which is always specified at the beginning of the file.
DOI: 10.17632/cg2gyr9k2z
title: Persuasive Linguistic Style and Customer Trust in TikTok Live Streaming Commerce: The Mediating Role of Customer Engagement

description: This dataset contains survey responses related to consumer behavior in TikTok live streaming commerce, with a particular focus on the beauty and personal care sector in Indonesia. The data was collected in 2025 through an online questionnaire distributed via Google Forms over a three-month period. A total of 390 respondents participated, all of whom had prior experience purchasing beauty and personal care products through TikTok live streams.

The dataset includes demographic information (such as age, gender, and education level) as well as variables measuring consumer perceptions and behaviors. These variables capture persuasive linguistic style of live stream hosts, customer trust, customer engagement, and purchase intention. All constructs were measured using a 5-point Likert scale.

The dataset is suitable for quantitative explanatory research and can be analyzed using advanced statistical techniques such as Partial Least Squares Structural Equation Modeling (PLS-SEM). It provides valuable insights into the influence of host communication styles on consumer trust, engagement, and purchase decisions in live streaming commerce. Researchers and practitioners can use this dataset to explore digital retail dynamics, customer behavior, and strategies for enhancing engagement and sales effectiveness in TikTok commerce.
DOI: 10.17632/cg2gyr9k2z.1
title: Persuasive Linguistic Style and Customer Trust in TikTok Live Streaming Commerce: The Mediating Role of Customer Engagement

description: This dataset contains survey responses related to consumer behavior in TikTok live streaming commerce, with a particular focus on the beauty and personal care sector in Indonesia. The data was collected in 2025 through an online questionnaire distributed via Google Forms over a three-month period. A total of 390 respondents participated, all of whom had prior experience purchasing beauty and personal care products through TikTok live streams.

The dataset includes demographic information (such as age, gender, and education level) as well as variables measuring consumer perceptions and behaviors. These variables capture persuasive linguistic style of live stream hosts, customer trust, customer engagement, and purchase intention. All constructs were measured using a 5-point Likert scale.

The dataset is suitable for quantitative explanatory research and can be analyzed using advanced statistical techniques such as Partial Least Squares Structural Equation Modeling (PLS-SEM). It provides valuable insights into the influence of host communication styles on consumer trust, engagement, and purchase decisions in live streaming commerce. Researchers and practitioners can use this dataset to explore digital retail dynamics, customer behavior, and strategies for enhancing engagement and sales effectiveness in TikTok commerce.
DOI: 10.17632/wf65dwbkkn.1
title: UDA-FakB1 MD data

description: molecular dynamic simulation data for UDA binding with FakB1
DOI: 10.17632/8965c9hpxr
title: Artificial intelligence – Numerical study of melting and solidification heat transfer in a bundle of petal tubes embedded in metal foam: Dataset

description: Dataset for training Artificial Neural Networks
DOI: 10.17632/8965c9hpxr.1
title: Artificial intelligence – Numerical study of melting and solidification heat transfer in a bundle of petal tubes embedded in metal foam: Dataset

description: Dataset for training Artificial Neural Networks
DOI: 10.17632/28rkmzv9gb
title: Transparent and Interpretable Crop Yield Forecasting using XAI Techniques and Machine Learning Models

description: The historical agricultural yield data, encompasses records from 1997 to 2020, spanning 27 Indian states and 3 Union Territories. It comprises 19,689 instances, each described by ten distinct attributes. The dataset captures six agricultural seasons and includes data on 55 unique crop types cultivated across diverse agro-climatic regions of India
DOI: 10.17632/28rkmzv9gb.1
title: Transparent and Interpretable Crop Yield Forecasting using XAI Techniques and Machine Learning Models

description: The historical agricultural yield data, encompasses records from 1997 to 2020, spanning 27 Indian states and 3 Union Territories. It comprises 19,689 instances, each described by ten distinct attributes. The dataset captures six agricultural seasons and includes data on 55 unique crop types cultivated across diverse agro-climatic regions of India
DOI: 10.17632/6nx3spyhz8
title: FloA-SaeS simulation

description: Coarse grained simulation for FloA binding with SaeS. Moecular dynamic simulation for 5 microseconds.
DOI: 10.17632/6nx3spyhz8.1
title: FloA-SaeS simulation

description: Coarse grained simulation for FloA binding with SaeS. Moecular dynamic simulation for 5 microseconds.
DOI: 10.17632/t4sf6y6m7d
title: Eve Colson-Sihra, Jose De Sousa, and Thierry Mayer. 2025. Replication Data for: "Tastes, Geography and Culture". Journal of Urban Economics.

description: Does geography shape tastes? This paper investigates the geography of tastes using French household surveys from 1974 and 2005. We propose a two-step method: first, we estimate regional tastes using a structural demand system; then, we compute bilateral taste differences and link them to geographic distance. The 1974 results provide evidence of ‘gravity in taste’—that is, geographically closer regions have more similar food tastes. By 2005, this geographic pattern has largely disappeared. However, tastes are not homogenized. Regional diversity persists, with differences in taste determined by sociocultural similarity rather than geographic distance.

*Programs and Data*
We share the replication programs and data here. All details can be found in the readme file.
DOI: 10.17632/t4sf6y6m7d.1
title: Eve Colson-Sihra, Jose De Sousa, and Thierry Mayer. 2025. Replication Data for: "Tastes, Geography and Culture". Journal of Urban Economics.

description: Does geography shape tastes? This paper investigates the geography of tastes using French household surveys from 1974 and 2005. We propose a two-step method: first, we estimate regional tastes using a structural demand system; then, we compute bilateral taste differences and link them to geographic distance. The 1974 results provide evidence of ‘gravity in taste’—that is, geographically closer regions have more similar food tastes. By 2005, this geographic pattern has largely disappeared. However, tastes are not homogenized. Regional diversity persists, with differences in taste determined by sociocultural similarity rather than geographic distance.

*Programs and Data*
We share the replication programs and data here. All details can be found in the readme file.
DOI: 10.17632/9m42crs4ms
title: data

description: Meteorological data
DOI: 10.17632/9m42crs4ms.1
title: data

description: Meteorological data
DOI: 10.17632/h3gkprvxr2
title: Data Package of "The Interplay of Occupants’ Behavior and Building Performance"

description: This dataset supports the article “The Interplay of Occupants’ Behavior and Building Performance.” Occupants significantly affect the performance of buildings and, in turn, are influenced by internal environmental conditions. Considering that people spend nearly 90% of their time indoors, and buildings account for 36% of global energy consumption and 39% of annual global CO2 emissions, it is essential to identify and investigate these interrelated influences. Occupant behavior has recently been recognized as a major source of uncertainty in building performance simulation. Therefore, advancing knowledge on the dynamic human–building interplay can contribute to improving building simulation programs, promoting energy-efficient building design, and enhancing occupant comfort.
The study adopted the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) methodology to conduct a systematic literature review. PRISMA provides a structured framework that ensures transparency and reproducibility through a checklist and flow diagram, covering identification, screening, eligibility, data extraction, quality assessment, synthesis, and presentation of results. In this study, PRISMA was applied to create a robust knowledge base for evaluating occupant behavior in buildings from the three core aspects of monitoring, modeling, and simulation. The methodology was implemented in seven steps:
1- Determining the scope of the study
2- Defining search resources
3- Constructing search strings using Boolean operators and relevant keywords
4- Executing database searches
5- Filtering search results
6- Integrating and screening retrieved records
7- Conducting bibliometric and qualitative analyses

Bibliometric analysis was then applied to enhance visualization and examine the current state of publications, using VOSviewer software to generate bibliometric maps and network analyses.
The dataset provided here contains all relevant materials supporting the study, including:
- Extracted bibliographic records of the analyzed articles.
- Detailed search queries, Boolean operators, and keyword strategies used across scientific databases.
- Input and configuration files for VOSviewer, enabling replication of the bibliometric analyses and network visualizations.
- Supplementary codes and scripts employed during data processing, analysis, and visualization.

This dataset offers transparency, reproducibility, and reusability for the systematic review and bibliometric analyses presented in the article. It may also serve as a valuable reference for future research on bibliometric methods, systematic reviews, and the interplay of occupant behavior and building performance.
DOI: 10.17632/h3gkprvxr2.1
title: Data Package of "The Interplay of Occupants’ Behavior and Building Performance"

description: This dataset supports the article “The Interplay of Occupants’ Behavior and Building Performance.” Occupants significantly affect the performance of buildings and, in turn, are influenced by internal environmental conditions. Considering that people spend nearly 90% of their time indoors, and buildings account for 36% of global energy consumption and 39% of annual global CO2 emissions, it is essential to identify and investigate these interrelated influences. Occupant behavior has recently been recognized as a major source of uncertainty in building performance simulation. Therefore, advancing knowledge on the dynamic human–building interplay can contribute to improving building simulation programs, promoting energy-efficient building design, and enhancing occupant comfort.
The study adopted the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) methodology to conduct a systematic literature review. PRISMA provides a structured framework that ensures transparency and reproducibility through a checklist and flow diagram, covering identification, screening, eligibility, data extraction, quality assessment, synthesis, and presentation of results. In this study, PRISMA was applied to create a robust knowledge base for evaluating occupant behavior in buildings from the three core aspects of monitoring, modeling, and simulation. The methodology was implemented in seven steps:
1- Determining the scope of the study
2- Defining search resources
3- Constructing search strings using Boolean operators and relevant keywords
4- Executing database searches
5- Filtering search results
6- Integrating and screening retrieved records
7- Conducting bibliometric and qualitative analyses

Bibliometric analysis was then applied to enhance visualization and examine the current state of publications, using VOSviewer software to generate bibliometric maps and network analyses.
The dataset provided here contains all relevant materials supporting the study, including:
- Extracted bibliographic records of the analyzed articles.
- Detailed search queries, Boolean operators, and keyword strategies used across scientific databases.
- Input and configuration files for VOSviewer, enabling replication of the bibliometric analyses and network visualizations.
- Supplementary codes and scripts employed during data processing, analysis, and visualization.

This dataset offers transparency, reproducibility, and reusability for the systematic review and bibliometric analyses presented in the article. It may also serve as a valuable reference for future research on bibliometric methods, systematic reviews, and the interplay of occupant behavior and building performance.
DOI: 10.17632/448jv3gx8j
title: Incidence and Prevalence of Perioral Dermatitis in the United States: A Retrospective Cohort Study using TriNetX

description: Supplementary documents for "Incidence and Prevalence of Perioral Dermatitis in the United States: A Retrospective Cohort Study using TriNetX."

1. Supplementary Table 1
2. Supplementary eMethods
DOI: 10.17632/448jv3gx8j.1
title: Incidence and Prevalence of Perioral Dermatitis in the United States: A Retrospective Cohort Study using TriNetX

description: Supplementary documents for "Incidence and Prevalence of Perioral Dermatitis in the United States: A Retrospective Cohort Study using TriNetX."

1. Supplementary Table 1
2. Supplementary eMethods
DOI: 10.15468/dl.dzxgqz
title: Occurrence Download

description: A dataset containing 211957 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sinapis arvensis"
 ]
}

 The dataset includes 211957 records from 1707 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026586-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jpn5dv
title: Occurrence Download

description: A dataset containing 2999 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Colombia",
 "TaxonKey is Platyrrhinus Saussure, 1860"
 ]
}

 The dataset includes 2999 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014442-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6ck9j2
title: Occurrence Download

description: A dataset containing 87 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-80.97114 -13.05469,-66.90261 -13.05469,-66.90261 -7.42969,-80.97114 -7.42969,-80.97114 -13.05469))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Persea americana Mill."
 ]
}

 The dataset includes 87 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014443-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zm6zg9
title: Occurrence Download

description: A dataset containing 692911 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Sicalis flaveola (Linnaeus, 1766)"
 ]
}

 The dataset includes 692911 records from 511 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014432-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b7sgfa
title: Occurrence Download

description: A dataset containing 5223 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 "Geometry POLYGON((-76.49552436388923 3.0254730228641336,-76.49552436388923 3.013332662352582,-76.46428102424025 3.013332662352582,-76.46428102424025 3.0254730228641336,-76.49552436388923 3.0254730228641336))"
 ]
}

 The dataset includes 5223 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014444-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.etzesu
title: Occurrence Download

description: A dataset containing 289 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Conolophus pallidus Heller, 1903"
 ]
}

 The dataset includes 289 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014445-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/12029829
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.wxezs9
title: Occurrence Download

description: A dataset containing 524107 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Silene dioica (L.) Clairv.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 524107 records from 1576 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014446-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.