cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/sr2dt8vb2c
title: supplymentary tables

description: Research hypothesis: We investigated the association between herpetic infections and therapies involving biologics or Janus kinase inhibitors in patients with atopic dermatitis.
Table S1. This table shows 13 selected PT entries associated with herpesvirus infections and indicates which PT entries are included in each of the four major categories.
Table S2. The table illustrates the 2x2 contingency table used for adverse drug reaction assessment, defining the elements a, b, c, d, and N, and detailing the computational procedure for a, b, c, and d in each stratified category.
Table S3. This table shows the positive criteria for the four signal detection methods used in this study: ROR, PRR, EBGM, and IC.
DOI: 10.17632/sr2dt8vb2c.1
title: supplymentary tables

description: Research hypothesis: We investigated the association between herpetic infections and therapies involving biologics or Janus kinase inhibitors in patients with atopic dermatitis.
Table S1. This table shows 13 selected PT entries associated with herpesvirus infections and indicates which PT entries are included in each of the four major categories.
Table S2. The table illustrates the 2x2 contingency table used for adverse drug reaction assessment, defining the elements a, b, c, d, and N, and detailing the computational procedure for a, b, c, and d in each stratified category.
Table S3. This table shows the positive criteria for the four signal detection methods used in this study: ROR, PRR, EBGM, and IC.
DOI: 10.17632/t5vr27spng
title: Gil-Wong Dataset

description: Dataset abput the problem
DOI: 10.17632/t5vr27spng.1
title: Gil-Wong Dataset

description: Dataset abput the problem
DOI: 10.15468/dl.u53fgt
title: Occurrence Download

description: A dataset containing 59 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aglaomorpha coronans",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 59 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028300-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/k5x4bff25s
title: Experiences of PICU Nurses in Caring for Critically Ill and Dying Children: A Multinational Qualitative Study and Policy Implications

description: Title of Dataset:
Experiences of PICU Nurses in Caring for Critically Ill and Dying Children: Multinational Interview Data (2025)

Author:
Dr. Fernan Torreno (sole author)

Description:
This dataset contains de-identified qualitative interview transcripts and demographic data collected from 100 pediatric intensive care unit (PICU) nurses across ten countries (Saudi Arabia, Israel, United Kingdom, United States, Philippines, India, New Zealand, Nigeria, Russia, and Iraq/Iran). The dataset explores nurses’ stressors, emotional consequences, and coping strategies when caring for critically ill or dying children.

Data collection was conducted between January and June 2025 using semi-structured interviews via online platforms (Zoom, Microsoft Teams, WhatsApp, Facebook Messenger). All transcripts were anonymized and assigned unique codes (e.g., PH-01 for Philippines Nurse 1).

Contents:
 1. Transcripts: 100 interview transcripts (text format, anonymized).
 2. Demographics file (Table 1): Age, gender, years of PICU experience, shift patterns.
 3. Themes file (Table 2): Coded themes, subthemes, and exemplar quotes.
 4. Supporting documents: Interview guide, coding framework.

File formats: .docx, .txt, .csv (for demographics and coding summary).

Potential uses:
 • Comparative qualitative analysis of PICU nursing experiences.
 • Cross-cultural studies on coping and resilience in pediatric end-of-life care.
 • Informing nursing education, psychosocial interventions, and health policy development.

Ethics:
Ethical approval was obtained from the Institutional Review Board of a tertiary hospital in Manila, Philippines (protocol code: 2025-PICU-Q-001). All participants provided electronic informed consent.

Availability:
De-identified dataset to be deposited in Mendeley Data under open license (CC-BY 4.0) for academic and policy use.
DOI: 10.17632/k5x4bff25s.1
title: Experiences of PICU Nurses in Caring for Critically Ill and Dying Children: A Multinational Qualitative Study and Policy Implications

description: Title of Dataset:
Experiences of PICU Nurses in Caring for Critically Ill and Dying Children: Multinational Interview Data (2025)

Author:
Dr. Fernan Torreno (sole author)

Description:
This dataset contains de-identified qualitative interview transcripts and demographic data collected from 100 pediatric intensive care unit (PICU) nurses across ten countries (Saudi Arabia, Israel, United Kingdom, United States, Philippines, India, New Zealand, Nigeria, Russia, and Iraq/Iran). The dataset explores nurses’ stressors, emotional consequences, and coping strategies when caring for critically ill or dying children.

Data collection was conducted between January and June 2025 using semi-structured interviews via online platforms (Zoom, Microsoft Teams, WhatsApp, Facebook Messenger). All transcripts were anonymized and assigned unique codes (e.g., PH-01 for Philippines Nurse 1).

Contents:
 1. Transcripts: 100 interview transcripts (text format, anonymized).
 2. Demographics file (Table 1): Age, gender, years of PICU experience, shift patterns.
 3. Themes file (Table 2): Coded themes, subthemes, and exemplar quotes.
 4. Supporting documents: Interview guide, coding framework.

File formats: .docx, .txt, .csv (for demographics and coding summary).

Potential uses:
 • Comparative qualitative analysis of PICU nursing experiences.
 • Cross-cultural studies on coping and resilience in pediatric end-of-life care.
 • Informing nursing education, psychosocial interventions, and health policy development.

Ethics:
Ethical approval was obtained from the Institutional Review Board of a tertiary hospital in Manila, Philippines (protocol code: 2025-PICU-Q-001). All participants provided electronic informed consent.

Availability:
De-identified dataset to be deposited in Mendeley Data under open license (CC-BY 4.0) for academic and policy use.
DOI: 10.17632/c9dx38dvsb
title: AFRICA/TUN-Cc/Cs/209

description: The AFRICA/TUN-Cc/Cs/209 database covers 3 clay parameters, including compression index (Cc), swelling index (Cs), and swelling pressure (σs). This database contains 209 clay records compiled from six countries (Tunisia, Algeria, Morocco, Canada, France and United States) in 3 continents.
DOI: 10.57760/sciencedb.j00139.00271
title: Development of mouse endometrial assembloids with luminal epithelial-like structures in vitro
title: Development of mouse endometrial assembloids with luminal epithelial-like structures in vitro

description: We collected samples from ALI-mEnAOs, SC-mEnAOs, and uterus of pregnant mice on GD3 (pre-receptive phase), GD4 (receptive phase) and GD5 (decidualized phase) for RNA-seq analysis. ALI-mEnAOs and SC-mEnAOs were treated with E2 to represent the pre-receptive phase and treated with E2+P4+cAMP to represent the receptive phase, respectively. All mEnAOs were collected on Day 11 for RNA-Seq analysis. Female mice were mated with fertile males, and the mating was confirmed the next morning by the presence of a vaginal plug. The day of the vaginal plug was denoted as Gestional day (GD1). The whole uterus was obtained at 9:00 AM on GD3, GD4 and GD5 respectively for RNA-seq.
description: We collected samples from ALI-mEnAOs, SC-mEnAOs, and uterus of pregnant mice on GD3 (pre-receptive phase), GD4 (receptive phase) and GD5 (decidualized phase) for RNA-seq analysis. ALI-mEnAOs and SC-mEnAOs were treated with E2 to represent the pre-receptive phase and treated with E2+P4+cAMP to represent the receptive phase, respectively. All mEnAOs were collected on Day 11 for RNA-Seq analysis. Female mice were mated with fertile males, and the mating was confirmed the next morning by the presence of a vaginal plug. The day of the vaginal plug was denoted as Gestional day (GD1). The whole uterus was obtained at 9:00 AM on GD3, GD4 and GD5 respectively for RNA-seq.
DOI: 10.17632/c9dx38dvsb.1
title: AFRICA/TUN-Cc/Cs/209

description: The AFRICA/TUN-Cc/Cs/209 database covers 3 clay parameters, including compression index (Cc), swelling index (Cs), and swelling pressure (σs). This database contains 209 clay records compiled from six countries (Tunisia, Algeria, Morocco, Canada, France and United States) in 3 continents.
DOI: 10.17632/hmd8b3nbff
title: Survey Dataset on Occupational Health, Work Conditions, and Safety Practices of Welders in Bangladesh (2022)

description: This dataset contains structured survey responses collected from welders across multiple engineering workshops in Bangladesh during 2022. The survey captured detailed information on worker demographics, welding experience, daily work conditions, personal protective equipment (PPE) usage, and a range of self-reported health symptoms such as headaches, eye burning, sleep disorders, and breathing issues.

The dataset consists of 300+ entries with 27 variables and was curated to support research in occupational health, industrial safety, and labor conditions in low- and middle-income countries. This dataset can be used for statistical analysis, policy design, or machine learning applications related to worker health risk assessment.
DOI: 10.17632/hmd8b3nbff.3
title: Survey Dataset on Occupational Health, Work Conditions, and Safety Practices of Welders in Bangladesh (2022)

description: This dataset contains structured survey responses collected from welders across multiple engineering workshops in Bangladesh during 2022. The survey captured detailed information on worker demographics, welding experience, daily work conditions, personal protective equipment (PPE) usage, and a range of self-reported health symptoms such as headaches, eye burning, sleep disorders, and breathing issues.

The dataset consists of 300+ entries with 27 variables and was curated to support research in occupational health, industrial safety, and labor conditions in low- and middle-income countries. This dataset can be used for statistical analysis, policy design, or machine learning applications related to worker health risk assessment.
DOI: 10.57760/sciencedb.j00139.00265
title: Transcriptome data of mice with reduced expression of NOCT in brain tissue
title: NOCT在小鼠大脑组织表达量降低的小鼠转录组数据

description: Animal models constructed by inhibiting the expression of NOCT gene in mouse brain tissue, including transgenic mouse models and adenovirus models
description: Animal models constructed by inhibiting the expression of NOCT gene in mouse brain tissue, including transgenic mouse models and adenovirus models
DOI: 10.17632/5t58jjvxms
title: Electromechanical Impedance Dataset of Geopolymer Concrete under Different Mix Proportions and Curing Ages

description: This dataset contains electromechanical impedance (EMI) measurements of geopolymer concrete specimens with varying molarity and silica fume content. The data were collected using piezoelectric sensors to record conductance (S) and susceptance (B) responses over a frequency sweep. Measurements were performed at different curing ages (1, 3, 7, and 28 days) to capture the evolution of microstructural and mechanical properties.

The dataset includes multiple mix designs (e.g., 8M, 12M, 16M NaOH solutions with 0%, 10%, and 15% micro silica replacement) across separate Excel sheets. Each sheet provides frequency-dependent EMI signatures, which can be used for structural health monitoring (SHM), durability assessment, and predictive modeling of geopolymer concrete performance. A summary sheet is also provided for comparative analysis.

Potential Applications:

Development of EMI-based monitoring techniques for geopolymer concrete.

Understanding the effect of curing age and mix design on impedance response.

Benchmarking for machine learning models in concrete material characterization.
DOI: 10.17632/5t58jjvxms.1
title: Electromechanical Impedance Dataset of Geopolymer Concrete under Different Mix Proportions and Curing Ages

description: This dataset contains electromechanical impedance (EMI) measurements of geopolymer concrete specimens with varying molarity and silica fume content. The data were collected using piezoelectric sensors to record conductance (S) and susceptance (B) responses over a frequency sweep. Measurements were performed at different curing ages (1, 3, 7, and 28 days) to capture the evolution of microstructural and mechanical properties.

The dataset includes multiple mix designs (e.g., 8M, 12M, 16M NaOH solutions with 0%, 10%, and 15% micro silica replacement) across separate Excel sheets. Each sheet provides frequency-dependent EMI signatures, which can be used for structural health monitoring (SHM), durability assessment, and predictive modeling of geopolymer concrete performance. A summary sheet is also provided for comparative analysis.

Potential Applications:

Development of EMI-based monitoring techniques for geopolymer concrete.

Understanding the effect of curing age and mix design on impedance response.

Benchmarking for machine learning models in concrete material characterization.
DOI: 10.17632/kth44b735y
title: LINF_270031600

description: Sucrose-6-phosphate hydrolase; Leishmania infantum (strain JPCM5)
DOI: 10.17632/kth44b735y.1
title: LINF_270031600

description: Sucrose-6-phosphate hydrolase; Leishmania infantum (strain JPCM5)
DOI: 10.17632/5gxr6wmkwp
title: The influence of artificial intelligence and economic complexity on the energy transition: The moderating role of geopolitical risk

description: Data for the manuscript The influence of artificial intelligence and economic complexity on the energy transition: The moderating role of geopolitical risk
DOI: 10.17632/5gxr6wmkwp.1
title: The influence of artificial intelligence and economic complexity on the energy transition: The moderating role of geopolitical risk

description: Data for the manuscript The influence of artificial intelligence and economic complexity on the energy transition: The moderating role of geopolitical risk
DOI: 10.11583/dtu.30138304
title: Data from Hvid-Olsen <i>et al.</i> (2025) J. Appl. Phys. <b>138</b>.

description: In each subfolder, reflecting the figures of the main text, there is a readme file describing the data.For usage, please cite as: Hvid-Olsen, Thor; Hoegfeldt, Christina; Chanda, Amit; Palliotto, Alessandro; Gupta, Anshu; Park, Daesung; et al. (2025). Data from Hvid-Olsen <i>et al.</i> (2025) J. Appl. Phys. <b>138</b>. Technical University of Denmark. Dataset. https://doi.org/10.11583/DTU.30138304 <br><br><br>
DOI: 10.11583/dtu.30138304.v1
title: Data from Hvid-Olsen <i>et al.</i> (2025) J. Appl. Phys. <b>138</b>.

description: In each subfolder, reflecting the figures of the main text, there is a readme file describing the data.For usage, please cite as: Hvid-Olsen, Thor; Hoegfeldt, Christina; Chanda, Amit; Palliotto, Alessandro; Gupta, Anshu; Park, Daesung; et al. (2025). Data from Hvid-Olsen <i>et al.</i> (2025) J. Appl. Phys. <b>138</b>. Technical University of Denmark. Dataset. https://doi.org/10.11583/DTU.30138304 <br><br><br>
DOI: 10.5281/zenodo.17222374
title: Biofilm formation in carbapenem-resistant Acinetobacter baumannii: Investigating the prevalence of the pgaABCD locus in clinical isolates
DOI: 10.5281/zenodo.17065114
title: Biofilm formation in carbapenem-resistant Acinetobacter baumannii: Investigating the prevalence of the pgaABCD locus in clinical isolates
DOI: 10.17632/wfmj9bknd7
title: GPTRC- GPT Responses Corpus

description: Numerous researchers have shown significant interest in researching and enhancing artificially generated content since the emergence of generative pre-trained transformer models. However, due to the limited availability of extensive datasets, many conducted studies struggle to assess their accuracy. The GPTRC dataset aims to address this issue by furnishing researchers with a substantial collection of responses generated by a GPT model. This dataset comprises 50,134 responses generated in response to questions posed by human users. These responses are produced using OpenAI's publicly accessible GPT-3.5-turbo model, which is currently powering ChatGPT. The questions included in the dataset are sourced from various corners of the internet and various search engines. These questions span a wide spectrum, covering everyday inquiries to intricate puzzles, devoid of any specific industry or subject focus. This diversity enhances the dataset's value, serving as a valuable resource for researchers interested in investigating the efficiency and accuracy of contemporary state-of-the-art artificial intelligence models. Additionally, the dataset can potentially be employed to assess different models' ability to generate responses when provided with an equivalent amount of information, among other potential use cases. Beyond questions and responses, the dataset also encompasses metadata associated with each record. This metadata is generated to assist researchers in filtering or organizing the dataset to align with their specific needs. Key attributes associated with each dataset record include response time and thinking time. The response time attribute denotes the total duration taken by the model to receive the query and produce the complete response, while the thinking time attribute represents the time the model took to process the query before commencing response generation. The combination of these two attributes, along with the query and the response itself, equips researchers with the tools necessary to conduct comprehensive conversation analysis.
DOI: 10.17632/wfmj9bknd7.2
title: GPTRC- GPT Responses Corpus

description: Numerous researchers have shown significant interest in researching and enhancing artificially generated content since the emergence of generative pre-trained transformer models. However, due to the limited availability of extensive datasets, many conducted studies struggle to assess their accuracy. The GPTRC dataset aims to address this issue by furnishing researchers with a substantial collection of responses generated by a GPT model. This dataset comprises 50,134 responses generated in response to questions posed by human users. These responses are produced using OpenAI's publicly accessible GPT-3.5-turbo model, which is currently powering ChatGPT. The questions included in the dataset are sourced from various corners of the internet and various search engines. These questions span a wide spectrum, covering everyday inquiries to intricate puzzles, devoid of any specific industry or subject focus. This diversity enhances the dataset's value, serving as a valuable resource for researchers interested in investigating the efficiency and accuracy of contemporary state-of-the-art artificial intelligence models. Additionally, the dataset can potentially be employed to assess different models' ability to generate responses when provided with an equivalent amount of information, among other potential use cases. Beyond questions and responses, the dataset also encompasses metadata associated with each record. This metadata is generated to assist researchers in filtering or organizing the dataset to align with their specific needs. Key attributes associated with each dataset record include response time and thinking time. The response time attribute denotes the total duration taken by the model to receive the query and produce the complete response, while the thinking time attribute represents the time the model took to process the query before commencing response generation. The combination of these two attributes, along with the query and the response itself, equips researchers with the tools necessary to conduct comprehensive conversation analysis.
DOI: 10.17632/vkyddxg65v.1
title: Code and Data for "Habitat-Mediated Noise Pollution Reduction in Seagrass Meadows"

description: Python code, R code, and supporting data files used to conduct acoustic and statistical analyses as part of the “Habitat-Mediated Noise Pollution Reduction in Seagrass Meadows” project.
DOI: 10.17632/9rmdx6z785
title: DATASET AI and Entrepreneurship in Amazon Teacher Training 2025

description: This dataset corresponds to a sequential explanatory mixed-method study that evaluated the impact of a 40-hour teacher training program in Educational District 15D01 (Ecuadorian Amazon), focused on integrating entrepreneurship methodologies and generative AI tools into secondary education.
DOI: 10.17632/9rmdx6z785.2
title: DATASET AI and Entrepreneurship in Amazon Teacher Training 2025

description: This dataset corresponds to a sequential explanatory mixed-method study that evaluated the impact of a 40-hour teacher training program in Educational District 15D01 (Ecuadorian Amazon), focused on integrating entrepreneurship methodologies and generative AI tools into secondary education.
DOI: 10.5281/zenodo.15278649
title: A Comprehensive GPU-Accelerated Lattice Boltzmann Framework for High-Reynolds-Number Flow in Complex Rod Bundles
DOI: 10.5281/zenodo.15727655
title: A Comprehensive GPU-Accelerated Lattice Boltzmann Framework for High-Reynolds-Number Flow in Complex Rod Bundles
DOI: 10.15468/dl.ym49yd
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Curruca deserticola",
 "Country is one of (Brunei Darussalam, Indonesia, Philippines, Timor-Leste, Singapore)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028301-250920141307145/datasets/export for details.
DOI: 10.17632/fkc7hm3ryd
title: FENÓMENO DE LAS “MEGA IGLESIAS PROTESTANTES” EN COLOMBIA

description: El presente artículo refiere algunos resultados de investigación sobre la relación entre la implementación de las estrategias de “Igle-crecimiento” y el fenómeno de expansión y surgimiento de las llamadas “Mega-iglesias”, a partir de su estudio en una de las iglesias protestantes más representativas del suroccidente colombiano. Se abordó desde una metodología cualitativa por medio de un diseño etnográfico. Entre los resultados más relevantes, se evidencia que la implementación de dichas estrategias constituye no solo una metodología de evangelización, sino que ha adquirido un carácter dogmático transformando la doctrina de la iglesia, creando nuevos significados e interpretaciones teológicas, lo que alerta de un posible nuevo hito en la historia de las religiones.
DOI: 10.17632/fkc7hm3ryd.1
title: FENÓMENO DE LAS “MEGA IGLESIAS PROTESTANTES” EN COLOMBIA

description: El presente artículo refiere algunos resultados de investigación sobre la relación entre la implementación de las estrategias de “Igle-crecimiento” y el fenómeno de expansión y surgimiento de las llamadas “Mega-iglesias”, a partir de su estudio en una de las iglesias protestantes más representativas del suroccidente colombiano. Se abordó desde una metodología cualitativa por medio de un diseño etnográfico. Entre los resultados más relevantes, se evidencia que la implementación de dichas estrategias constituye no solo una metodología de evangelización, sino que ha adquirido un carácter dogmático transformando la doctrina de la iglesia, creando nuevos significados e interpretaciones teológicas, lo que alerta de un posible nuevo hito en la historia de las religiones.