cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29946419
title: Supplementary Material for: Proteinase-activated receptor 2 (PAR-2) expression and F2RL1 genetic variants are associated with asthma: a case-control study in the Chinese population

description: Asthma is a chronic respiratory disorder characterized by airway inflammation, hyperresponsiveness, and reversible airflow obstruction. Despite therapeutic strategies, asthma remains inadequately controlled in many patients. Genetic predisposition plays a significant role in asthma pathogenesis, and the Proteinase-Activated Receptor 2 (PAR-2), encoded by the F2RL1 gene, has been associated with asthma. However, the role of PAR-2 and F2RL1 variants in the Chinese population remains unclear. This study aims to investigate the relationship between common F2RL1 polymorphisms and PAR-2 expression, and their association with asthma susceptibility and clinical severity in a Chinese population. This study enrolled 250 clinically diagnosed Chinese patients with asthma and matched healthy controls of a similar age and geographical region. Four single nucleotide polymorphisms in the F2RL1 gene (rs1529505, rs631465, rs2242991, and rs2243057) were genotyped using the TaqMan genotyping method. PAR-2 mRNA expression was quantified through real-time PCR in intravenous blood samples. Statistical analyses were conducted using GraphPad Prism v10 and other software. Variants of F2RL1 gene, specifically rs1529505 (OR= 1.65, 95%CI: 1.26 to 2.14, P =0.0002) and rs2272991 (OR= 1.89, 95%CI: 1.32 to 2.71, P =0.0005), were associated with asthma predisposition. Genetic variants rs1529505 and rs631465 were associated with susceptibility and clinical severity in Chinese patients with asthma. The mutant genotypes of rs2272991 and rs1529505 correlated with elevated PAR-2 mRNA expression levels. Haplotype distribution did not reveal significant differences between asthma cases and controls, nor among severity groups. This study elucidated the influence of F2RL1 polymorphisms on PAR-2 mRNA expression and their impact on asthma pathogenesis within the Chinese population. Further research involving diverse populations is necessary to validate these findings.
DOI: 10.6084/m9.figshare.29946419.v1
title: Supplementary Material for: Proteinase-activated receptor 2 (PAR-2) expression and F2RL1 genetic variants are associated with asthma: a case-control study in the Chinese population

description: Asthma is a chronic respiratory disorder characterized by airway inflammation, hyperresponsiveness, and reversible airflow obstruction. Despite therapeutic strategies, asthma remains inadequately controlled in many patients. Genetic predisposition plays a significant role in asthma pathogenesis, and the Proteinase-Activated Receptor 2 (PAR-2), encoded by the F2RL1 gene, has been associated with asthma. However, the role of PAR-2 and F2RL1 variants in the Chinese population remains unclear. This study aims to investigate the relationship between common F2RL1 polymorphisms and PAR-2 expression, and their association with asthma susceptibility and clinical severity in a Chinese population. This study enrolled 250 clinically diagnosed Chinese patients with asthma and matched healthy controls of a similar age and geographical region. Four single nucleotide polymorphisms in the F2RL1 gene (rs1529505, rs631465, rs2242991, and rs2243057) were genotyped using the TaqMan genotyping method. PAR-2 mRNA expression was quantified through real-time PCR in intravenous blood samples. Statistical analyses were conducted using GraphPad Prism v10 and other software. Variants of F2RL1 gene, specifically rs1529505 (OR= 1.65, 95%CI: 1.26 to 2.14, P =0.0002) and rs2272991 (OR= 1.89, 95%CI: 1.32 to 2.71, P =0.0005), were associated with asthma predisposition. Genetic variants rs1529505 and rs631465 were associated with susceptibility and clinical severity in Chinese patients with asthma. The mutant genotypes of rs2272991 and rs1529505 correlated with elevated PAR-2 mRNA expression levels. Haplotype distribution did not reveal significant differences between asthma cases and controls, nor among severity groups. This study elucidated the influence of F2RL1 polymorphisms on PAR-2 mRNA expression and their impact on asthma pathogenesis within the Chinese population. Further research involving diverse populations is necessary to validate these findings.
DOI: 10.15468/dl.hhe9km
title: Occurrence Download

description: A dataset containing 2554 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((179.65459 -19.25466,180.34678 -19.25466,180.34678 -18.49207,179.65459 -18.49207,179.65459 -19.25466))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 2554 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006565-251120083545085/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/13856353
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.17666767
title: Quantum Based Temperature Standard Linking Thermal Energy to Frequency

description: We propose a rigorous framework

connecting thermal energy to

characteristic quantum frequency,

providing a pathway toward a

quantum-based definition of

temperature. By equating

E(thermal)=( kB × T) with quantum

energy (E = ħ × ω = h × f), we derive

exact scaling relationships. This

approach integrates Planck’s

quantization, Wien’s displacement

law, and Einstein’s photon concept,

suggesting a method for defining

temperature via directly measurable

frequencies, suitable for

consideration in SI standardization.
DOI: 10.5281/zenodo.17666766
title: Quantum Based Temperature Standard Linking Thermal Energy to Frequency

description: We propose a rigorous framework

connecting thermal energy to

characteristic quantum frequency,

providing a pathway toward a

quantum-based definition of

temperature. By equating

E(thermal)=( kB × T) with quantum

energy (E = ħ × ω = h × f), we derive

exact scaling relationships. This

approach integrates Planck’s

quantization, Wien’s displacement

law, and Einstein’s photon concept,

suggesting a method for defining

temperature via directly measurable

frequencies, suitable for

consideration in SI standardization.
DOI: 10.6084/m9.figshare.30698768.v1
title: Replication Data for: Improving Phishing Resilience with AI-Generated Training: Large-Scale Evidence on Prompting, Personalization, and Duration

description: This repository contains the replication dataset, analysis scripts, and experimental materials for the research paper <b>"Improving Phishing Resilience with AI-Generated Training: Large-Scale Evidence on Prompting, Personalization, and Duration"</b>.Study OverviewThe associated study investigates the effectiveness of Large Language Models (LLMs) in generating tailored phishing awareness training. Through two controlled experiments involving 480 participants, the research examines how Prompting Strategies (Study 1), Personalization, and Training Duration (Study 2) influence user detection accuracy, recall, and F1-scores against realistic phishing emails.Repository ContentsThis archive provides all necessary resources to reproduce the statistical analyses and replicate the experimental design:<b>📂 Datasets:</b> Anonymized and cleaned participant data (CSV format) for Study 1 ($N=80$) and Study 2 ($N=400$), including performance metrics (Pre/Post) and psychometric profiles (BFI-2-XS, StP-II-B, TEIQue-SF).<b>📂 Analysis Code:</b> Python scripts using <i>pandas</i> and <i>pingouin</i> to replicate the Mixed ANOVA, t-tests, and correlation analyses reported in the paper.<b>📂 Experimental Materials:</b> The complete set of email stimuli (genuine vs. phishing) developed using the NIST Phish Scale, including screenshots and HTML templates.<b>📂 LLM Prompts:</b> The exact system and user prompts used to generate the training modules via OpenAI's model, covering four prompting strategies (Direct-profile, Few-shot, Table-based, Guideline-based) and personalization logic.<b>📂 Instruments:</b> Details on the psychometric scales and the ad-hoc training reaction questionnaire used in the study.Methodological NoteThe data collection was conducted on the Prolific platform with approval from the Ethics Committee of the University of Bari. All Personal Identifiable Information (PII) has been removed to ensure participant anonymity.
DOI: 10.6084/m9.figshare.30698768
title: Replication Data for: Improving Phishing Resilience with AI-Generated Training: Large-Scale Evidence on Prompting, Personalization, and Duration

description: This repository contains the replication dataset, analysis scripts, and experimental materials for the research paper <b>"Improving Phishing Resilience with AI-Generated Training: Large-Scale Evidence on Prompting, Personalization, and Duration"</b>.Study OverviewThe associated study investigates the effectiveness of Large Language Models (LLMs) in generating tailored phishing awareness training. Through two controlled experiments involving 480 participants, the research examines how Prompting Strategies (Study 1), Personalization, and Training Duration (Study 2) influence user detection accuracy, recall, and F1-scores against realistic phishing emails.Repository ContentsThis archive provides all necessary resources to reproduce the statistical analyses and replicate the experimental design:<b>📂 Datasets:</b> Anonymized and cleaned participant data (CSV format) for Study 1 ($N=80$) and Study 2 ($N=400$), including performance metrics (Pre/Post) and psychometric profiles (BFI-2-XS, StP-II-B, TEIQue-SF).<b>📂 Analysis Code:</b> Python scripts using <i>pandas</i> and <i>pingouin</i> to replicate the Mixed ANOVA, t-tests, and correlation analyses reported in the paper.<b>📂 Experimental Materials:</b> The complete set of email stimuli (genuine vs. phishing) developed using the NIST Phish Scale, including screenshots and HTML templates.<b>📂 LLM Prompts:</b> The exact system and user prompts used to generate the training modules via OpenAI's model, covering four prompting strategies (Direct-profile, Few-shot, Table-based, Guideline-based) and personalization logic.<b>📂 Instruments:</b> Details on the psychometric scales and the ad-hoc training reaction questionnaire used in the study.Methodological NoteThe data collection was conducted on the Prolific platform with approval from the Ethics Committee of the University of Bari. All Personal Identifiable Information (PII) has been removed to ensure participant anonymity.
DOI: 10.5281/zenodo.17704547
title: Climate-Adjusted Tree Seed Sourcing for Forest Landscape Restoration in Ghana
title: Dataset/Figures

description: 1.   This archive contains a list of 20 tree species compiled from a 2022 survey on tree seed sourcing strategies in Ghana, complemented by relevant scientific literature and forest inventories conducted by Hawthorne and Abu-Juam (1995) and Oteng-Amoako (2006). The selected species were prioritised for their economic importance and their relevance to restoration initiatives across the country. Species presence data were obtained from the Global Biodiversity Information Facility (GBIF, 2024) and processed in R Studio 4.4.0 using the Dismo, Jsonlite, rgbif, bgifdb, and Raster packages (R Core Team, 2024). The presence (occurrence) records retrieved from GBIF between May and June 2024 were restricted to Ghana’s national boundary (xmin: -3.258473, xmax: 1.191527, ymin: 4.741527, ymax: 11.17486). This ensured that the dataset is geographically appropriate for habitat suitability modelling within Ghana. The dataset’s reliability is further supported by the validated geographic coordinates provided by GBIF, as species occurrence is highly dependent on location-specific accuracy (GBIF, 2024).

 2.   The archive contains data on the availability of priority timber species for native tree seed sourcing and conservation, derived from habitat suitability maps developed for 20 species across Ghana. These maps were overlaid on 15 delineated seed transfer zones and 266 forest reserve boundaries. Each forest reserve was classified as either within or outside a specific seed transfer zone, and its suitability for the presence of each species was assessed. Within every seed transfer zone, the maps indicate whether each forest and wildlife reserve is suitable or unsuitable for the 20 studied species. For each species, a corresponding dataset has been compiled, detailing its presence or absence across the 266 forest reserves in Ghana. This study provides a useful framework for native tree seed sourcing and the conservation of 20 species in the context of increasing climate change. 
description:
DOI: 10.5281/zenodo.17633113
title: The Relationship Between Quantum Frequency and Molecular Temperature

description: Description:

This dataset contains the calculated quantum frequencies corresponding to different temperatures for metals. It shows the direct relationship between thermal energy and quantum energy, based on the derived constant k_B/h \approx 2.08 \times 10^{ Hz/K. The data can be used to analyze how macroscopic temperature changes affect the emitted photon frequencies and the resulting color variations in heated metals.
DOI: 10.15468/dl.qyjevy
title: Occurrence Download

description: A dataset containing 25819200 species occurrences available in GBIF matching the query:
(Query is too complex. Can be viewed on the landing page)

 The dataset includes 25819200 records from 757 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006554-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qzmse2
title: Occurrence Download

description: A dataset containing 62154 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Malaysia, Indonesia, Papua New Guinea, Brunei Darussalam, Singapore, Timor-Leste, Philippines)",
 "OccurrenceStatus is Present",
 "TaxonKey is Pteropodidae"
 ]
}

 The dataset includes 62154 records from 122 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006550-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.25397
title: Deep sequencing of the original data
title: 深度测序原始数据

description: Senecavirus A , also known as Seneca valley virus , is the sole member of the genus Senecavirus in the family Picornaviridae. The genome of SVA is a single-stranded, positive-sense RNA genome of approximately 7.3 kilobasesin length.The data of this project is the original data obtained by continuously passaging the virus in an RNAi system constructed in vitro and sending the RNA of the P4 and P10 generations of the virus for deep sequencing.
description: Senecavirus A , also known as Seneca valley virus , is the sole member of the genus Senecavirus in the family Picornaviridae. The genome of SVA is a single-stranded, positive-sense RNA genome of approximately 7.3 kilobasesin length.The data of this project is the original data obtained by continuously passaging the virus in an RNAi system constructed in vitro and sending the RNA of the P4 and P10 generations of the virus for deep sequencing.
DOI: 10.57760/sciencedb.j00217.07792
title: Genetic associations between systemic lupus erythematosus and pulmonary arterial hypertension
title: 系统性红斑狼疮和肺动脉高压的遗传关联

description: Objective Epidemiological studies have found a close association between systemic lupus erythematosus (SLE) and pulmonary arterial hypertension (PAH). The aim of this study was to explore the genetic correlation, shared genetic structure, and potential mechanisms between SLE and PAH.Methods Based on the summary data of large - scale genome - wide association studies (GWAS), we evaluated the genetic correlation between SLE and PAH and conducted cross - trait analysis. SMR analysis was used to analyze potential drug targets, and functional annotation and tissue - specific analysis were used as supplementary methods to explore the potential association between the two.Results We found a significant local genetic correlation between SLE and PAH (P &lt; 0.05/2495). A total of 113 possible SNP loci (P &lt; 5×10–8) related to both SLE and PAH were identified. Based on FUMA, 14 risk SNPs associated with both SLE and PAH were identified. Further SMR analysis revealed 27 overlapping potential druggable genes between the two. Based on the stratified LD score regression (S - LDSC) method and FUMA, SNP loci were mainly enriched in skin, whole blood, and liver tissues, while genes showed significant enrichment in whole blood, brain tissue, fibroblasts, and spleen.Conclusion Our study demonstrated the genetic association and shared structure between SLE and PAH and preliminarily revealed the potential regulatory mechanisms.
description: Objective Epidemiological studies have found a close association between systemic lupus erythematosus (SLE) and pulmonary arterial hypertension (PAH). The aim of this study was to explore the genetic correlation, shared genetic structure, and potential mechanisms between SLE and PAH.Methods Based on the summary data of large - scale genome - wide association studies (GWAS), we evaluated the genetic correlation between SLE and PAH and conducted cross - trait analysis. SMR analysis was used to analyze potential drug targets, and functional annotation and tissue - specific analysis were used as supplementary methods to explore the potential association between the two.Results We found a significant local genetic correlation between SLE and PAH (P &lt; 0.05/2495). A total of 113 possible SNP loci (P &lt; 5×10–8) related to both SLE and PAH were identified. Based on FUMA, 14 risk SNPs associated with both SLE and PAH were identified. Further SMR analysis revealed 27 overlapping potential druggable genes between the two. Based on the stratified LD score regression (S - LDSC) method and FUMA, SNP loci were mainly enriched in skin, whole blood, and liver tissues, while genes showed significant enrichment in whole blood, brain tissue, fibroblasts, and spleen.Conclusion Our study demonstrated the genetic association and shared structure between SLE and PAH and preliminarily revealed the potential regulatory mechanisms.
DOI: 10.57760/sciencedb.25395
title: climate data for article :Prediction of flows using climate models for the assessment of the hydrological balance by 2050 in the Mé watershed (Côte d'Ivoire)
title: climate data for article :Prediction of flows using climate models for the assessment of the hydrological balance by 2050 in the Mé watershed (Côte d'Ivoire)

description: Les données sont constituées d’enregistrements de précipitations, de débits et d’évapotranspiration (ETP) à intervalles de temps quotidiens sur les périodes 1986-2005 et 2016-2022 obtenus respectivement à partir de la station pluviométrique d’Azaguié, de la jauge de niveau du pont de Mé et de la station climatique CET d’Attiékoi. Toutes les données de la période 1986-2005 ont été obtenues auprès de la Société d’Exploitation et de Développement Aéroportuaire, Aéronautique et Météorologique (SODEXAM) et celles de la période 2016-2022 ont été obtenues dans le cadre du projet Aghien.
description: Les données sont constituées d’enregistrements de précipitations, de débits et d’évapotranspiration (ETP) à intervalles de temps quotidiens sur les périodes 1986-2005 et 2016-2022 obtenus respectivement à partir de la station pluviométrique d’Azaguié, de la jauge de niveau du pont de Mé et de la station climatique CET d’Attiékoi. Toutes les données de la période 1986-2005 ont été obtenues auprès de la Société d’Exploitation et de Développement Aéroportuaire, Aéronautique et Météorologique (SODEXAM) et celles de la période 2016-2022 ont été obtenues dans le cadre du projet Aghien.
DOI: 10.15468/dl.x4bpbb
title: Occurrence Download

description: A dataset containing 15611 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Leptonycteris nivalis, Leptonycteris yerbabuenae, Choeronycteris mexicana, Antrozous pallidus)",
 "Country is one of (Mexico, United States of America)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 15611 records from 121 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049313-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jmy7v7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tropicoperdix graydoni",
 "Country is Chinese Taipei",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049314-250811113504898/datasets/export for details.
DOI: 10.15468/dl.scpsgu
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ecballium elaterium",
 "Country is Slovakia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049315-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c6augu
title: Occurrence Download

description: A dataset containing 13175 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ecballium elaterium",
 "Country is Spain",
 "HasCoordinate is true"
 ]
}

 The dataset includes 13175 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049316-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.