cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34740/kaggle/dsv/14580875
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.35097/aw3dzkum9ud9r6yf
title: Animation of particle lift-off in turbulent open channel flow based on data from PR-DNS

description: The animation shows the particle motion and the coherent vortical structures in particle-resolved DNS simulations of turbulent open channel flow. Please refer to the accompanying manuscript for the configuration, numerical method and the parameter values: "Investigating the mechanism by which finite-size heavy particles are entrained in turbulent open channel flow over a smooth surface" by T. Bzikadze, M. Weyrauch and M. Uhlmann, (J. Phys.: Conf. Ser., 2026) - [DOI TO BE ADDED when available]. The movie features a temporal sequence of duration corresponding to approximately 20 bulk time units, starting just after inserting the particles into the flow. The visualization shows two different views of the same data, indicating the particles (colored in black when in contact with the wall and in pink when lifted off) as well as a vertical line to indicate their wall distance more clearly. The channel wall is colored with the local streamwise shear-stress, the color indicating its fluctuation around the global average on a colormap from blue to red. The white semi-transparent surfaces are defined by the second invariant of the velocity gradient tensor (Hunt et al., Proc. Summer Prog. CTR, 1988) taking a value equal to five times its r.m.s. value. Note that for clarity the data is only shown for the lower half of the open channel domain, i.e. for the wall-normal distance 0&lt;=y&lt;=h/2, where 'h' is the channel depth.
description: This mp4 animation should be compatible with many devices.
DOI: 10.5281/zenodo.18337454
title: DIFFERENCE BETWEEN FORMAL AND INFORMAL SPEECH IN JAPANESE

description: The grammatical system of the Japanese language is complex and multi-layered, in which the level of formality of speech is an important linguistic factor. In Japanese society, social hierarchy, age, position, distance between interlocutors, and the choice of speech appropriate to the situation are of great importance. Therefore, formal (keigo) and informal (futsūkei) speech forms in Japanese are clearly distinguished grammatically. This thesis analyzes the main differences between the grammatical forms used in formal and informal speech in Japanese, using the examples of verb forms, negative and interrogative forms, conjunctions, modal expressions, and categories of respect and humility.
DOI: 10.5281/zenodo.18337455
title: DIFFERENCE BETWEEN FORMAL AND INFORMAL SPEECH IN JAPANESE

description: The grammatical system of the Japanese language is complex and multi-layered, in which the level of formality of speech is an important linguistic factor. In Japanese society, social hierarchy, age, position, distance between interlocutors, and the choice of speech appropriate to the situation are of great importance. Therefore, formal (keigo) and informal (futsūkei) speech forms in Japanese are clearly distinguished grammatically. This thesis analyzes the main differences between the grammatical forms used in formal and informal speech in Japanese, using the examples of verb forms, negative and interrogative forms, conjunctions, modal expressions, and categories of respect and humility.
DOI: 10.25824/redu/htzubn
title: Métodos de solução para o problema integrado de produção e roteamento de veículos

description: Os dados depositados correspondem às instâncias computacionais utilizadas para a avaliação dos métodos de solução propostos na dissertação intitulada “Métodos de solução para o problema integrado de produção e roteamento de veículos”. As instâncias utilizadas são baseadas nos conjuntos benchmark originalmente propostos por Archetti et al. (2011), amplamente empregados na literatura para problemas de produção e distribuição. Essas instâncias foram cuidadosamente adaptadas e ajustadas para atender às especificidades do Problema Integrado de Produção e Roteamento de Veículos (IPRP), incorporando simultaneamente decisões de planejamento da produção, gestão de estoques e roteamento de veículos com diferentes capacidades. O desenho das instâncias foi estruturado a partir da combinação de três parâmetros principais: Número de clientes (N): 15, 30, 50, 100, 150 e 200 nós; Número de períodos de planejamento (P): 4, 6, 9 e 12 períodos; Número de veículos (V): 2, 3, 4 e 6 veículos. Cada instância foi nomeada seguindo uma notação padronizada que codifica suas principais características. Por exemplo, a instância N15_P4_V2 representa um cenário com 15 nós (clientes mais o depósito), 4 períodos de planejamento e 2 veículos disponíveis. Essa nomenclatura facilita a identificação das instâncias e permite uma análise comparativa sistemática dos resultados obtidos nos experimentos computacionais. Os arquivos depositados incluem os parâmetros das instâncias, os dados de entrada utilizados pelos algoritmos e os resultados computacionais associados às diferentes configurações analisadas ao longo do estudo.
DOI: 10.6084/m9.figshare.28299966
title: An exploratory survey assessing the determinants of heat stress and heat strain in the Canadian mining industry from the worker’s perspective

description: With mines extending deeper and rising surface temperatures, workers are exposed to hotter environments. This study aimed to characterize heat stress and strain in the Canadian mining industry and evaluate the utility of the Heat Strain Score Index (HSSI), combined with additional self-reported adverse health outcomes. An exploratory web-based survey was conducted among workers (<i>n</i> = 119) in the Canadian mining industry. The survey included 74 questions on workers’ risk perception, strategies for heat stress management, and the HSSI—a validated tool to classify workplace heat stress based on various workplace factors and indicators of heat strain. Most workers reported that heat stress is an occupational hazard associated with their duties and tasks (89%). Based on the HSSI, 22% of respondents were classified as high risk, 42% at moderate risk, and 36% at low risk for heat stress and heat strain. Those with higher HSSI scores self-reported more heat-related adverse signs and symptoms with a higher prevalence of self-reported heat-related illness (<i>p</i> &lt; 0.01). Despite workers reporting various self-initiated practices (e.g., drinking water) and management-enforced heat mitigation practices (e.g., rest breaks), many workers reported still having experienced signs or symptoms of heat stress (86%) and heat-related illnesses (37%). The study found elevated heat stress and strain levels among a sample of workers in the Canadian mining industry despite workers employing various heat-mitigating strategies. Heat stress management programs considering mining-specific factors and challenges are needed to safeguard worker health and safety.
DOI: 10.6084/m9.figshare.28299966.v1
title: An exploratory survey assessing the determinants of heat stress and heat strain in the Canadian mining industry from the worker’s perspective

description: With mines extending deeper and rising surface temperatures, workers are exposed to hotter environments. This study aimed to characterize heat stress and strain in the Canadian mining industry and evaluate the utility of the Heat Strain Score Index (HSSI), combined with additional self-reported adverse health outcomes. An exploratory web-based survey was conducted among workers (<i>n</i> = 119) in the Canadian mining industry. The survey included 74 questions on workers’ risk perception, strategies for heat stress management, and the HSSI—a validated tool to classify workplace heat stress based on various workplace factors and indicators of heat strain. Most workers reported that heat stress is an occupational hazard associated with their duties and tasks (89%). Based on the HSSI, 22% of respondents were classified as high risk, 42% at moderate risk, and 36% at low risk for heat stress and heat strain. Those with higher HSSI scores self-reported more heat-related adverse signs and symptoms with a higher prevalence of self-reported heat-related illness (<i>p</i> &lt; 0.01). Despite workers reporting various self-initiated practices (e.g., drinking water) and management-enforced heat mitigation practices (e.g., rest breaks), many workers reported still having experienced signs or symptoms of heat stress (86%) and heat-related illnesses (37%). The study found elevated heat stress and strain levels among a sample of workers in the Canadian mining industry despite workers employing various heat-mitigating strategies. Heat stress management programs considering mining-specific factors and challenges are needed to safeguard worker health and safety.
DOI: 10.6084/m9.figshare.28200081
title: Regression tools for chemical release modeling: An additive manufacturing case study

description: Chemical release data are essential for performing chemical risk assessments to understand the potential exposures arising from industrial processes. Often, these data are unknown or unavailable and must be estimated. A case study of volatile organic compound releases during extrusion-based additive manufacturing is used here to explore the viability of various regression methods for predicting chemical releases to inform chemical assessments. The methods assessed in this work include linear Least Squares, Least Absolute Shrinkage and Selection Operator (LASSO) and Ridge regression, classification and regression tree, random forest model, and neural network analysis. Secondary data describing polymeric extrusion in multiple applications are curated and assembled in a dataset to support regression modeling using default parameters for the various approaches. The potential to add noise to the dataset and improve regression is evaluated using synthetic data generation. Evaluation of model performance for a common test set found all methods were able to achieve predictions within 10%-error for up to 98% of the test sample population. The degree to which this level of performance was maintained when varying the number and type of features for regression was dependent on the model type. Linear methods and neural network analysis predicted the most test samples within 10%-error for smaller numbers of features while tree-based approaches could accommodate a larger number of features. The number and type of features can be important if the desire is to make chemical-specific release predictions. The inclusion of release data from related processes generally improved test set predictions across all models while the use of synthetic data as implemented here resulted in smaller increases in test sample predictions within 10%-error. Future work should focus on improving access to primary data and optimizing models to achieve maximum predictive performance of environmental releases to support chemical risk assessment.
DOI: 10.6084/m9.figshare.28200081.v1
title: Regression tools for chemical release modeling: An additive manufacturing case study

description: Chemical release data are essential for performing chemical risk assessments to understand the potential exposures arising from industrial processes. Often, these data are unknown or unavailable and must be estimated. A case study of volatile organic compound releases during extrusion-based additive manufacturing is used here to explore the viability of various regression methods for predicting chemical releases to inform chemical assessments. The methods assessed in this work include linear Least Squares, Least Absolute Shrinkage and Selection Operator (LASSO) and Ridge regression, classification and regression tree, random forest model, and neural network analysis. Secondary data describing polymeric extrusion in multiple applications are curated and assembled in a dataset to support regression modeling using default parameters for the various approaches. The potential to add noise to the dataset and improve regression is evaluated using synthetic data generation. Evaluation of model performance for a common test set found all methods were able to achieve predictions within 10%-error for up to 98% of the test sample population. The degree to which this level of performance was maintained when varying the number and type of features for regression was dependent on the model type. Linear methods and neural network analysis predicted the most test samples within 10%-error for smaller numbers of features while tree-based approaches could accommodate a larger number of features. The number and type of features can be important if the desire is to make chemical-specific release predictions. The inclusion of release data from related processes generally improved test set predictions across all models while the use of synthetic data as implemented here resulted in smaller increases in test sample predictions within 10%-error. Future work should focus on improving access to primary data and optimizing models to achieve maximum predictive performance of environmental releases to support chemical risk assessment.
DOI: 10.5281/zenodo.18337471
title: TASHKILOTDA BULLYING VA MOBBINGNI OLDINI OLISHDA XAVFSIZ MUHITNING ROLI

description: x
DOI: 10.5281/zenodo.18337470
title: TASHKILOTDA BULLYING VA MOBBINGNI OLDINI OLISHDA XAVFSIZ MUHITNING ROLI

description: x
DOI: 10.22000/gss0g6yxt7ydx3xz
title: VellalasseryFAaSpS2025

description: Data to reproduce the figures in publication.
DOI: 10.34740/kaggle/dsv/14580921
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.6084/m9.figshare.31123972
title: Coriandrum sativum improves prognosis in clear cell renal cell carcinoma by targeting NEK6 to modulate the immune microenvironment: a predictive study based on network pharmacology and multi-omics analysis

description: <i>Coriandrum sativum</i> L. (coriander) is a medicinal herb with diverse pharmacological properties, but its molecular mechanism in clear cell renal cell carcinoma (ccRCC) remains unclear. This study aimed to systematically investigate the underlying mechanisms of coriander in ccRCC by multi-omics analysis. Active compounds were screened using Traditional Chinese Medicine Systems Pharmacology (TCMSP) and predicted targets identified <i>via</i> SwissTargetPrediction (STP) and Similarity ensemble approach (SEA). Transcriptomic data from GSE53757 were analysed with WGCNA and intersected with coriander targets. Key genes were selected using LASSO, SVM, and random forest models. NEK6 was further analysed for clinical relevance, methylation, immune association, single-cell expression, molecular docking and molecular dynamics simulation. Fourteen coriander compounds were identified, yielding 22 potential ccRCC-related targets. NEK6 and PYGL were consistently selected by all machine learning algorithms. NEK6 was overexpressed in ccRCC and associated with better prognosis, promoter hypomethylation, and lower mutation rates. NEK6 expression correlated with immune infiltration, particularly macrophages, and was enriched in tumour and myeloid cells at the single-cell level. Molecular docking and molecular dynamics simulation revealed strong and stable binding of luteolin, quercetin, and chryseriol to NEK6. NEK6 may function as a prognostic and immune-regulatory biomarker in ccRCC. Coriander flavonoids could target NEK6 to modulate the immune microenvironment, providing new insight into plant-based therapeutic strategies for ccRCC.
DOI: 10.6084/m9.figshare.31123972.v1
title: Coriandrum sativum improves prognosis in clear cell renal cell carcinoma by targeting NEK6 to modulate the immune microenvironment: a predictive study based on network pharmacology and multi-omics analysis

description: <i>Coriandrum sativum</i> L. (coriander) is a medicinal herb with diverse pharmacological properties, but its molecular mechanism in clear cell renal cell carcinoma (ccRCC) remains unclear. This study aimed to systematically investigate the underlying mechanisms of coriander in ccRCC by multi-omics analysis. Active compounds were screened using Traditional Chinese Medicine Systems Pharmacology (TCMSP) and predicted targets identified <i>via</i> SwissTargetPrediction (STP) and Similarity ensemble approach (SEA). Transcriptomic data from GSE53757 were analysed with WGCNA and intersected with coriander targets. Key genes were selected using LASSO, SVM, and random forest models. NEK6 was further analysed for clinical relevance, methylation, immune association, single-cell expression, molecular docking and molecular dynamics simulation. Fourteen coriander compounds were identified, yielding 22 potential ccRCC-related targets. NEK6 and PYGL were consistently selected by all machine learning algorithms. NEK6 was overexpressed in ccRCC and associated with better prognosis, promoter hypomethylation, and lower mutation rates. NEK6 expression correlated with immune infiltration, particularly macrophages, and was enriched in tumour and myeloid cells at the single-cell level. Molecular docking and molecular dynamics simulation revealed strong and stable binding of luteolin, quercetin, and chryseriol to NEK6. NEK6 may function as a prognostic and immune-regulatory biomarker in ccRCC. Coriander flavonoids could target NEK6 to modulate the immune microenvironment, providing new insight into plant-based therapeutic strategies for ccRCC.
DOI: 10.6084/m9.figshare.31123975
title: Supplementary tables from Effect of intraspecific variation in fruit traits on animal sensory ecology

description: Tables S1-S6
DOI: 10.6084/m9.figshare.31123975.v1
title: Supplementary tables from Effect of intraspecific variation in fruit traits on animal sensory ecology

description: Tables S1-S6
DOI: 10.5281/zenodo.18337507
title: ЯНГИ ТУҒИЛГАН ЧАҚАЛОҚЛАРДА ОЧИҚ АРТЕРИАЛ ЙЎЛ ВА УНИНГ ПАТОЛОГИК АҲАМИЯТИ

description: x
DOI: 10.5281/zenodo.18337508
title: ЯНГИ ТУҒИЛГАН ЧАҚАЛОҚЛАРДА ОЧИҚ АРТЕРИАЛ ЙЎЛ ВА УНИНГ ПАТОЛОГИК АҲАМИЯТИ

description: x
DOI: 10.5281/zenodo.18337486
title: Data for : Enhancing Discourse Parsing for Local Structures from Social Media with LLM-Generated Data

description: Ddataset used for the "Enhancing Discourse Parsing for Local Structures from Social Media with LLM-Generated Data" COLING 2025 main conference paper. The dataset contains 1,170 local RST discourse structures, including 900 synthetic examples and 270 gold examples. These examples cover three social media platforms: online news comment sections (from the Globe and Mail Canadadian newspaper website), a discussion forum (Reddit), and a social media messaging platform (Twitter).

The particular RST discourse structur consists of the arrangement of JOINT JOINT EVALUATION (JJE) coherence relations, which mimics a logical-argumentative flow by presenting a series of implicitly related statements, leading to a climactic statement.
DOI: 10.5281/zenodo.18337485
title: Data for : Enhancing Discourse Parsing for Local Structures from Social Media with LLM-Generated Data

description: Ddataset used for the "Enhancing Discourse Parsing for Local Structures from Social Media with LLM-Generated Data" COLING 2025 main conference paper. The dataset contains 1,170 local RST discourse structures, including 900 synthetic examples and 270 gold examples. These examples cover three social media platforms: online news comment sections (from the Globe and Mail Canadadian newspaper website), a discussion forum (Reddit), and a social media messaging platform (Twitter).

The particular RST discourse structur consists of the arrangement of JOINT JOINT EVALUATION (JJE) coherence relations, which mimics a logical-argumentative flow by presenting a series of implicitly related statements, leading to a climactic statement.
DOI: 10.5281/zenodo.18337524
title: ЯНГИ ТУҒИЛГАН ЧАҚАЛОҚЛАРДА ОЧИҚ ОВАЛ ТЕШИКНИНГ ПОСТНАТАЛ ЭВОЛЮЦИЯСИ ВА ПАТОЛОГИК ТРАНСФОРМАЦИЯСИ: ЗАМОНАВИЙ АДАБИЁТЛАР ШАРҲИ

description: x
DOI: 10.5281/zenodo.18337525
title: ЯНГИ ТУҒИЛГАН ЧАҚАЛОҚЛАРДА ОЧИҚ ОВАЛ ТЕШИКНИНГ ПОСТНАТАЛ ЭВОЛЮЦИЯСИ ВА ПАТОЛОГИК ТРАНСФОРМАЦИЯСИ: ЗАМОНАВИЙ АДАБИЁТЛАР ШАРҲИ

description: x
DOI: 10.25824/redu/kmiigj
title: Subtipos macrofágicos e gotículas lipídicas na doença de Jorge Lobo e hanseníase virchowiana - análise imunoistoquímica

description: O conjunto de dados foi gerado para estudar a atuação dos subtipos macrofágicos e gotículas lipídicas na doença de Jorge Lobo (dJL) e hanseníase virchowiana (HV), como parte de tese de doutorado. Trata-se de um estudo retrospectivo e analítico de amostras de pele, e dados clínicos, de 52 pacientes com dJL e de 16 com HV. A dJL é uma micose cutânea crônica, de patogenia pouco compreendida, em que o macrófago é a célula predominante. A hanseníase, por sua vez, é uma doença granulomatosa cutânea, milenarmente estudada. Visando compreender a atuação da população macrofágica e gotículas lipídicas na patogenia da dJL e as similaridades imunológicas com a HV, foram investigados, comparativamente, os aspectos clínicos, histológicos convencionais, o perfil do infiltrado macrofágico e a presença de gotículas lipídicas na dJL e na HV.
DOI: 10.60507/fk2/ahygmn/r4xfki
title: metadata.tar.gz
DOI: 10.60507/fk2/ahygmn/kfqglu
title: readme.txt
DOI: 10.60507/fk2/ahygmn
title: Replication Data for "Insecure Ingredients? Exploring Dependency Update Patterns of Bundled JavaScript Packages on the Web"

description: This dataset contains replication data for the paper "Insecure Ingredients? Exploring Dependency Update Patterns of Bundled JavaScript Packages on the Web". This includes metadata of the 6 weeks of Tranco top 100k scans. This does not include the dataset of JavaScript files (for legal reasons). For access to the scraped files, please message the corresponding author.
DOI: 10.60507/fk2/lyidhi/1vbfyt
title: index.cpp
DOI: 10.5281/zenodo.18310812
title: A dataset of paired auscultatory and oscillometric blood pressure measurements from routine clinical practice
title: OSC-AUS-BPM

description: Non-invasive blood pressure (BP) checks are important for finding high blood pressure and making medical decisions, but there can be differences between what doctors hear with a stethoscope and what automated machines measure. We present OSC-AUS-BPM, a collection of blood pressure measurements taken during regular cardiology outpatient visits using a method that allows for independent readings while the cuff is being inflated and deflated.

An experienced cardiologist measured systolic and diastolic blood pressure (AUS) while the device was slowly releasing air from the cuff; after this measurement, the automated results were displayed, and simultaneously, the device recorded its own systolic, diastolic, and mean blood pressure (OSC) along with the heart rate.

The dataset comprises 1054 measurement records from 223 unique subjects. Each record is accompanied by contextual metadata to support stratified analyses, including age, sex, height, weight, BMI, arm circumference, cuff type, rhythm classification, and a semi-automated processing pipeline removed test-phase entries, screened implausible or logically inconsistent values, corrected only unambiguous typographical errors, and flagged incomplete records.

All data were anonymized prior to publication and contain no directly identifiable information. OSC-AUS-BPM helps compare different ways to measure blood pressure, look at differences in blood pressure readings among key patient groups, and do research on signal processing with the collected data.