cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30477054
title: Impact of the cytokine milieu on fibroblasts and their characterization in chronic rhinosinusitis with nasal polyps

description: Nasal polyps (NP) contribute to treatment resistance in chronic rhinosinusitis with nasal polyps (CRSwNP); however, the cellular and molecular mechanisms underlying nasal polypogenesis are not completely understood. To investigate whether the characteristics of fibroblasts differ under the surrounding tissue environment. Patients with CRSwNP were divided into two groups based on the eosinophil infiltration in the NP; the gene expression levels were evaluated. Fibroblasts established from NP were assessed for functional changes following cytokine stimulation, and RNA sequencing (RNA-seq) was performed. <i>IL5</i> and <i>IL13</i> expression was higher, and <i>IFNG</i> and <i>TNF</i> lower, in NP from eosinophilic CRS (ECRS) patients compared to non-ECRS. <i>FOXP3</i> expression was significantly upregulated in ECRS patients. Cytokine-stimulated fibroblasts from both ECRS and non-ECRS showed similar expression of fibroblast-to-myofibroblast transition-related genes and significantly reduced migratory capacity following IL-13 and TNF-α treatment. RNA sequencing revealed six and thirty-five significant activated and inactivated signaling pathways, respectively, in the Diseases Bio Functions analysis. Fibroblasts contribute to nasal polypogenesis irrespective of inflammation type in CRSwNP. Although their behavior is regulated by the immune microenvironment, our findings also highlight fibroblasts as potential therapeutic targets, supporting both endotypic classification and novel treatment strategies.
DOI: 10.6084/m9.figshare.30477054.v1
title: Impact of the cytokine milieu on fibroblasts and their characterization in chronic rhinosinusitis with nasal polyps

description: Nasal polyps (NP) contribute to treatment resistance in chronic rhinosinusitis with nasal polyps (CRSwNP); however, the cellular and molecular mechanisms underlying nasal polypogenesis are not completely understood. To investigate whether the characteristics of fibroblasts differ under the surrounding tissue environment. Patients with CRSwNP were divided into two groups based on the eosinophil infiltration in the NP; the gene expression levels were evaluated. Fibroblasts established from NP were assessed for functional changes following cytokine stimulation, and RNA sequencing (RNA-seq) was performed. <i>IL5</i> and <i>IL13</i> expression was higher, and <i>IFNG</i> and <i>TNF</i> lower, in NP from eosinophilic CRS (ECRS) patients compared to non-ECRS. <i>FOXP3</i> expression was significantly upregulated in ECRS patients. Cytokine-stimulated fibroblasts from both ECRS and non-ECRS showed similar expression of fibroblast-to-myofibroblast transition-related genes and significantly reduced migratory capacity following IL-13 and TNF-α treatment. RNA sequencing revealed six and thirty-five significant activated and inactivated signaling pathways, respectively, in the Diseases Bio Functions analysis. Fibroblasts contribute to nasal polypogenesis irrespective of inflammation type in CRSwNP. Although their behavior is regulated by the immune microenvironment, our findings also highlight fibroblasts as potential therapeutic targets, supporting both endotypic classification and novel treatment strategies.
DOI: 10.5281/zenodo.15542729
title: Hourly Climate Projections for Singapore under SSP2-4.5 and SSP5-8.5

description: This dataset contains projected future climate time series for Singapore generated under two emission scenarios: SSP2-4.5 and SSP5-8.5. Projections are provided for two future periods, namely mid-century (2046–2065) and end-century (2081–2100). The data were generated using a stochastic downscaling methodology develop by Fatichi et al. (2011; 2016). The stochastic downscaling procedure is based on a combination of locally observed meteorological data for current climate, projections from global climate models (GCMs) for future climate, and the use of an hourly stochastic weather generator, AWE-GEN. The historical observed meteorological data is collected from Paya Lebar station. Information for future climate under two emission scenarios is derived from simulations of 25 GCMs in the Coupled Model Intercomparing Project Phase 6 (CMIP6). For each scenario and time period, 50 realizations were produced for 101 sampled parameter sets of AWE-GEN, resulting in 5050 simulations representing future climate conditions.

The dataset includes cliamte variables such as air temperature, precipitation, relative humidity, and global radiation at hourly resolution, supporting high-resolution climate impact modeling for urban planning, water management, and climate adaptation research. Each time series is a MAT file containing the following variables with the name and the measurement unit below.



Prs-- Precipitation [mm h-1]

Ns --Cloud cover [0-1]

Tas --Air temperature [°C]

Rsws -- Global solar radiation [W m-2]

Us -- Relative Humidity [0-1]

Wss -- Wind Speed [m s-1]

Pres -- Atmospheric Pressure [mbar]

Rdirs -- Direct solar radiation [W m-2]

Rdifs-- Diffuse solar radiation [W m-2]

SAB1 -- Direct solar radiation UV/VIS band [W m-2]

SAD1-- Diffuse solar radiation UV/VIS band [W m-2]

SAB2-- Direct solar radiation NIR band [W m-2]

SAD2-- Diffuse solar radiation NIR band [W m-2]

PARB-- Direct photosyntetically active solar radiation [W m-2]

PARD -- Diffuse photosyntetically active solar radiation [W m-2]


This dataset was developed as part of the CLUE project, titled “Climate and Land-use changes: Effects on nutrient inputs of Singapore reservoirs.” The Project was supportted by PUB, Singapore's National Water Agency, through the Competitive Funding for Water Research (CWR) (Award Number: CWR-2102-0009).
DOI: 10.5281/zenodo.15542730
title: Hourly Climate Projections for Singapore under SSP2-4.5 and SSP5-8.5

description: This dataset contains projected future climate time series for Singapore generated under two emission scenarios: SSP2-4.5 and SSP5-8.5. Projections are provided for two future periods, namely mid-century (2046–2065) and end-century (2081–2100). The data were generated using a stochastic downscaling methodology develop by Fatichi et al. (2011; 2016). The stochastic downscaling procedure is based on a combination of locally observed meteorological data for current climate, projections from global climate models (GCMs) for future climate, and the use of an hourly stochastic weather generator, AWE-GEN. The historical observed meteorological data is collected from Paya Lebar station. Information for future climate under two emission scenarios is derived from simulations of 25 GCMs in the Coupled Model Intercomparing Project Phase 6 (CMIP6). For each scenario and time period, 50 realizations were produced for 101 sampled parameter sets of AWE-GEN, resulting in 5050 simulations representing future climate conditions.

The dataset includes cliamte variables such as air temperature, precipitation, relative humidity, and global radiation at hourly resolution, supporting high-resolution climate impact modeling for urban planning, water management, and climate adaptation research. Each time series is a MAT file containing the following variables with the name and the measurement unit below.



Prs-- Precipitation [mm h-1]

Ns --Cloud cover [0-1]

Tas --Air temperature [°C]

Rsws -- Global solar radiation [W m-2]

Us -- Relative Humidity [0-1]

Wss -- Wind Speed [m s-1]

Pres -- Atmospheric Pressure [mbar]

Rdirs -- Direct solar radiation [W m-2]

Rdifs-- Diffuse solar radiation [W m-2]

SAB1 -- Direct solar radiation UV/VIS band [W m-2]

SAD1-- Diffuse solar radiation UV/VIS band [W m-2]

SAB2-- Direct solar radiation NIR band [W m-2]

SAD2-- Diffuse solar radiation NIR band [W m-2]

PARB-- Direct photosyntetically active solar radiation [W m-2]

PARD -- Diffuse photosyntetically active solar radiation [W m-2]


This dataset was developed as part of the CLUE project, titled “Climate and Land-use changes: Effects on nutrient inputs of Singapore reservoirs.” The Project was supportted by PUB, Singapore's National Water Agency, through the Competitive Funding for Water Research (CWR) (Award Number: CWR-2102-0009).
DOI: 10.15468/dl.24njkj
title: Occurrence Download

description: A dataset containing 3008 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gastrotheca riobambae"
 ]
}

 The dataset includes 3008 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006089-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17471602
title: Most Critical Factors Responsible for Poor Project Quality Performance in Building Construction Industry (A Case Study of Three Major Cities in Nigeria)

description: Poor quality project delivery is major problems that face the Nigeria construction industry. It’s of high concern to those who are involved in the construction industry. This study was carried out to identify the major causes of poor quality project delivery in Nigeria building construction industry, by means of a literature review and a questionnaire survey. A total of fifty (50) poor quality causative factors were obtained from literature. The questionnaire survey was distributed to randomly selected respondents from a combination of clients, consultants, contractors, site-engineers, project-managers and sub-contractors. In all, one hundred and forty one (141) questionnaires were distributed to randomly selected respondents (clients, consultants, contractors, site-engineers, project-managers and subcontractors), one hundred and thirty two (132) questionnaires were returned out of which three (3) questionnaires were found incomplete and invalid. Only one hundred and twenty nine (129) questionnaires were found consistent and valid for use in this research. Relative Importance Index (RII) and Severity Index were used to carry out ranking analysis. Based on the data received, the most severe factors affecting project quality in Nigeria construction industries are: construction mistakes, use of inexperienced labours, poor checking and inspection, Poor motivation System (incentives), Poor management commitment and leadership styles, Unavailability of good quality construction materials, Limitation of finance and budget, Inadequate timely supervision among others. Their severity ranges from 89.4% to 80.5%.

Cite this article: Dorcas,O.A.B., Elkanah, A.O., & Omolayo, O.J. (2019). Most Critical Factors Responsible For Poor Project Quality Performance in Building Construction Industry (A Case Study of Three Major Cities in Nigeria). European International Journal of Science and Technology, 8(2), 1-14
DOI: 10.5281/zenodo.17471601
title: Most Critical Factors Responsible for Poor Project Quality Performance in Building Construction Industry (A Case Study of Three Major Cities in Nigeria)

description: Poor quality project delivery is major problems that face the Nigeria construction industry. It’s of high concern to those who are involved in the construction industry. This study was carried out to identify the major causes of poor quality project delivery in Nigeria building construction industry, by means of a literature review and a questionnaire survey. A total of fifty (50) poor quality causative factors were obtained from literature. The questionnaire survey was distributed to randomly selected respondents from a combination of clients, consultants, contractors, site-engineers, project-managers and sub-contractors. In all, one hundred and forty one (141) questionnaires were distributed to randomly selected respondents (clients, consultants, contractors, site-engineers, project-managers and subcontractors), one hundred and thirty two (132) questionnaires were returned out of which three (3) questionnaires were found incomplete and invalid. Only one hundred and twenty nine (129) questionnaires were found consistent and valid for use in this research. Relative Importance Index (RII) and Severity Index were used to carry out ranking analysis. Based on the data received, the most severe factors affecting project quality in Nigeria construction industries are: construction mistakes, use of inexperienced labours, poor checking and inspection, Poor motivation System (incentives), Poor management commitment and leadership styles, Unavailability of good quality construction materials, Limitation of finance and budget, Inadequate timely supervision among others. Their severity ranges from 89.4% to 80.5%.

Cite this article: Dorcas,O.A.B., Elkanah, A.O., & Omolayo, O.J. (2019). Most Critical Factors Responsible For Poor Project Quality Performance in Building Construction Industry (A Case Study of Three Major Cities in Nigeria). European International Journal of Science and Technology, 8(2), 1-14
DOI: 10.34740/kaggle/dsv/13540813
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.f4s3u4
title: Occurrence Download

description: A dataset containing 775 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Quercus emoryi"
 ]
}

 The dataset includes 775 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006092-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30477101
title: Atomization classification data

description: 雾化分类图像包括六大类：喷雾角度过小的图像3610张、喷雾角度过大的图像3599张、漏液图像1478张、模糊图像5461张、正常喷雾图像5917张、无喷涂图像4703张
DOI: 10.6084/m9.figshare.30477101.v1
title: Atomization classification data

description: 雾化分类图像包括六大类：喷雾角度过小的图像3610张、喷雾角度过大的图像3599张、漏液图像1478张、模糊图像5461张、正常喷雾图像5917张、无喷涂图像4703张
DOI: 10.5281/zenodo.17471867
title: guvercin+barbot25_InputModel

description: Input file for unicycle including frictional data adapted for the temperature strucutre on the fault.  Temperature structure is provided in .grd format.
DOI: 10.5281/zenodo.17471868
title: guvercin+barbot25_InputModel

description: Input file for unicycle including frictional data adapted for the temperature strucutre on the fault.  Temperature structure is provided in .grd format.
DOI: 10.15468/dl.d65yg3
title: Occurrence Download

description: A dataset containing 4904 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pediculus humanus"
 ]
}

 The dataset includes 4904 records from 91 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006093-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17465425
title: Metagenomes and bile acid profiles in IBD

description: Background: The gut microbiota composition is closely linked to both the pathogenesis of inflammatory bowel disease (IBD) and the response to therapy. Intestinal dysbiosis can alter the host bile acid profile, which regulates immunity via the immunosuppressive bile acid receptor Takeda G protein-coupled receptor 5 (TGR5). This study investigates whether dysbiosis in IBD affects microbial conversion of bile acids and bile acid-induced bioactivity of TGR5. Metagenomic sequencing was performed on fecal samples from 33 patients with Crohn's Disease, 28 patients with ulcerative colitis, and 21 healthy controls. Microbial bile acid pathways were analyzed within the metabolic networks. Bile acid profiles in stool and plasma were measured by mass spectrometry, and TGR5 bioactivity was quantified.

About this Repository: This repository contains the R-based workflow for the project's data analysis. Therefore, it includes R scripts for data analysis and visualization, input data, i.e., bile acid profiles in stool and blood, and metagenome-derived microbiome metrics, such as relative abundances of microorganisms. The repository also contains files for genome-scale metabolic models of representative human gut microbiome genomes. See README.md for more details.
DOI: 10.5281/zenodo.17465424
title: Metagenomes and bile acid profiles in IBD

description: Background: The gut microbiota composition is closely linked to both the pathogenesis of inflammatory bowel disease (IBD) and the response to therapy. Intestinal dysbiosis can alter the host bile acid profile, which regulates immunity via the immunosuppressive bile acid receptor Takeda G protein-coupled receptor 5 (TGR5). This study investigates whether dysbiosis in IBD affects microbial conversion of bile acids and bile acid-induced bioactivity of TGR5. Metagenomic sequencing was performed on fecal samples from 33 patients with Crohn's Disease, 28 patients with ulcerative colitis, and 21 healthy controls. Microbial bile acid pathways were analyzed within the metabolic networks. Bile acid profiles in stool and plasma were measured by mass spectrometry, and TGR5 bioactivity was quantified.

About this Repository: This repository contains the R-based workflow for the project's data analysis. Therefore, it includes R scripts for data analysis and visualization, input data, i.e., bile acid profiles in stool and blood, and metagenome-derived microbiome metrics, such as relative abundances of microorganisms. The repository also contains files for genome-scale metabolic models of representative human gut microbiome genomes. See README.md for more details.
DOI: 10.15468/dl.pzqz7a
title: Occurrence Download

description: A dataset containing 30854 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Magnoliopsida",
 "Country is Zambia",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 30854 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006094-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18150/m05qbl
title: Photochemical C3-amination of pyridines via Zincke imine intermediates

description: Selective skeletal and peripheral editing of the pyridine moiety has broadly expanded the chemical space. While C-H functionalization at C2 and C4 positions are enabled by the inherent reactivity of this heteroarene, selective derivatization at the C3 position has long posed a significant challenge. Recently, based on a dearomatization-rearomatization sequence, involving Zincke imine intermediates, selective halogenation (-Br, -Cl, and -I) and isotopic labelling were accomplished. Here, we report a mild and regioselective method for C3-amination that relies on the photochemical reaction of Zincke imine with an amidyl radical generated from N-aminopyridinium salts. Mechanistic and theoretical studies indicate that radical intermediates are involved and explain the C3 regioselectivity of the reaction.
DOI: 10.34622/datarepositorium/4t7yd5
title: Data on Human Capital and Corporate Governance Information in Spanish Companies

description: Secondary data covered the IBEX35 companies about Human Capital and characteristics of Corporate Governance from 2007 to 2016, collected from the annual social responsibility reports or integrated reports and corporate governance reports of the companies.
DOI: 10.18150/mu7dly
title: Methylhydrazinium Lead Halide Perovskites: Effect of Composition and Dimensionality on Their Optoelectronic and Photodetection Properties

description: This data set describes the effect of methylhydrazinium cation on the photodetection properties of resulting single crystals. The data set contains structural and optical characteristics. Single crystals were used for the fabrication of planar type photodetector and the subsequent data set contains electrical properties, current−time, photocurrent density, responsivity, specific detectivity and external quantum efficiency as a function of irradiation intensity.
DOI: 10.15468/dl.59sjfj
title: Occurrence Download

description: A dataset containing 23083732 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((-9.5 36.961,-6.189 36.961,-6.189 42.154,-9.5 42.154,-9.5 36.961))"
 ]
}

 The dataset includes 23083732 records from 1183 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055687-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14591319
title: Evolution of Principal Slip Zone in Sheared Granular Fault

description: The original data for paper titled "Evolution of Principal Slip Zone in Sheared Granular Fault".
DOI: 10.5281/zenodo.14591320
title: Evolution of Principal Slip Zone in Sheared Granular Fault

description: The original data for paper titled "Evolution of Principal Slip Zone in Sheared Granular Fault".
DOI: 10.15468/dl.zphkat
title: Occurrence Download

description: A dataset containing 17199 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-6.34362 36.78408,-6.42228 36.62885,-6.12579 36.21989,-5.47838 36.00482,-5.26055 36.31259,-5.44812 36.84705,-5.87772 37.13702,-6.34362 36.78408))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 17199 records from 106 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055719-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nczr2k
title: Occurrence Download

description: A dataset containing 173 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((45.43833 45.93287,76.90139 45.93287,76.90139 58.2145,45.43833 58.2145,45.43833 45.93287))",
 "OccurrenceStatus is Present",
 "TaxonKey is Juniperus sabina L.",
 "Year 2000-2025"
 ]
}

 The dataset includes 173 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055720-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28120586
title: Data Excel sheet

description: Background: The human ear is unique to individuals and ear prints, like fingerprints, are discrete enough to distinguish even identical twins. So, external ear can be used to identify both living and deceased individuals. So, this study was conducted to evaluate stature and sexual dimorphism of the external ear using various morphometric parameters and morphological features for forensic identification.Methods: Study was conducted with 40 participants. Various measurements were taken, and morphological features of both right and left ear were noted. Later the results were analyzed statistically.Results: In males and females most, common shape was oval, and ear lobe was free. Most common shape of ear lobe in males was arched and in females was triangular. In males and females most common form of helix was concave marginal. In males most common shape of tragus was round while in females it was long. In males and females most common shape of Darwin’s tubercle was enlarged. It was seen that the right lobe width showed perfect separation, indicating its potential as an extremely reliable predictor. It was noted that in females the strongest correlation with height is with the ear inclination angle of both sides.Conclusion: The results of this study can help the forensic anthropologist in identifying the sex and stature of a person from various ear measurements.