cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29212966
title: Jian’er Qiangshen ointment treating bronchial asthma by inhibiting lung inflammation and regulating intestinal microbiota

description: To investigate the ameliorative effects and mechanisms of Jian’er Qiangshen (JEQS) ointment on asthma. Twenty-four BALB/c mice were randomly and equally divided into four groups: blank control, ovalbumin (OVA), OVA + dexamethasone (DXMS), and OVA + JEQS. Lung tissue sections were isolated for H&E and Masson staining, and inflammatory factor levels were measured. Ultra-high performance liquid chromatography–time-of-flight mass spectrometry (UHPLC–TOF-MS) was employed to analyze and identify blood components in mice following intragastric administration of JEQS extract. Network pharmacology analysis was subsequently utilized to predict the pharmacological targets and mechanisms of JEQS in asthma treatment. 16S rRNA sequencing was conducted to determine bacterial community composition and diversity. Animal experiments indicated that compared to the OVA group, the OVA + drug groups (DXMS and JEQS) exhibited milder asthma symptoms and significantly improved pathological changes. JEQS significantly reduced IFN-γ, IL-4, IL-5, and IL-13 levels in lung tissue. Through network pharmacology and 16S rRNA sequencing, JEQS ointment was found to alleviate asthma-related inflammatory responses and improve asthma symptoms via multi-target mechanisms and modulation of intestinal microbiota. Network pharmacology revealed 28 effective components in JEQS for asthma treatment, with α-linolenic acid, 9-oxononanoic acid, inosine, linoleic acid, and amygdalin as primary active constituents. One hundred core targets were identified, including AKT1, IL-6, ALB, TNF, and MAPK3. 16S rRNA sequencing demonstrated increased proportions of Proteobacteria and Actinobacteria following JEQS treatment. Probiotics such as Clostridium, Escherichia, Bacteroides, and Candidatus Saccharimonas became dominant microbiota.
DOI: 10.6084/m9.figshare.29212966.v1
title: Jian’er Qiangshen ointment treating bronchial asthma by inhibiting lung inflammation and regulating intestinal microbiota

description: To investigate the ameliorative effects and mechanisms of Jian’er Qiangshen (JEQS) ointment on asthma. Twenty-four BALB/c mice were randomly and equally divided into four groups: blank control, ovalbumin (OVA), OVA + dexamethasone (DXMS), and OVA + JEQS. Lung tissue sections were isolated for H&E and Masson staining, and inflammatory factor levels were measured. Ultra-high performance liquid chromatography–time-of-flight mass spectrometry (UHPLC–TOF-MS) was employed to analyze and identify blood components in mice following intragastric administration of JEQS extract. Network pharmacology analysis was subsequently utilized to predict the pharmacological targets and mechanisms of JEQS in asthma treatment. 16S rRNA sequencing was conducted to determine bacterial community composition and diversity. Animal experiments indicated that compared to the OVA group, the OVA + drug groups (DXMS and JEQS) exhibited milder asthma symptoms and significantly improved pathological changes. JEQS significantly reduced IFN-γ, IL-4, IL-5, and IL-13 levels in lung tissue. Through network pharmacology and 16S rRNA sequencing, JEQS ointment was found to alleviate asthma-related inflammatory responses and improve asthma symptoms via multi-target mechanisms and modulation of intestinal microbiota. Network pharmacology revealed 28 effective components in JEQS for asthma treatment, with α-linolenic acid, 9-oxononanoic acid, inosine, linoleic acid, and amygdalin as primary active constituents. One hundred core targets were identified, including AKT1, IL-6, ALB, TNF, and MAPK3. 16S rRNA sequencing demonstrated increased proportions of Proteobacteria and Actinobacteria following JEQS treatment. Probiotics such as Clostridium, Escherichia, Bacteroides, and Candidatus Saccharimonas became dominant microbiota.
DOI: 10.6084/m9.figshare.28906661
title: Linking anemia to asthma: maternal, childhood and adult perspectives from a meta-analysis of 20 studies

description: Anemia has been implicated as a potential risk factor for asthma across different life stages, yet evidence remains inconsistent. This meta-analysis (CRD420251008733) aimed to evaluate the associations between maternal anemia and offspring asthma, childhood anemia and asthma, and adult anemia and asthma. We searched PubMed, Embase, Web of Science, and Cochrane Library, identifying 20 observational studies. Study quality was assessed using the Newcastle-Ottawa Scale (NOS) and Agency for Healthcare Research and Quality (AHRQ) checklist. Heterogeneity, sensitivity, and publication bias were explored through subgroup analyses, sensitivity tests, and Egger’s test. Meta-analysis performed using Stata 17. Twenty studies involving over 4499364 participants were included. The results showed pooled OR for the association between anemia and asthma (OR = 1.55, 95% CI: 1.36–1.77). Maternal anemia during pregnancy was associated with a modest increase in offspring asthma risk (OR = 1.19, 95% CI: 1.02–1.38), adult anemia was also linked to asthma (OR = 1.94, 95% CI: 1.14–3.30). Childhood anemia showed a stronger association with asthma (OR = 2.22, 95% CI: 1.65–2.99), though Egger’s test (<i>p</i> = 0.041) suggested publication bias, with an adjusted OR of 2.03 (95% CI: 1.51–2.74). Anemia is significantly associated with an increased risk of asthma, particularly in children. These findings suggest a potential role for anemia screening in asthma management.
DOI: 10.6084/m9.figshare.28906661.v1
title: Linking anemia to asthma: maternal, childhood and adult perspectives from a meta-analysis of 20 studies

description: Anemia has been implicated as a potential risk factor for asthma across different life stages, yet evidence remains inconsistent. This meta-analysis (CRD420251008733) aimed to evaluate the associations between maternal anemia and offspring asthma, childhood anemia and asthma, and adult anemia and asthma. We searched PubMed, Embase, Web of Science, and Cochrane Library, identifying 20 observational studies. Study quality was assessed using the Newcastle-Ottawa Scale (NOS) and Agency for Healthcare Research and Quality (AHRQ) checklist. Heterogeneity, sensitivity, and publication bias were explored through subgroup analyses, sensitivity tests, and Egger’s test. Meta-analysis performed using Stata 17. Twenty studies involving over 4499364 participants were included. The results showed pooled OR for the association between anemia and asthma (OR = 1.55, 95% CI: 1.36–1.77). Maternal anemia during pregnancy was associated with a modest increase in offspring asthma risk (OR = 1.19, 95% CI: 1.02–1.38), adult anemia was also linked to asthma (OR = 1.94, 95% CI: 1.14–3.30). Childhood anemia showed a stronger association with asthma (OR = 2.22, 95% CI: 1.65–2.99), though Egger’s test (<i>p</i> = 0.041) suggested publication bias, with an adjusted OR of 2.03 (95% CI: 1.51–2.74). Anemia is significantly associated with an increased risk of asthma, particularly in children. These findings suggest a potential role for anemia screening in asthma management.
DOI: 10.6084/m9.figshare.29181205
title: Association of the 2020 Healthy Eating Index with asthma in children and adolescents in the United States: a cross-sectional study of NHANES

description: Our goal was to investigate the connection between asthma and HEI-2020. A cross-sectional study was conducted using data from the National Health and Nutrition Examination Survey (NHANES) from 2005 to 2020. Diet quality was measured as HEI-2020 scores using 24-h and 2-day dietary recall data. A range of statistical methods, including as sensitivity analysis, restricted triple spline analysis, subgroup analysis, and multivariate logistic regression, were used to assess the relationship between the HEI-2020 and asthma. 2,740 (17.5%) of the 15,667 said a doctor or other health care provider had diagnosed them with asthma. The lower a child or adolescent’s risk of developing asthma, after adjusting for pertinent factors, the higher the overall HEI-2020 score. The adjusted odds ratios (OR) for asthma in the second (Tertiles 2, 42.92–&lt;51.9) and third (Tertiles 3, 42.92–51.9) groups were 0.93 (0.84–1.03) and 0.83 (0.73–0.94), respectively, in comparison to the group with the lowest HEI-2020 values (Tertiles 1, 18.35–&lt;42.92). The results’ resilience was further validated using stratified and sensitivity analyses. Asthma risk may also be decreased by eating less sodium and added sweets and more total fruits, whole fruits, seafood and plant proteins. There is a negative correlation between asthma and the Healthy Eating Index-2020 in children and adolescents in the United States.
DOI: 10.6084/m9.figshare.29181205.v2
title: Association of the 2020 Healthy Eating Index with asthma in children and adolescents in the United States: a cross-sectional study of NHANES

description: Our goal was to investigate the connection between asthma and HEI-2020. A cross-sectional study was conducted using data from the National Health and Nutrition Examination Survey (NHANES) from 2005 to 2020. Diet quality was measured as HEI-2020 scores using 24-h and 2-day dietary recall data. A range of statistical methods, including as sensitivity analysis, restricted triple spline analysis, subgroup analysis, and multivariate logistic regression, were used to assess the relationship between the HEI-2020 and asthma. 2,740 (17.5%) of the 15,667 said a doctor or other health care provider had diagnosed them with asthma. The lower a child or adolescent’s risk of developing asthma, after adjusting for pertinent factors, the higher the overall HEI-2020 score. The adjusted odds ratios (OR) for asthma in the second (Tertiles 2, 42.92–&lt;51.9) and third (Tertiles 3, 42.92–51.9) groups were 0.93 (0.84–1.03) and 0.83 (0.73–0.94), respectively, in comparison to the group with the lowest HEI-2020 values (Tertiles 1, 18.35–&lt;42.92). The results’ resilience was further validated using stratified and sensitivity analyses. Asthma risk may also be decreased by eating less sodium and added sweets and more total fruits, whole fruits, seafood and plant proteins. There is a negative correlation between asthma and the Healthy Eating Index-2020 in children and adolescents in the United States.
DOI: 10.6084/m9.figshare.29181205.v1
title: Association of the 2020 Healthy Eating Index with Asthma in Children and Adolescents in the United States: A Cross-Sectional Study of NHANES

description: Our goal was to investigate the connection between asthma and HEI-2020. A cross-sectional study was conducted using data from the National Health and Nutrition Examination Survey (NHANES) from 2005 to 2020. Diet quality was measured as HEI-2020 scores using 24-hour and 2-day dietary recall data. A range of statistical methods, including as sensitivity analysis, restricted triple spline analysis, subgroup analysis, and multivariate logistic regression, were used to assess the relationship between the HEI-2020 and asthma. 2,740 (17.5%) of the 15,667 said a doctor or other health care provider had diagnosed them with asthma. The lower a child or adolescent's risk of developing asthma, after adjusting for pertinent factors, the higher the overall HEI-2020 score. The adjusted odds ratios (OR) for asthma in the second (Tertiles 2, 42.92-&lt;51.9) and third (Tertiles 3, 42.92-51.9) groups were 0.93 (0.84-1.03) and 0.83 (0.73-0.94), respectively, in comparison to the group with the lowest HEI-2020 values (Tertiles 1, 18.35-&lt;42.92). The results' resilience was further validated using stratified and sensitivity analyses. Asthma risk may also be decreased by eating less sodium and added sweets and more total fruits, whole fruits, seafood and plant proteins. There is a negative correlation between asthma and the Healthy Eating Index-2020 in children and adolescents in the United States.
DOI: 10.6084/m9.figshare.29469082
title: Dynamic Conditional Correlations with Partial Information Pooling

description: We propose a novel Dynamic Conditional Correlation model with Conditional Linear Information Pooling (CLIP-DCC) which endogenously determines an optimal degree of commonality in the correlation innovations. Effectively, this allows a part of the update of each individual correlation to parsimoniously depend on the information contained in all asset return pairs. In contrast to existing approaches, such as the Dynamic EquiCOrrelation (DECO) model, the CLIP-DCC model does not restrict long-run behavior, thereby naturally complementing target correlation matrix shrinkage approaches. Empirical findings suggest substantial benefits for a minimum-variance investor in real-time. Combining the CLIP-DCC model with target shrinkage yields additive improvements, confirming that they address distinct parts of uncertainty of the conditional correlation matrix.
DOI: 10.6084/m9.figshare.29469082.v1
title: Dynamic Conditional Correlations with Partial Information Pooling

description: We propose a novel Dynamic Conditional Correlation model with Conditional Linear Information Pooling (CLIP-DCC) which endogenously determines an optimal degree of commonality in the correlation innovations. Effectively, this allows a part of the update of each individual correlation to parsimoniously depend on the information contained in all asset return pairs. In contrast to existing approaches, such as the Dynamic EquiCOrrelation (DECO) model, the CLIP-DCC model does not restrict long-run behavior, thereby naturally complementing target correlation matrix shrinkage approaches. Empirical findings suggest substantial benefits for a minimum-variance investor in real-time. Combining the CLIP-DCC model with target shrinkage yields additive improvements, confirming that they address distinct parts of uncertainty of the conditional correlation matrix.
DOI: 10.5281/zenodo.16920049
title: Optimization of Electrical and Structural Parameters in Silicon Solar Cells Using a PC1D Simulation

description: This dataset contains input parameters, simulation output, and representative results generated using PC1D simulation software (version 6.2). Simulation studies the effect of base resistance, doping concentrations of emitters and back-slit surface fields (BSFs) and the lifetime of a large amount of carriers on the performance of n–p–p+ silicon monocrystalline solar cells. Data include CSV files of efficiency trends, I–V characteristics and doping changes under standard testing conditions (AM1.5G spectrum, 0.1 W/cm2 radiation, 25°C). The data set supports the paper "Optimization of electrical and structural parameters in silicon solar cells using PC1D simulation".
DOI: 10.5281/zenodo.16920050
title: Optimization of Electrical and Structural Parameters in Silicon Solar Cells Using a PC1D Simulation

description: This dataset contains input parameters, simulation output, and representative results generated using PC1D simulation software (version 6.2). Simulation studies the effect of base resistance, doping concentrations of emitters and back-slit surface fields (BSFs) and the lifetime of a large amount of carriers on the performance of n–p–p+ silicon monocrystalline solar cells. Data include CSV files of efficiency trends, I–V characteristics and doping changes under standard testing conditions (AM1.5G spectrum, 0.1 W/cm2 radiation, 25°C). The data set supports the paper "Optimization of electrical and structural parameters in silicon solar cells using PC1D simulation".
DOI: 10.15468/dl.vjh5bg
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((105.39498 -5.33365,105.94048 -5.33365,105.94048 -4.75121,105.39498 -4.75121,105.39498 -5.33365))",
 "OccurrenceStatus is Present",
 "TaxonKey is Elephas maximus sumatranus"
 ]
}

 The dataset includes 10 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028894-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z8wpph
title: Occurrence Download

description: A dataset containing 25550 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Meetnetten.be - Bat winter roosts counts (totals per site) Flanders, Belgium"
 ]
}

 The dataset includes 25550 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028895-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16921211
title: Prebiotic Chemistry Insights for Dragonfly: Thermodynamics of amino acid synthesis in Selk-sized craters on Titan

description: This archive contains the data, code, and workflow materials supporting the manuscript “Prebiotic Chemistry Insights for Dragonfly: Thermodynamics of amino acid synthesis in Selk-sized craters on Titan” (Madan et al.). Contents include Jupyter notebooks for Gibbs free energy estimation, polynomial fitting, and Cantera equilibrium modeling; YAML input templates and examples; Gibbs energy datasets; and a step-by-step workflow PDF. These resources are intended to ensure transparency, reproducibility, and accessibility for reviewers, students, and researchers interested in prebiotic chemistry and Titan’s astrobiological potential.
DOI: 10.15468/dl.gutu4q
title: Occurrence Download

description: A dataset containing 1192 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Meetnetten.be - Chorus counts for Amphibia in Flanders, Belgium"
 ]
}

 The dataset includes 1192 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028896-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x6mxu7
title: Occurrence Download

description: A dataset containing 838947 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Geometry POLYGON((-109.80297 26.78704,-107.35098 25.57152,-107.49768 31.81675,-108.25214 31.80627,-108.23118 31.38713,-108.39884 31.37665,-108.49315 31.36617,-108.5665 31.35569,-108.8599 31.36617,-110.09637 31.35569,-109.76105 28.35882,-109.80297 26.78704))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 838947 records from 764 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028841-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6phg56
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Etheostoma cervus)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 40 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028897-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e66jg6
title: Occurrence Download

description: A dataset containing 53450 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salvelinus fontinalis",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 53450 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028867-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4vcata
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Casuarina glauca",
 "Country is Saint Vincent and the Grenadines",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028899-250811113504898/datasets/export for details.
DOI: 10.25574/24814
title: Chandra X-ray Observatory ObsId 24814

description: Understanding the Dynamical State of Fossil Groups
DOI: 10.25574/25544
title: Chandra X-ray Observatory ObsId 25544

description: A Systematic Survey of Extreme X-ray Variability of Weak-Line Quasars
DOI: 10.15468/dl.dam2j6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Casuarina glauca",
 "Country is Peru",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028898-250811113504898/datasets/export for details.
DOI: 10.15468/dl.vm6c86
title: Occurrence Download

description: A dataset containing 116872 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Meetnetten.be - Bat winter roosts counts (per individual) Flanders, Belgium"
 ]
}

 The dataset includes 116872 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028887-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pp7f72
title: Occurrence Download

description: A dataset containing 1697 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Meetnetten.be - Exuviae counts for dragonflies in Flanders, Belgium"
 ]
}

 The dataset includes 1697 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028902-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.45gwc4
title: Occurrence Download

description: A dataset containing 21299 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Meetnetten.be - Egg counts for butterflies in Flanders, Belgium"
 ]
}

 The dataset includes 21299 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028900-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26036/cnp0001359
title: Single cell atlas of breast cancer bone metastasis

description: Single cell resolution of breast cancer bone metastasis microenvironment
DOI: 10.5281/zenodo.15480769
title: Inferring Material Parameters from Current-Voltage Curves in Organic Solar Cells via Neural-Network-Based Surrogate Models

description: The detailed figures used in the submitted paper "Inferring Material Parameters from Current-Voltage Curves in Organic Solar Cells via Neural-Network-Based Surrogate Models" at can be found at the pptx file.

Furthermore, the relevant codes for Bayesian parameter inference can be found at Github respository and the example dataset can be downloaded here.
DOI: 10.5281/zenodo.16572021
title: Inferring Material Parameters from Current-Voltage Curves in Organic Solar Cells via Neural-Network-Based Surrogate Models

description: The detailed figures used in the submitted paper "Inferring Material Parameters from Current-Voltage Curves in Organic Solar Cells via Neural-Network-Based Surrogate Models" at can be found at the pptx file.

Furthermore, the relevant codes for Bayesian parameter inference can be found at Github respository and the example dataset can be downloaded here.