cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.27960587
title: Evaluation of the Arabic version of the Asthma Trigger Inventory among asthmatic pediatric patients in Saudi Arabia

description: Asthma Trigger Inventory (ATI) is available in English, German, and Spanish languages; however, a version in Arabic language specifically tailored for identifying asthma triggers within Saudi Arabia has been missing. To assess the reliability and validity of the adapted Arabic ATI among parents of asthmatic children in Saudi Arabia. A cross-cultural adaptation of the ATI was conducted, adding seven region-specific triggers to reflect cultural and environmental factors. The Pediatric Asthma Quality of Life Questionnaire (PACQLQ) was used to assess quality of life. Construct validity of the Arabic ATI was evaluated <i>via</i> exploratory factor analysis (EFA), and reliability was measured with Cronbach’s alpha. EFA yielded a KMO of 0.634 and a significant Bartlett’s Test (χ<sup>2</sup> = 10,005.076, <i>p</i> &lt; 0.001). Six trigger subscales showed high reliability (α &gt; 0.90), though Middle Eastern triggers had lower internal consistency (α = −0.11). Physical and psychological triggers correlated significantly with poorer quality of life (exercise: <i>r</i> = −0.662, <i>p</i> &lt; 0.001; psychological: <i>r</i> = −0.307, <i>p</i> &lt; 0.001). Air pollution and Middle Eastern triggers correlated positively with quality of life (<i>r</i> = 0.222, <i>p</i> &lt; 0.001 and <i>r</i> = 0.245, <i>p</i> &lt; 0.001). The Arabic version of the ATI exhibited robust reliability and validity when administered to parents of asthmatic children in Saudi Arabia. Additional research is warranted to further validate its applicability across various Arabic-speaking populations.
DOI: 10.6084/m9.figshare.27960587.v1
title: Evaluation of the Arabic version of the Asthma Trigger Inventory among asthmatic pediatric patients in Saudi Arabia

description: Asthma Trigger Inventory (ATI) is available in English, German, and Spanish languages; however, a version in Arabic language specifically tailored for identifying asthma triggers within Saudi Arabia has been missing. To assess the reliability and validity of the adapted Arabic ATI among parents of asthmatic children in Saudi Arabia. A cross-cultural adaptation of the ATI was conducted, adding seven region-specific triggers to reflect cultural and environmental factors. The Pediatric Asthma Quality of Life Questionnaire (PACQLQ) was used to assess quality of life. Construct validity of the Arabic ATI was evaluated <i>via</i> exploratory factor analysis (EFA), and reliability was measured with Cronbach’s alpha. EFA yielded a KMO of 0.634 and a significant Bartlett’s Test (χ<sup>2</sup> = 10,005.076, <i>p</i> &lt; 0.001). Six trigger subscales showed high reliability (α &gt; 0.90), though Middle Eastern triggers had lower internal consistency (α = −0.11). Physical and psychological triggers correlated significantly with poorer quality of life (exercise: <i>r</i> = −0.662, <i>p</i> &lt; 0.001; psychological: <i>r</i> = −0.307, <i>p</i> &lt; 0.001). Air pollution and Middle Eastern triggers correlated positively with quality of life (<i>r</i> = 0.222, <i>p</i> &lt; 0.001 and <i>r</i> = 0.245, <i>p</i> &lt; 0.001). The Arabic version of the ATI exhibited robust reliability and validity when administered to parents of asthmatic children in Saudi Arabia. Additional research is warranted to further validate its applicability across various Arabic-speaking populations.
DOI: 10.6084/m9.figshare.27620287
title: Causal association between allergic diseases and celiac disease: a bidirectional two-sample and multivariable Mendelian-randomization study

description: This study aimed to assess the causality of allergic diseases and celiac disease. We collected summary-level data from publicly available genome-wide association studies to conduct our bidirectional two-sample and multivariable Mendelian randomization analysis. Furthermore, a series of sensitivity analyses were applied to validate our findings. In bidirectional two-sample MR analyses, we found a significant causal effect of atopic dermatitis (AD) on CD (Inverse-variance weighted (IVW): odds ratio [OR] = 1.302, 95% confidence interval [CI] = 1.152–1.471, <i>p</i> &lt; 0.001). We also found a significant causal effect of allergic rhinitis (AR) on CD (IVW: OR = 4.181, 95% CI = 1.495–11.697, <i>p</i> = 0.006). However, the MR-Egger method indicated a different causal effect direction compared to the IVW and weighted median method. After Bonferroni correction, the result of asthma on CD is suggestive of a causal effect (IVW: OR = 1.186, 95% CI = 1.021–1.378, <i>p</i> = 0.026). No causal effects were found when CD was considered as an exposure variable. In MVMR analyses, after separately and jointly adjusting for the influence of smoking and BMI, the causal effect of AD on CD remained robust. Our study suggests that AD is a risk factor for CD and it is considered suggestive of a causal relationship between asthma and CD. Further research is needed to explore the potential mechanisms underlying this causal effect.
DOI: 10.6084/m9.figshare.27620287.v2
title: Causal association between allergic diseases and celiac disease: a bidirectional two-sample and multivariable Mendelian-randomization study

description: This study aimed to assess the causality of allergic diseases and celiac disease. We collected summary-level data from publicly available genome-wide association studies to conduct our bidirectional two-sample and multivariable Mendelian randomization analysis. Furthermore, a series of sensitivity analyses were applied to validate our findings. In bidirectional two-sample MR analyses, we found a significant causal effect of atopic dermatitis (AD) on CD (Inverse-variance weighted (IVW): odds ratio [OR] = 1.302, 95% confidence interval [CI] = 1.152–1.471, <i>p</i> &lt; 0.001). We also found a significant causal effect of allergic rhinitis (AR) on CD (IVW: OR = 4.181, 95% CI = 1.495–11.697, <i>p</i> = 0.006). However, the MR-Egger method indicated a different causal effect direction compared to the IVW and weighted median method. After Bonferroni correction, the result of asthma on CD is suggestive of a causal effect (IVW: OR = 1.186, 95% CI = 1.021–1.378, <i>p</i> = 0.026). No causal effects were found when CD was considered as an exposure variable. In MVMR analyses, after separately and jointly adjusting for the influence of smoking and BMI, the causal effect of AD on CD remained robust. Our study suggests that AD is a risk factor for CD and it is considered suggestive of a causal relationship between asthma and CD. Further research is needed to explore the potential mechanisms underlying this causal effect.
DOI: 10.6084/m9.figshare.27940242.v1
title: Neuroticism and Asthma: Mendelian Randomization Analysis Reveals Causal Link with Mood Swings and BMI Mediation

description: Neuroticism has been associated with asthma, but the nature of this relationship remains unclear due to limited understanding of the impact of psychological factors on asthma risk. While Neuroticism is known to affect various health outcomes, its specific role in respiratory conditions like asthma is not fully understood. We conducted Mendelian randomization (MR) analyses using genome-wide association studies (GWAS) to explore the causal link between 12 Neuroticism traits and asthma. Various MR approaches, including MR-PRESSO, were employed, with validation through independent GWAS and the FinnGen dataset. MR-PRESSO revealed a significant causal relationship between mood swings and asthma (OR: 1.927, 95% CI: 1.641–2.263), surpassing the Bonferroni-corrected threshold (p &lt; 4.167 × 10<sup>-</sup>³). Mood swings emerged as the only significant trait associated with asthma, with reverse MR analyses showing no causal links for other traits. Secondary analyses supported these findings. Multivariate analysis showed mood swings increased asthma risk, independent of smoking, BMI, and air pollution. Mediation analysis indicated that BMI partially mediates the mood swing-asthma relationship, accounting for 9.87% of the effect (95% CI: 4.54%–15.2%, p = 2.850 × 10<sup>−4</sup>). Mood swings elevate asthma risk, with BMI partially mediating this effect, highlighting a potentially significant pathway through which psychological traits influence asthma.
DOI: 10.6084/m9.figshare.27620287.v1
title: Causal association between allergic diseases and celiac disease: a bidirectional two-sample and multivariable Mendelian-randomization study

description: This study aimed to assess the causality of allergic diseases and celiac disease. We collected summary-level data from publicly available genome-wide association studies to conduct our bidirectional two-sample and multivariable Mendelian randomization analysis. Furthermore, a series of sensitivity analyses were applied to validate our findings. In bidirectional two-sample MR analyses, we found a significant causal effect of atopic dermatitis (AD) on CD (Inverse-variance weighted (IVW): odds ratio [OR] = 1.302, 95% confidence interval [CI] = 1.152-1.471, P &lt; 0.001). We also found a significant causal effect of allergic rhinitis (AR) on CD (IVW: OR = 4.181, 95% CI = 1.495-11.697, P = 0.006). However, the MR-Egger method indicated a different causal effect direction compared to the IVW and weighted median method. After Bonferroni correction, the result of asthma on CD is suggestive of a causal effect (IVW: OR = 1.186, 95% CI = 1.021-1.378, P = 0.026). No causal effects were found when CD was considered as an exposure variable. In MVMR analyses, after separately and jointly adjusting for the influence of smoking and BMI, the causal effect of AD on CD remained robust. Our study suggests that AD is a risk factor for CD and it is considered suggestive of a causal relationship between asthma and CD. Further research is needed to explore the potential mechanisms underlying this causal effect.
DOI: 10.6084/m9.figshare.28009065
title: Construction and validation of an immune gene-based model for diagnosis and risk prediction of severe asthma

description: Severe asthma (SA) is a serious disease with limited treatment options, which is closely linked to immune dysfunction. Therefore, immune-associated biomarkers may diagnose SA and offer therapeutic targets for SA. The gene expression profiles of SA patients and matched controls were from the National Center for Biotechnology Information database. Immune genes were downloaded from the ImmPort database. After screening for differentially expressed genes (DEGs) between SA patients and controls, and identifying gene modules highly associated with SA, immune-related DEGs were obtained. Then, protein-protein interaction analysis, Cytoscape software and receiver operating characteristic (ROC) curves were used to identify hub genes. Next, the relationship between hub genes and immune cells was explored, and single-sample gene set enrichment analysis (ssGSEA) was applied to conduct pathway enrichment analyses. Finally, the Least Absolute Shrinkage and Selection Operator (LASSO) combined with ROC analysis were used to confirm the diagnostic value of the hub genes. Forty immune-related DEGs were obtained, and <i>RNASE3</i>, <i>CAMP</i> and <i>LTF</i> were determined as hub genes. The hub genes were closely associated with immune cells, and ssGSEA showed that lysosome was associated with high expressions of the hub genes, while primary immunodeficiency was related to low expressions of the hub genes. LASSO combined with ROC analysis confirmed the immune gene-based model (<i>RNASE3</i>, <i>CAMP</i>, <i>LTF</i>, and <i>CD79A</i>) could distinguish SA patients from healthy individuals with high sensitivity. <i>RNASE3</i>, <i>CAMP</i>, <i>LTF</i>, and <i>CD79A</i> could act as diagnostic markers for SA, providing a theoretical basis for developing diagnostic targets for SA.
DOI: 10.6084/m9.figshare.28009065.v1
title: Construction and validation of an immune gene-based model for diagnosis and risk prediction of severe asthma

description: Severe asthma (SA) is a serious disease with limited treatment options, which is closely linked to immune dysfunction. Therefore, immune-associated biomarkers may diagnose SA and offer therapeutic targets for SA. The gene expression profiles of SA patients and matched controls were from the National Center for Biotechnology Information database. Immune genes were downloaded from the ImmPort database. After screening for differentially expressed genes (DEGs) between SA patients and controls, and identifying gene modules highly associated with SA, immune-related DEGs were obtained. Then, protein-protein interaction analysis, Cytoscape software and receiver operating characteristic (ROC) curves were used to identify hub genes. Next, the relationship between hub genes and immune cells was explored, and single-sample gene set enrichment analysis (ssGSEA) was applied to conduct pathway enrichment analyses. Finally, the Least Absolute Shrinkage and Selection Operator (LASSO) combined with ROC analysis were used to confirm the diagnostic value of the hub genes. Forty immune-related DEGs were obtained, and <i>RNASE3</i>, <i>CAMP</i> and <i>LTF</i> were determined as hub genes. The hub genes were closely associated with immune cells, and ssGSEA showed that lysosome was associated with high expressions of the hub genes, while primary immunodeficiency was related to low expressions of the hub genes. LASSO combined with ROC analysis confirmed the immune gene-based model (<i>RNASE3</i>, <i>CAMP</i>, <i>LTF</i>, and <i>CD79A</i>) could distinguish SA patients from healthy individuals with high sensitivity. <i>RNASE3</i>, <i>CAMP</i>, <i>LTF</i>, and <i>CD79A</i> could act as diagnostic markers for SA, providing a theoretical basis for developing diagnostic targets for SA.
DOI: 10.6084/m9.figshare.28063259
title: Positive association between dietary total sugar intake and eosinophil counts in asthmatic children and adolescents in the United States: a cross-sectional study

description: There is not enough data currently available to determine a correlation between eosinophil count and total sugar intake in the diet. To clarify the relationship between eosinophil levels and overall sugar intake in the diet. A cross-sectional study that involved 2013 people used data from the National Health and Nutrition Examination Survey (NHANES) from 2011 to 2020. The relationship between total sugar intake and eosinophil count was investigated using multiple linear regression models. The linear relationship between the two was tested using a restricted cubic spline. Stratified analysis further confirms the stability of the findings. With a mean age of 11.6 ± 4.8 years and 56.5% male participation, all 2013 eligible participants were included. The fully adjusted model indicated a positive correlation between total dietary sugar intake and eosinophil counts (β = 0.41; 95% CI: 0.15 to 0.68; <i>p</i> = 0.002), as determined by multivariable linear regression adjusted for risk variables. A multiple regression model using three quartiles of the total amount of sugar consumed did not change the significance of this outcome. Moreover, by limiting the triple spline, a linear relationship (<i>p</i> = 0.089) was discovered between the overall amount of sugar consumed and the eosinophil count. Subgroup analysis revealed an identical pattern of connection (p-values for all interactions were larger than 0.05). In U.S. children and adolescents with asthma, total dietary sugar intake was positively correlated with eosinophil levels. The findings are significant.
DOI: 10.6084/m9.figshare.28063259.v1
title: Positive association between dietary total sugar intake and eosinophil counts in asthmatic children and adolescents in the United States: a cross-sectional study

description: There is not enough data currently available to determine a correlation between eosinophil count and total sugar intake in the diet. To clarify the relationship between eosinophil levels and overall sugar intake in the diet. A cross-sectional study that involved 2013 people used data from the National Health and Nutrition Examination Survey (NHANES) from 2011 to 2020. The relationship between total sugar intake and eosinophil count was investigated using multiple linear regression models. The linear relationship between the two was tested using a restricted cubic spline. Stratified analysis further confirms the stability of the findings. With a mean age of 11.6 ± 4.8 years and 56.5% male participation, all 2013 eligible participants were included. The fully adjusted model indicated a positive correlation between total dietary sugar intake and eosinophil counts (β = 0.41; 95% CI: 0.15 to 0.68; <i>p</i> = 0.002), as determined by multivariable linear regression adjusted for risk variables. A multiple regression model using three quartiles of the total amount of sugar consumed did not change the significance of this outcome. Moreover, by limiting the triple spline, a linear relationship (<i>p</i> = 0.089) was discovered between the overall amount of sugar consumed and the eosinophil count. Subgroup analysis revealed an identical pattern of connection (p-values for all interactions were larger than 0.05). In U.S. children and adolescents with asthma, total dietary sugar intake was positively correlated with eosinophil levels. The findings are significant.
DOI: 10.5517/ccdc.csd.cc26xltk
title: CCDC 2053279: Experimental Crystal Structure Determination

description: Related Article: Naohiro Hasuo, Kiyonori Takahashi, Ichiro Hisaki, Kenta Kokado, Takayoshi Nakamura|2021|CrystEngComm|23|2756|doi:10.1039/D1CE00253H
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc26xlvl
title: CCDC 2053280: Experimental Crystal Structure Determination

description: Related Article: Naohiro Hasuo, Kiyonori Takahashi, Ichiro Hisaki, Kenta Kokado, Takayoshi Nakamura|2021|CrystEngComm|23|2756|doi:10.1039/D1CE00253H
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.15054677
title: IODP Expedition 395 Magnetic remanence (SRM-longcore)

description: Magnetic remanence was measured on section halves (and rarely on whole-round sections) using a 2G Enterprises 760R cryogenic magnetometer, first as natural remanent magnetization (NRM) and then after demagnetization steps were performed on the samples by alternating field (AF) demagnetizer coils mounted in-line within the instrument.
DOI: 10.5281/zenodo.15054678
title: IODP Expedition 395 Magnetic remanence (SRM-longcore)

description: Magnetic remanence was measured on section halves (and rarely on whole-round sections) using a 2G Enterprises 760R cryogenic magnetometer, first as natural remanent magnetization (NRM) and then after demagnetization steps were performed on the samples by alternating field (AF) demagnetizer coils mounted in-line within the instrument.
DOI: 10.15468/dl.c438da
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((8.6739 44.36919,9.04246 44.38095,9.0503 44.6711,8.66214 44.68678,8.61117 44.51426,8.6739 44.36919))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Succisa pratensis Moench"
 ]
}

 The dataset includes 14 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018970-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yc77sv
title: Occurrence Download

description: A dataset containing 12180 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (Happywhale - Killer whale in North Pacific Ocean, Passive acoustic monitoring of killer whales in the northern Gulf of Alaska, Happywhale - Killer whale in Southern Ocean, Killer whale (Orcinus orca) interactions with blue-eye trevalla (Hyperoglyphe antarctica) longline fisheries , Australia and Amsterdam/St. Paul Islands (2010-2016), Norwegian Species Observation Service, Passive acoustic monitoring of killer whales in the Gulf of Alaska 2019-2021, NMNH Extant Specimen Records (USNM, US), Habitats Directive Portuguese Report: Species 2013-2018, Galiano Island BC Canada Marine Zoology 1893–2021, Happywhale - Killer whale in North Atlantic Ocean, Base de données Pecheker (modifiée). Museum National D'Histoire Naturelle - DEPARTEMENT MILIEUX PEUPLEMENTS AQUATIQUES)",
 "Issue is one of (Coordinate rounded, Geodetic datum assumed WGS84, Country derived from coordinates, Continent derived from coordinates, Continent derived from country, Occurrence status inferred from individual count, The taxon ID was not used in backbone matching)",
 "OccurrenceStatus is Present",
 "TaxonKey is Orcinus orca (Linnaeus, 1758)"
 ]
}

 The dataset includes 12180 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018969-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.syddap
title: Occurrence Download

description: A dataset containing 1148 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Birgus latro (Linnaeus, 1767)"
 ]
}

 The dataset includes 1148 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018972-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e8s4vg
title: Occurrence Download

description: A dataset containing 11510 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (Galiano Island BC Canada Marine Zoology 1893–2021, NMNH Extant Specimen Records (USNM, US), Happywhale - Killer whale in North Pacific Ocean, Passive acoustic monitoring of killer whales in the northern Gulf of Alaska, Base de données Pecheker (modifiée). Museum National D'Histoire Naturelle - DEPARTEMENT MILIEUX PEUPLEMENTS AQUATIQUES, Happywhale - Killer whale in Southern Ocean, Norwegian Species Observation Service, Passive acoustic monitoring of killer whales in the Gulf of Alaska 2019-2021, Habitats Directive Portuguese Report: Species 2013-2018)",
 "Issue is one of (Coordinate rounded, Geodetic datum assumed WGS84, Continent derived from country, Continent derived from coordinates, Country derived from coordinates, The taxon ID was not used in backbone matching, Occurrence status inferred from individual count)",
 "OccurrenceStatus is Present",
 "TaxonKey is Orcinus orca (Linnaeus, 1758)"
 ]
}

 The dataset includes 11510 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018971-250310093411724/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.26525734
title: Meta-synthesis reveals interconnections among apparent drivers of insect biodiversity loss - Data and code

description: Here you will find all the data files and the R script needed to reproduce the figures in the article "Meta-synthesis reveals interconnections among drivers of insect biodiversity loss." R scripts, data for figures and analysis are contained in the zip folder "data_share.zip."Code and data for shiny app are found in "shiny.zip."