cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14893182
title: 3D displacements of a moored accelerometer wave buoy

description: 3D displacements of a accelerometer wave buoy, moored in coastal waters close to the "Acqua Alta" oceanographic tower in the North Adriatic Sea (Italy).



Data collection: 15 March 2022 - 2 February 2023

Sampling rate: 4 Hz

Samples: 4096

Data organization: 1 folder per day, containing 48 ASCII files (*.pos) every 30 minutes

Data organization in files .pos: 3 columns of east, north, vertical (positive upward) buoy displacements in metres

Buoy type: https://www.siapmicros.com/en/applicazioni/ronnew-national-wave-network/
DOI: 10.57932/52b17dd4-c1f5-4242-bcc1-c81c7971fb04
title: 2018 hourly temperature for Rennes area

description: As part of the research work on urban heat islands in Rennes, a network of automatic weather stations (AWS) was deployed from 2003.
This work is part of CNRS environmental monitoring systems SNO-Obervil and Zone Atelier Armorique. 
The work was funded by various research programs and conducted in partnership with the Rennes Ville et Métropole community.
The measurements are taken at a height of 2 meters in various landscape contexts: dense urban, peri-urban and rural.
The choice of measurement points was determined by analysis of the LCZ (Local Climate Zone, see references in the appendix).
The data are collected at hourly time steps, instantaneous measurement at precise UT time for the year 2018.
DOI: 10.15468/dl.7s2fk7
title: Occurrence Download

description: A dataset containing 441 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Carthamus lanatus L.",
 "Country is United States of America",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 441 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001701-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14893406
title: Chapter4_Supplementary_TableS6
DOI: 10.5281/zenodo.14893407
title: Chapter4_Supplementary_TableS6
DOI: 10.15468/dl.fvvatt
title: Occurrence Download

description: A dataset containing 917 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "TaxonKey is Herpsilochmus motacilloides Taczanowski, 1874"
 ]
}

 The dataset includes 917 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001702-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14893408
title: Chapter4_Supplementary_TableS7
DOI: 10.5281/zenodo.14893409
title: Chapter4_Supplementary_TableS7
DOI: 10.5281/zenodo.14893006
title: Data associated to manuscript: Alternating drying and flowing phases control stream metabolism through short- and long-term effects: insights from a river network

description: Data associated to manuscript by López-Rojo et al., :

Alternating drying and flowing phases control stream metabolism through short- and long-term effects: insights from a river network

File includes the following columns:



Date

siteID

flow regime (Regime, PR: perennial or NPR: non-perennial) of each siteID

daily estimations of river ecosystem respiration (ER_daily_mean,  gO2 m-2 d-1)

daily estimations of river gross primary production (GPP_daily_mean, gO2 m-2 d-1)

daily estimations of k600 (d-1)

mean daily light (μmol m-2 s-1)

daily river discharge (Q, m3 s-1)


ER, GPP and k600 estimatioms were obtained from time series of dissolved oxygen data (and ancillary variables as atmospheric pressure, light, water depth) by inverse Bayesian modeling using the streamMetabolizer R package. All methodological details can be found in the supporting material of López-Rojo et al., 2025
DOI: 10.15468/dl.vwa2qk
title: Occurrence Download

description: A dataset containing 321 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Lophura inornata (Salvadori, 1879)"
 ]
}

 The dataset includes 321 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001705-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14893412
title: Chapter4_Supplementary_TableS9
DOI: 10.5281/zenodo.14893413
title: Chapter4_Supplementary_TableS9
DOI: 10.3217/szw62-e9g80
title: FBD-graphs

description: Three different FBD-Graphs (fully blocked digraphs without oriented 1-, 2-, or 3-cycles), saved as an edgelist.

 

 

`FBD_original.txt` contains to the full construction which is described in full-detail in the paper.

`FBD_minimal_vertices.tex` is 6 vertices and 48 edges smaller, at the time of writing the smallest known FBD-graph w.r.t. number of vertices and edges.

`FBD_minimal_α.txt` describes our smallest known graph w.r.t. max-α, i.e. the biggest number of 3-cliques a single edge participates in. In this case α=34.

 

`verifier.py` contains self-explanatory  python code to check a graph for FBD-properties. Please fetch graph data files manually if autofetching does not work.
DOI: 10.3217/xfpsr-pzx32
title: FBD-graphs

description: Three different FBD-Graphs (fully blocked digraphs without oriented 1-, 2-, or 3-cycles), saved as an edgelist.

 

 

`FBD_original.txt` contains to the full construction which is described in full-detail in the paper.

`FBD_minimal_vertices.tex` is 6 vertices and 48 edges smaller, at the time of writing the smallest known FBD-graph w.r.t. number of vertices and edges.

`FBD_minimal_α.txt` describes our smallest known graph w.r.t. max-α, i.e. the biggest number of 3-cliques a single edge participates in. In this case α=34.

 

`verifier.py` contains self-explanatory  python code to check a graph for FBD-properties. Please fetch graph data files manually if autofetching does not work.
DOI: 10.15468/dl.ag9us6
title: Occurrence Download

description: A dataset containing 52671 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is ETH.8.3_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 52671 records from 95 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001706-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bwhmu8
title: Occurrence Download

description: A dataset containing 106 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Lophura pyronota (G.R.Gray, 1841)"
 ]
}

 The dataset includes 106 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001707-250218110819086/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.27102913.v2
title: Causal effects of pediatric asthma on psychiatric disorders: a bidirectional Mendelian randomization study

description: Previous studies have suggested a potential link between pediatric asthma and psychiatric disorders. However, the causal relationship between pediatric asthma and psychiatric disorders is unclear. Therefore, we used Mendelian randomization to explore causal relationships between pediatric asthma and depression, anxiety disorders, and attention deficit and hyperactivity disorder (ADHD). Genome-wide association studies (GWAS) meta-analyses with the largest possible sample size and independent individuals from European ancestry were selected. The genetic data for depression and anxiety are from FinnGen consortium, while the genetic data for ADHD is from the Psychiatric Genomics Consortium. Inverse variance weighted (IVW) was the main analysis method. The heterogeneity of the instrumental variables (IVs) was assessed using IVW, and the horizontal pleiotropy of the IVs was assessed using MR-Egger. The IVW results showed a significant causal relationship between pediatric asthma and depression (OR = 1.08, 95% CI = 1.02–1.15; <i>p</i> = 0.013). However, there is no evidence to suggest a causal relationship between pediatric asthma, anxiety, and ADHD. Reverse MR suggests a significant causal relationship (OR = 1.27, 95% CI [1.14–1.41], <i>p</i> = 9.64E − 06) between ADHD and pediatric asthma using the IVW method. Our findings suggest a causal relationship between pediatric asthma and an increased risk of depression. Additionally, we found that ADHD is significantly associated with a higher risk of pediatric asthma.
DOI: 10.6084/m9.figshare.27248683
title: Asthma identified as a major risk factor for recurrent respiratory tract infections in children: a meta-analysis of 29 studies

description: Recurrent respiratory tract infections (RRTIs) in children represent a significant clinical challenge. Although some studies have identified potential risk factors, a comprehensive and systematic overview is lacking. This analysis is carried out to provide more advanced evidence to guide future prevention and health care. This study (PROSPERO: CRD42024576464) was conducted in accordance with PRISMA guidelines. PubMed, Embase, Web of Science, and the Cochrane Library were searched for relevant studies published in English. Subgroup analysis, sensitivity analysis, and publication bias assessments were performed. Data analysis was conducted using Stata 17, and GRADE was employed to assess the quality of evidence. The risk factors identified in the positive results were discussed qualitatively. A total of 29 studies covering 639,078 children were included. Some risk factors: asthma (OR = 3.08, 2.06–4.62), breastfeeding &lt;6 months (OR = 1.26, 1.04–1.52), DCC: day care center (OR = 1.50, 1.16–1.93), have siblings (OR = 1.26, 1.00–1.59), ETS: Environmental tobacco smoke (OR = 1.13, 1.00–1.27), snoring (OR = 1.49, 1.16–1.93) got positive result. This analysis identifies several key risk factors for RRTIs in children, providing enhanced evidence for prevention and management strategies. In particular, asthma warrants closer attention, given its strong association with respiratory infections in pediatrics.
DOI: 10.6084/m9.figshare.27248683.v2
title: Asthma identified as a major risk factor for recurrent respiratory tract infections in children: a meta-analysis of 29 studies

description: Recurrent respiratory tract infections (RRTIs) in children represent a significant clinical challenge. Although some studies have identified potential risk factors, a comprehensive and systematic overview is lacking. This analysis is carried out to provide more advanced evidence to guide future prevention and health care. This study (PROSPERO: CRD42024576464) was conducted in accordance with PRISMA guidelines. PubMed, Embase, Web of Science, and the Cochrane Library were searched for relevant studies published in English. Subgroup analysis, sensitivity analysis, and publication bias assessments were performed. Data analysis was conducted using Stata 17, and GRADE was employed to assess the quality of evidence. The risk factors identified in the positive results were discussed qualitatively. A total of 29 studies covering 639,078 children were included. Some risk factors: asthma (OR = 3.08, 2.06–4.62), breastfeeding &lt;6 months (OR = 1.26, 1.04–1.52), DCC: day care center (OR = 1.50, 1.16–1.93), have siblings (OR = 1.26, 1.00–1.59), ETS: Environmental tobacco smoke (OR = 1.13, 1.00–1.27), snoring (OR = 1.49, 1.16–1.93) got positive result. This analysis identifies several key risk factors for RRTIs in children, providing enhanced evidence for prevention and management strategies. In particular, asthma warrants closer attention, given its strong association with respiratory infections in pediatrics.
DOI: 10.6084/m9.figshare.27088701
title: Dried fruit, acetate, and asthma: a mediation Mendelian randomization analysis

description: Asthma is a common chronic condition with increasing prevalence. Diet, including dried fruit consumption, has been linked to asthma risk, but the mechanisms remain unclear. This study investigates how dried fruit consumption affects asthma risk, focusing on acetate as a potential mediator. We used Mendelian Randomization (MR) to analyze the relationships between dried fruit intake, acetate levels, and asthma. We applied three MR methods—Inverse-Variance Weighted (IVW), Weighted Median (WM), and MR-Egger—to determine causal effects. Dried fruit intake was inversely associated with asthma risk (IVW: β = -0.506, <i>p</i> = 0.0135) and positively associated with acetate levels (IVW: β = 0.269, <i>p</i> &lt; 0.0001). Higher acetate levels were also linked to lower asthma risk (IVW: β=-0.361, <i>p</i> &lt; 0.0001). Mediation analysis showed that acetate mediates approximately 19.22% of the effect of dried fruit on asthma risk. Dried fruit consumption reduces asthma risk, partly through increasing acetate levels. This acetate-mediated pathway accounts for about 20% of the effect, suggesting potential for dietary strategies in asthma prevention and management. Further research could enhance the understanding and applicability of these findings.
DOI: 10.6084/m9.figshare.27088701.v2
title: Dried fruit, acetate, and asthma: a mediation Mendelian randomization analysis

description: Asthma is a common chronic condition with increasing prevalence. Diet, including dried fruit consumption, has been linked to asthma risk, but the mechanisms remain unclear. This study investigates how dried fruit consumption affects asthma risk, focusing on acetate as a potential mediator. We used Mendelian Randomization (MR) to analyze the relationships between dried fruit intake, acetate levels, and asthma. We applied three MR methods—Inverse-Variance Weighted (IVW), Weighted Median (WM), and MR-Egger—to determine causal effects. Dried fruit intake was inversely associated with asthma risk (IVW: β = -0.506, <i>p</i> = 0.0135) and positively associated with acetate levels (IVW: β = 0.269, <i>p</i> &lt; 0.0001). Higher acetate levels were also linked to lower asthma risk (IVW: β=-0.361, <i>p</i> &lt; 0.0001). Mediation analysis showed that acetate mediates approximately 19.22% of the effect of dried fruit on asthma risk. Dried fruit consumption reduces asthma risk, partly through increasing acetate levels. This acetate-mediated pathway accounts for about 20% of the effect, suggesting potential for dietary strategies in asthma prevention and management. Further research could enhance the understanding and applicability of these findings.
DOI: 10.6084/m9.figshare.27102913
title: Causal effects of pediatric asthma on psychiatric disorders: a bidirectional Mendelian randomization study

description: Previous studies have suggested a potential link between pediatric asthma and psychiatric disorders. However, the causal relationship between pediatric asthma and psychiatric disorders is unclear. Therefore, we used Mendelian randomization to explore causal relationships between pediatric asthma and depression, anxiety disorders, and attention deficit and hyperactivity disorder (ADHD). Genome-wide association studies (GWAS) meta-analyses with the largest possible sample size and independent individuals from European ancestry were selected. The genetic data for depression and anxiety are from FinnGen consortium, while the genetic data for ADHD is from the Psychiatric Genomics Consortium. Inverse variance weighted (IVW) was the main analysis method. The heterogeneity of the instrumental variables (IVs) was assessed using IVW, and the horizontal pleiotropy of the IVs was assessed using MR-Egger. The IVW results showed a significant causal relationship between pediatric asthma and depression (OR = 1.08, 95% CI = 1.02–1.15; <i>p</i> = 0.013). However, there is no evidence to suggest a causal relationship between pediatric asthma, anxiety, and ADHD. Reverse MR suggests a significant causal relationship (OR = 1.27, 95% CI [1.14–1.41], <i>p</i> = 9.64E − 06) between ADHD and pediatric asthma using the IVW method. Our findings suggest a causal relationship between pediatric asthma and an increased risk of depression. Additionally, we found that ADHD is significantly associated with a higher risk of pediatric asthma.
DOI: 10.6084/m9.figshare.27102913.v1
title: Causal effects of pediatric asthma on psychiatric disorders: A bidirectional Mendelian randomization study

description: Previous studies have suggested a potential link between pediatric asthma and psychiatric disorders. However, the causal relationship between pediatric asthma and psychiatric disorders is unclear. Therefore, we used Mendelian randomization to explore causal relationships between pediatric asthma and depression, anxiety disorders, and attention deficit and hyperactivity disorder (ADHD). Genome-wide association Studies (GWAS) meta-analyses with the largest possible sample size and independent individuals from European ancestry were selected. The genetic data for depression and anxiety are from FinnGen consortium, while the genetic data for ADHD is from the Psychiatric Genomics Consortium. Inverse variance weighted (IVW) was the main analysis method. The heterogeneity of the instrumental variables (IVs) was assessed using IVW, and the horizontal pleiotropy of the IVs was assessed using MR-Egger. The IVW results showed a significant causal relationship between pediatric asthma and depression (OR = 1.08, 95% CI = 1.02-1.15; P = 0.013). However, there is no evidence to suggest a causal relationship between pediatric asthma, anxiety, and ADHD. Reverse MR suggests a significant causal relationship (OR = 1.27, 95% CI [1.14-1.41], P = 9.64E-06) between ADHD and pediatric asthma using the IVW method. Our findings suggest a causal relationship between pediatric asthma and an increased risk of depression. Additionally, we found that ADHD is significantly associated with a higher risk of pediatric asthma.
DOI: 10.6084/m9.figshare.27215517
title: Efficacy and safety of montelukast–levocetirizine combination therapy in combined allergic rhinitis and asthma syndrome: a systematic review and meta-analysis

description: This meta-analysis aims to evaluate the efficacy and safety of montelukast combined with levocetirizine in the treatment of allergic rhinitis with asthma, and to provide objective and effective evidence-based medical evidence for clinical use. PubMed, Web of Science, Cochrane Library, WANFANG DATA, CNKI, and Chinese BioMedical Literature Database were retrieved to identify records related to montelukast combined with levocetirizine in the treatment of allergic rhinitis with asthma. First, the eligibility criteria were employed to screen search results. Then, two investigators independently assessed titles, abstracts, and the full text of all retrieved references to identify potentially eligible studies. As of 2024-02-03, a total of six articles were included in this meta-analysis, covering 2,950 patients with allergic rhinitis with asthma. The meta-analysis results exhibited a pooled NSS of −1.28 (95%CI: −1.64 to −0.92), suggesting that the combination of montelukast and levocetirizine was effective in the treatment of nasal symptoms of allergic rhinitis complicated with asthma. The meta-analysis of controlled trials showed that the SMD of NSS in the group of montelukast combined with levocetirizine was −2.56 (95%CI: −2.77 to −2.35). The result indicated that compared with the control group, the combination of montelukast with levocetirizine significantly improved the symptoms of allergic rhinitis. In summary, this meta-analysis demonstrated the efficacy of montelukast combined with levocetirizine in the treatment of nasal symptoms in AR with asthma, indicating that the combination of montelukast with levocetirizine is more effective in improving symptoms of allergic rhinitis than monotherapy and has good safety.
DOI: 10.6084/m9.figshare.27215517.v2
title: Efficacy and safety of montelukast–levocetirizine combination therapy in combined allergic rhinitis and asthma syndrome: a systematic review and meta-analysis

description: This meta-analysis aims to evaluate the efficacy and safety of montelukast combined with levocetirizine in the treatment of allergic rhinitis with asthma, and to provide objective and effective evidence-based medical evidence for clinical use. PubMed, Web of Science, Cochrane Library, WANFANG DATA, CNKI, and Chinese BioMedical Literature Database were retrieved to identify records related to montelukast combined with levocetirizine in the treatment of allergic rhinitis with asthma. First, the eligibility criteria were employed to screen search results. Then, two investigators independently assessed titles, abstracts, and the full text of all retrieved references to identify potentially eligible studies. As of 2024-02-03, a total of six articles were included in this meta-analysis, covering 2,950 patients with allergic rhinitis with asthma. The meta-analysis results exhibited a pooled NSS of −1.28 (95%CI: −1.64 to −0.92), suggesting that the combination of montelukast and levocetirizine was effective in the treatment of nasal symptoms of allergic rhinitis complicated with asthma. The meta-analysis of controlled trials showed that the SMD of NSS in the group of montelukast combined with levocetirizine was −2.56 (95%CI: −2.77 to −2.35). The result indicated that compared with the control group, the combination of montelukast with levocetirizine significantly improved the symptoms of allergic rhinitis. In summary, this meta-analysis demonstrated the efficacy of montelukast combined with levocetirizine in the treatment of nasal symptoms in AR with asthma, indicating that the combination of montelukast with levocetirizine is more effective in improving symptoms of allergic rhinitis than monotherapy and has good safety.
DOI: 10.6084/m9.figshare.27248683.v1
title: Asthma Identified as a Major Risk Factor for Recurrent Respiratory Tract Infections in Children: A Meta-Analysis of 29 Studies

description: Recurrent respiratory tract infections (RRTIs) in children represent a significant clinical challenge. Although some studies have identified potential risk factors, a comprehensive and systematic overview is lacking. This analysis is carried out to provide more advanced evidence to guide future prevention and health care. This study (PROSPERO: CRD42024576464) was conducted in accordance with PRISMA guidelines. PubMed, Embase, Web of Science, and the Cochrane Library were searched for relevant studies published in English. Subgroup analysis, sensitivity analysis, and publication bias assessments were performed. Data analysis was conducted using Stata 17, and GRADE was employed to assess the quality of evidence. The risk factors identified in the positive results were discussed qualitatively. A total of 29 studies covering 639078 children were included. Some risk factors: asthma(OR = 3.08,2.06-4.62), breast feeding &lt; 6 month(OR = 1.26,1.04-1.52), DCC: day care center (OR = 1.50,1.16-1.93), have siblings(OR = 1.26,1.00-1.59), ETS: Environmental tobacco smoke (OR = 1.13,1.00-1.27), snoring(OR = 1.49,1.16-1.93)got positive result. This analysis identifies several key risk factors for RRTIs in children, providing enhanced evidence for prevention and management strategies. In particular, asthma warrants closer attention, given its strong association with respiratory infections in pediatrics.