cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29038892.v1
title: Shared decision-making in severe asthma therapy: qualitative study of physician–patient communication

description: Biologics are indicated for severe asthma, but little is known about the factors driving patient and physician decisions surrounding their use. To understand decision drivers for biologic use and conversational dynamics between patients with severe asthma and physicians. This retrospective database study used anonymized physician-patient conversations (recorded September 2018–August 2020) from routine clinical visits, captured in Verilogue’s physician–patient syndicated database. Eligible conversations included those of patients with severe asthma, who were considering biologic therapy (Topic 1), had initiated biologic within 7 months of clinical visit (Topic 2), or were discontinuing/considering switching biologic treatment (Topic 3). Conversations were analyzed quantitatively and descriptively by topic. Overall, 50 conversations between 14 physicians and 50 patients were included (considering biologic, n = 10; recent biologic initiation, n = 20; switched/discontinued biologic, n = 20). Physicians had 68–73% share of the conversation. When considering biologic treatment, the presence of symptoms (including coughing, wheezing, shortness of breath and chest tightness) drove the decision, with 3/10 patients providing additional symptom impact/severity details, and 2/10 describing adjustments to accommodate symptoms. Physicians set unspecified treatment goals and modest expectations for biologic efficacy, framing any symptom control as success (13/20 conversations). Patient symptom assessment drove the decision to continue, discontinue, or switch biologic treatment: in 5/20 cases, physicians asked patients if they were “better” or the medication is “helping”. This study suggests that patients relied on physicians to shape patient–physician interactions and treatment expectations. This suggests that shared decision-making may improve physicians’ understanding of the impact severe asthma has on patients and facilitate the setting of treatment expectations.
DOI: 10.6084/m9.figshare.28581728
title: Mediation analysis of gut microbiota and plasma metabolites in asthma pathogenesis using Mendelian randomization

description: Asthma is a prevalent chronic respiratory condition with multifactorial pathogenesis. Emerging evidence suggests that gut microbiota and their metabolites influence asthma risk. This study explores the mediation effects of plasma metabolites between gut microbiota and asthma using Mendelian randomization (MR) analysis. Publicly available genome-wide association study (GWAS) data were analyzed, comprising 5,959 individuals for gut microbiota, 8,299 for plasma metabolites, and 543,586 (86,923 cases and 456,663 controls) for asthma outcomes. MR analyses were conducted to evaluate causal relationships between gut microbiota, plasma metabolites, and asthma. Mediation effects were assessed using the product of coefficients approach, and statistical significance was determined with Bonferroni correction. The MR analysis identified 24 gut microbiomes and 88 plasma metabolites with suggestive associations with asthma. Notably, mediation analysis revealed that the phylum <i>Cyanobacteria</i> reduced asthma risk <i>via</i> the alpha-tocopherol to glycerol ratio (mediated proportion: 37.48%), while the species <i>UBA2922 sp900313925</i> and the order <i>Parachlamydiales</i> increased risk through arachidonate to linoleate (14.62%) and hypotaurine to taurine (29.36%) ratios, respectively. This study underscores the significant role of the gut microbiota-lung axis in asthma pathogenesis. By identifying specific gut microbiota and metabolite pathways, the findings pave the way for innovative biomarkers and therapeutic strategies targeting gut microbiota and its metabolites to manage and prevent asthma.
DOI: 10.6084/m9.figshare.28581728.v2
title: Mediation analysis of gut microbiota and plasma metabolites in asthma pathogenesis using Mendelian randomization

description: Asthma is a prevalent chronic respiratory condition with multifactorial pathogenesis. Emerging evidence suggests that gut microbiota and their metabolites influence asthma risk. This study explores the mediation effects of plasma metabolites between gut microbiota and asthma using Mendelian randomization (MR) analysis. Publicly available genome-wide association study (GWAS) data were analyzed, comprising 5,959 individuals for gut microbiota, 8,299 for plasma metabolites, and 543,586 (86,923 cases and 456,663 controls) for asthma outcomes. MR analyses were conducted to evaluate causal relationships between gut microbiota, plasma metabolites, and asthma. Mediation effects were assessed using the product of coefficients approach, and statistical significance was determined with Bonferroni correction. The MR analysis identified 24 gut microbiomes and 88 plasma metabolites with suggestive associations with asthma. Notably, mediation analysis revealed that the phylum <i>Cyanobacteria</i> reduced asthma risk <i>via</i> the alpha-tocopherol to glycerol ratio (mediated proportion: 37.48%), while the species <i>UBA2922 sp900313925</i> and the order <i>Parachlamydiales</i> increased risk through arachidonate to linoleate (14.62%) and hypotaurine to taurine (29.36%) ratios, respectively. This study underscores the significant role of the gut microbiota-lung axis in asthma pathogenesis. By identifying specific gut microbiota and metabolite pathways, the findings pave the way for innovative biomarkers and therapeutic strategies targeting gut microbiota and its metabolites to manage and prevent asthma.
DOI: 10.6084/m9.figshare.28581728.v1
title: Mediation Analysis of Gut Microbiota and Plasma Metabolites in Asthma Pathogenesis Using Mendelian Randomization

description: <b>Objective</b> Asthma is a prevalent chronic respiratory condition with multifactorial pathogenesis. Emerging evidence suggests that gut microbiota and their metabolites influence asthma risk. This study explores the mediation effects of plasma metabolites between gut microbiota and asthma using Mendelian randomization (MR) analysis. <b>Methods</b> Publicly available genome-wide association study (GWAS) data were analyzed, comprising 5,959 individuals for gut microbiota, 8,299 for plasma metabolites, and 543,586 (86,923 cases and 456,663 controls) for asthma outcomes. MR analyses were conducted to evaluate causal relationships between gut microbiota, plasma metabolites, and asthma. Mediation effects were assessed using the product of coefficients approach, and statistical significance was determined with Bonferroni correction. <b>Results</b> The MR analysis identified 24 gut microbiomes and 88 plasma metabolites with suggestive associations with asthma. Notably, mediation analysis revealed that the phylum <i>Cyanobacteria</i> reduced asthma risk via the alpha-tocopherol to glycerol ratio (mediated proportion: 37.48%), while the species <i>UBA2922 sp900313925</i> and the order <i>Parachlamydiales</i> increased risk through arachidonate to linoleate (14.62%) and hypotaurine to taurine (29.36%) ratios, respectively. <b>Conclusion</b> This study underscores the significant role of the gut microbiota-lung axis in asthma pathogenesis. By identifying specific gut microbiota and metabolite pathways, the findings pave the way for innovative biomarkers and therapeutic strategies targeting gut microbiota and its metabolites to manage and prevent asthma.
DOI: 10.5284/1093326
title: Reports and Data from Archaeological Evaluation SOU1786 in Vyse Lane, Southampton, Hampshire, 2018

description: This collection comprises the reports and project database from an archaeological evaluation undertaken by the Archaeology Unit of Southampton City Council at Vyse Lane, Southampton on 23rd February 2018
DOI: 10.15468/dl.nzg589
title: Occurrence Download

description: A dataset containing 479 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Brazil",
 "GadmGid is BRA.5_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Schinus terebinthifolia"
 ]
}

 The dataset includes 479 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015365-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n78pq7
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015366-250914085247600/datasets/export for details.
DOI: 10.5281/zenodo.17148564
title: Transcriptome of Phytophthora betacei during infection of Solanum betaceum

description: Transcriptome data (fasta and gff files) for this work:

Title: Microscopical and molecular characterization of the infection cycle of Phytophthora betacei during disease development on tree tomato (Solanum betaceum).

Currently submitted to MPMI (APS journals)

Previous version available on biorxiv.
DOI: 10.15468/dl.ukgk3f
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015367-250914085247600/datasets/export for details.
DOI: 10.15468/dl.ctguqj
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Euphorbia humifusa",
 "Country is Slovenia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015368-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pfbdjr
title: Occurrence Download

description: A dataset containing 4601 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lathyrus venosus"
 ]
}

 The dataset includes 4601 records from 174 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015364-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fm4fkh
title: Occurrence Download

description: A dataset containing 74430 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Canada, United States of America, Mexico)",
 "OccurrenceStatus is Present",
 "TaxonKey is Danaus plexippus",
 "Year 2022-2023"
 ]
}

 The dataset includes 74430 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015291-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fkv28s
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Corydoras blochi)",
 "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 23 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015369-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.drdzmk
title: Occurrence Download

description: A dataset containing 317 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Material sample, Material citation, Specimen, Living Specimen, Occurrence evidence)",
 "Continent is Asia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Biston marginata"
 ]
}

 The dataset includes 317 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015370-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j3x4aw
title: Occurrence Download

description: A dataset containing 460 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Euphorbia humifusa",
 "Country is Switzerland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 460 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015371-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5km694
title: Occurrence Download

description: A dataset containing 7141 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "StateProvince is Idaho",
 "TaxonKey is Halictidae"
 ]
}

 The dataset includes 7141 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015373-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wzkz28
title: Occurrence Download

description: A dataset containing 25746 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lepisosteus oculatus)",
 "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 25746 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015374-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hvsr8m
title: Occurrence Download

description: A dataset containing 2847 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "Geometry POLYGON((2.70094 43.25046,2.74831 43.25046,2.74831 43.27971,2.70094 43.27971,2.70094 43.25046))",
 "HasGeospatialIssue is false",
 "PublishingOrg is 1928bdf0-f5d2-11dc-8c12-b8a03c50a862"
 ]
}

 The dataset includes 2847 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015375-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/13100091
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.akhvnn
title: Occurrence Download

description: A dataset containing 103 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Euphorbia myrsinites",
 "Country is Belgium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 103 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015377-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z2tsur
title: Occurrence Download

description: A dataset containing 290 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Euphorbia myrsinites",
 "Country is Austria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 290 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015376-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dd.nu2dgt
title: Dragonflies of Enggano Island (Sumatra) revisited

description: Summary of data used in [paper](https://www.researchgate.net/publication/393329415_Dragonflies_of_Enggano_Island_Sumatra_revisited) (dn)
DOI: 10.5281/zenodo.14279504
title: Chinese Urban Polycentricity Dynamics: A City-Level Dataset of Population Subcenter (2001-2021)

description: This dataset provides a comprehensive analysis of urban population density and polycentricity dynamics across Chinese cities from 2001 to 2021. The data are meticulously collected and processed to reflect the evolution of subcenters within metropolitan areas, capturing changes in spatial structure and population distribution over a two-decade period. Each entry represents a city-level snapshot that includes metrics such as population density at different subcenters and the degree of polycentricity.

The dataset is valuable for researchers, policymakers, and urban planners interested in understanding the trends and patterns of urban development in China. It can be used to support studies on urban sprawl, economic geography, transportation planning, and sustainable development policies. By providing detailed spatiotemporal information, this resource facilitates comparative analyses between cities and regions, contributing to a deeper understanding of urbanization processes.

Key Features:



Temporal Coverage: Annual data from 2001 to 2021

Geographical Scope: 336 Cities throughout China, including the two Special Administrative Regions of Hong Kong and Macao, and Taiwan Province.

Data Metrics: Population density at various subcenters, polycentricity index, and related urban indicators

Format: Two final CSV files with accompanying 21 Shapefiles metadata

Attributes for each shpfile: The Area means the area of this subcenter, and the SUM means the total population of this subcenter.


*Please note that the English names of the cities in the CSV files are collected from the website. The names of cities in Chinese shall prevail, which can be referred to in the City Name.xlsx.

Researchers should cite this dataset and the relevant paper when using it in publications or presentations. Detailed data collection and processing can be found in the relevant published paper:

Gu, X., Yu, M., & Liu, X. (2025). A city-level dataset of population subcenters in Chinese cities for urban polycentric detection (2001–2021). Big Earth Data, 1–16. https://doi.org/10.1080/20964471.2025.2560164

For further information or questions regarding the dataset, don't hesitate to get in touch with the corresponding author.
DOI: 10.5281/zenodo.14279505
title: Chinese Urban Polycentricity Dynamics: A City-Level Dataset of Population Subcenter (2001-2021)

description: This dataset provides a comprehensive analysis of urban population density and polycentricity dynamics across Chinese cities from 2001 to 2021. The data are meticulously collected and processed to reflect the evolution of subcenters within metropolitan areas, capturing changes in spatial structure and population distribution over a two-decade period. Each entry represents a city-level snapshot that includes metrics such as population density at different subcenters and the degree of polycentricity.

The dataset is valuable for researchers, policymakers, and urban planners interested in understanding the trends and patterns of urban development in China. It can be used to support studies on urban sprawl, economic geography, transportation planning, and sustainable development policies. By providing detailed spatiotemporal information, this resource facilitates comparative analyses between cities and regions, contributing to a deeper understanding of urbanization processes.

Key Features:



Temporal Coverage: Annual data from 2001 to 2021

Geographical Scope: 336 Cities throughout China, including the two Special Administrative Regions of Hong Kong and Macao, and Taiwan Province.

Data Metrics: Population density at various subcenters, polycentricity index, and related urban indicators

Format: Two final CSV files with accompanying 21 Shapefiles metadata

Attributes for each shpfile: The Area means the area of this subcenter, and the SUM means the total population of this subcenter.


*Please note that the English names of the cities in the CSV files are collected from the website. The names of cities in Chinese shall prevail, which can be referred to in the City Name.xlsx.

Researchers should cite this dataset and the relevant paper when using it in publications or presentations. Detailed data collection and processing can be found in the relevant published paper:

Gu, X., Yu, M., & Liu, X. (2025). A city-level dataset of population subcenters in Chinese cities for urban polycentric detection (2001–2021). Big Earth Data, 1–16. https://doi.org/10.1080/20964471.2025.2560164

For further information or questions regarding the dataset, don't hesitate to get in touch with the corresponding author.
DOI: 10.5284/1093320
title: Reports from Archaeological Building Recording Project SOU1755 of 3 Grosvenor Square, Southampton, 2017

description: This collection comprises the Written Scheme of Investigation and Report resulting from a programme of archaeological building recording carried out by The Archaeology Unit of Southampton City Council 3 Grosvenor Square, Southampton in 2017.
DOI: 10.15468/dl.725x8j
title: Occurrence Download

description: A dataset containing 49802 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leucaena leucocephala"
 ]
}

 The dataset includes 49802 records from 790 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015372-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17153380
title: High-throughput superconducting Tc through density of states rescaling

description: Dataset for manuscript: "High-throughput superconducting Tc through density of states rescaling"First principles computational methods can predict the superconducting critical temperature Tcof conventional superconductors through the electron-phonon spectral function. Full convergenceof this quantity requires Brillouin zone integration on very dense grids, presenting a bottleneck tohigh-throughput screening for high Tc systems. In this work, we show that an electron-phononspectral function calculated at low cost on a coarse grid yields accurate Tc predictions, provided thefunction is rescaled to correct for the inaccurate value of the density of states at the Fermi energy oncoarser grids. Compared to standard approaches, the method converges rapidly and improves theaccuracy of predictions for systems with sharp features in the density of states. This approach canbe directly integrated into existing materials screening workflows, enabling the rapid identificationof promising candidates that might otherwise be overlooked.
DOI: 10.15468/dl.dabrrq
title: Occurrence Download

description: A dataset containing 277 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Euphorbia myrsinites",
 "Country is Canada",
 "HasCoordinate is true"
 ]
}

 The dataset includes 277 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015378-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.