cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.rnxpba
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Columba livia J.F.Gmelin, 1789, Clarias gariepinus (Burchell, 1822), Aristichthys nobilis (Richardson, 1845), Carassius auratus (Linnaeus, 1758), Ctenopharyngodon idella (Valenciennes, 1844), Cyprinus carpio Linnaeus, 1758, Hypophthalmichthys molitrix (Valenciennes, 1844), Mylopharyngodon piceus (Richardson, 1846), Puntius gonionotus (Bleeker, 1849), Oreochromis mossambicus (Peters, 1852), Oreochromis niloticus (Linnaeus, 1758), Pterygoplichthys multiradiatus (Hancock, 1828), Trichopodus pectoralis Regan, 1910, Pangasius sanitwongsei Smith, 1931, Pangasius sutchi Fowler, 1937, Gambusia affinis (Baird & Girard, 1853), Poecilia reticulata Peters, 1859, Bemisia tabaci (Gennadius, 1889), Trogoderma granarium Everts, 1898, Paratrechina longicornis (Latreille, 1802), Tapinoma melanocephalum (Fabricius, 1793), Diaphorina citri Kuwayama, 1908, Achatina fulica Bowdich, 1822, Alternanthera Forssk., Alternanthera philoxeroides (Mart.) Griseb., Acanthospermum hispidum DC., Ageratum conyzoides L., Chromolaena odorata (L.) R.M.King & H.Rob., Cyanthillium cinereum (L.) H.Rob., Mikania micrantha Kunth, Parthenium hysterophorus L., Cardamine flexuosa With., Commelina obliqua Vahl, Convolvulus arvensis L., Cuscuta reflexa Roxb., Evolvulus nummularius (L.) L., Ipomoea carnea Jacq., Cyperus rotundus L., Croton bonplandianus Baill., Acacia auriculiformis A.Cunn. ex Benth., Acacia mangium Willd., Atylosia scarabaeoides (L.) Benth., Dalbergia sissoo Roxb. ex DC., Falcataria moluccana (Miq.) Barneby & J.W.Grimes, Leucaena leucocephala (Lam.) de Wit, Mimosa pudica L., Senna occidentalis (L.) Link, Xylia dolabriformis Benth., Hyptis suaveolens (L.) Poit., Tectona grandis L.f., Limnocharis flava (L.) Buchenau, Triumfetta rhomboidea Jacq., Urena lobata L., Melastoma malabathricum L., Swietenia macrophylla G.King, Swietenia mahagoni (L.) Jacq., Eucalyptus brassiana S.T.Blake, Eucalyptus camaldulensis Denham, Eucalyptus tereticornis Sm., Ludwigia adscendens (L.) H.Hara, Argemone mexicana L., Pinus caribaea Morelet, Pinus oocarpa Schiede ex Schltdl., Cynodon dactylon (L.) Pers., Persicaria hydropiper (L.) Spach, Eichhornia crassipes (Mart.) Solms, Salvinia ×molesta D.S.Mitch., Cestrum diurnum L., Lantana camara L.)",
 "HasCoordinate is true",
 "Country is Bangladesh"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002596-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.14052791
title: Model output and figure code for "Tradeoffs Between Vertical and Lateral Resilience in a Salt Marsh Restoration Model"

description: Simulation output data from COLT_Restorations model stored on the Community Surface Dynamics Modeling System public model repository at https://csdms.colorado.edu/wiki/Model:COLT_Restorations and on a GitHub public repository at https://github.com/mbbarksdale/CoLT_Restorations.

These data were processed and graphed with model code that can also be found in a GitHub public repository at https://github.com/mbbarksdale/COLTRestorationsPaper_dataANDfigures.
DOI: 10.5281/zenodo.14052790
title: Model output and figure code for "Tradeoffs Between Vertical and Lateral Resilience in a Salt Marsh Restoration Model"

description: Simulation output data from COLT_Restorations model stored on the Community Surface Dynamics Modeling System public model repository at https://csdms.colorado.edu/wiki/Model:COLT_Restorations and on a GitHub public repository at https://github.com/mbbarksdale/CoLT_Restorations.

These data were processed and graphed with model code that can also be found in a GitHub public repository at https://github.com/mbbarksdale/COLTRestorationsPaper_dataANDfigures.
DOI: 10.5281/zenodo.15519171
title: Model output and figure code for "Tradeoffs Between Vertical and Lateral Resilience in a Salt Marsh Restoration Model"

description: Simulation output data from COLT_Restorations model stored on the Community Surface Dynamics Modeling System public model repository at https://csdms.colorado.edu/wiki/Model:COLT_Restorations and on a GitHub public repository at https://github.com/mbbarksdale/CoLT_Restorations.

These data were processed and graphed with model code that can also be found in a GitHub public repository at https://github.com/mbbarksdale/COLTRestorationsPaper_dataANDfigures.
DOI: 10.15468/dl.q9brwb
title: Occurrence Download

description: A dataset containing 634882 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Gracillariidae",
 "Year 1990-2025"
 ]
}

 The dataset includes 634882 records from 534 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002583-250525065834625/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/11963934
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.14403232
title: PhoreGen source code and data (LigPhore, CpxPhore, and DockPhore dataset and trained weights)
title: PhoreGen: Pharmacophore-Oriented 3D Molecular Generation towards Efficient Feature-Customized Drug Discovery
DOI: 10.5281/zenodo.14404575
title: PhoreGen data (LigPhore, CpxPhore, and DockPhore dataset and trained weights)
title: PhoreGen: Pharmacophore-Oriented 3D Molecular Generation towards Efficient Feature-Customized Drug Discovery
DOI: 10.5281/zenodo.15518867
title: PhoreGen source code and data (LigPhore, CpxPhore, and DockPhore dataset and trained weights)
title: PhoreGen: Pharmacophore-Oriented 3D Molecular Generation towards Efficient Feature-Customized Drug Discovery
DOI: 10.15468/dl.gd388t
title: Occurrence Download

description: A dataset containing 3707 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Diplachne fusca subsp. uninervia (J.Presl) P.M.Peterson & N.Snow"
 ]
}

 The dataset includes 3707 records from 266 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002585-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15522814
title: Multivariate GWAS for ARD

description: This dataset contains genome-wide summary statistics (autosomal variants) computed from a multivariate genome-wide association study of five age-related diseases (heart attack, high cholesterol, hypertension, stroke, and type 2 diabetes) using Genomic Structural Equation Modeling (https://github.com/GenomicSEM/GenomicSEM).  The calculated effective sample size is 475,203.

Number of variants: 4,893,454

Column names:

SNP = rsID

CHR = chromosome

BP = base pair location

MAF = minor allele frequency 

A1 = effect allele

A2 = other allele

est = effect of the SNP on the common factor

se_c = standard error of the effect

Z_Estimate = est/se_c

Pval_Estimate = corresponding P-value of Z_Estimate

Q = heterogeneity estimate of the SNP

Q_df = degree of freedom for Q

Q_pval = P-value associated with the Q statistics
DOI: 10.5281/zenodo.15522815
title: Multivariate GWAS for ARD

description: This dataset contains genome-wide summary statistics (autosomal variants) computed from a multivariate genome-wide association study of five age-related diseases (heart attack, high cholesterol, hypertension, stroke, and type 2 diabetes) using Genomic Structural Equation Modeling (https://github.com/GenomicSEM/GenomicSEM).  The calculated effective sample size is 475,203.

Number of variants: 4,893,454

Column names:

SNP = rsID

CHR = chromosome

BP = base pair location

MAF = minor allele frequency 

A1 = effect allele

A2 = other allele

est = effect of the SNP on the common factor

se_c = standard error of the effect

Z_Estimate = est/se_c

Pval_Estimate = corresponding P-value of Z_Estimate

Q = heterogeneity estimate of the SNP

Q_df = degree of freedom for Q

Q_pval = P-value associated with the Q statistics
DOI: 10.15468/dl.5p977b
title: Occurrence Download

description: A dataset containing 4218 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Iris pumila L.",
 "Year 2019-2025"
 ]
}

 The dataset includes 4218 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002589-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.83g9gc
title: Occurrence Download

description: A dataset containing 163 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Medicago cancellata M.Bieb."
 ]
}

 The dataset includes 163 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002590-250525065834625/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/11963859
title: Data-of-Manuscript
DOI: 10.15468/dl.dpfu4t
title: Occurrence Download

description: A dataset containing 1318 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Poa palustris L."
 ]
}

 The dataset includes 1318 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002594-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nxe22b
title: Occurrence Download

description: A dataset containing 5806 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ranunculus acris L.",
 "Year 2025-2025"
 ]
}

 The dataset includes 5806 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002592-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1383328.10fu
title: SH1383328.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.6084/m9.figshare.31055542
title: Supplementary Material for: Proliferation-Guided Risk Stratification in HER2-Low vs. HER2-Positive Hormone Receptor-Positive Breast Cancer: A Multicenter Retrospective Analysis

description: Background: HER2-low breast cancer is a newly characterized subgroup with unclear prognostic implications. This study investigates the prognostic role of Ki67 in hormone receptor-positive (HR+) HER2-low and HER2-positive breast cancer.
Methods: We retrospectively analyzed 224 HR+ breast cancer patients from four tertiary centers (96 HER2-low, 128 HER2-positive). Patients were stratified into Stage I–III (n=156) and Stage IV (n=68). Survival outcomes were assessed according to HER2 and Ki67 status using Kaplan–Meier analysis and Cox regression.
Results: HER2-low patients were older (≥65 years: 65% vs. 28%, p&lt;0.001). In Stage I–III patients, disease-free survival (DFS) was significantly longer in the HER2-low subgroup (median: 86 vs. 59 months; p&lt;0.001) and in those with Ki67 &lt;20% (median: 74 vs. 34 months; p&lt;0.001). Multivariable analysis confirmed high Ki67 (HR: 1.664; 95% CI: 1.564–2.048; p&lt;0.001), hormone receptor negativity (HR: 1.967; 95% CI: 1.614–2.433; p=0.020), larger tumor size, and axillary nodal involvement as independent predictors of poor DFS. Among Stage IV patients, overall survival (OS) did not differ significantly by HER2 status (34 vs. 28 months; p=0.427) but was significantly shorter in those with Ki67 ≥20% (18 vs. 29 months; p&lt;0.001). In multivariable analysis, high Ki67 (HR: 2.174; 95% CI: 1.994–2.256; p&lt;0.001), hormone receptor negativity (HR: 1.649; 95% CI: 1.184–2.143; p&lt;0.001), and presence of brain metastasis (HR: 1.564; 95% CI: 1.379–1.994; p&lt;0.001) were independent predictors of poor OS.
Conclusion: Ki67 appears to be an important prognostic biomarker in HR+ breast cancer across both HER2-low and HER2-positive subgroups. Dual stratification by HER2 and Ki67 status may improve risk assessment and help identify high-risk subgroups who could benefit from treatment approaches beyond endocrine therapy alone. These findings warrant confirmation in prospective studies.
DOI: 10.6084/m9.figshare.31055542.v1
title: Supplementary Material for: Proliferation-Guided Risk Stratification in HER2-Low vs. HER2-Positive Hormone Receptor-Positive Breast Cancer: A Multicenter Retrospective Analysis

description: Background: HER2-low breast cancer is a newly characterized subgroup with unclear prognostic implications. This study investigates the prognostic role of Ki67 in hormone receptor-positive (HR+) HER2-low and HER2-positive breast cancer.
Methods: We retrospectively analyzed 224 HR+ breast cancer patients from four tertiary centers (96 HER2-low, 128 HER2-positive). Patients were stratified into Stage I–III (n=156) and Stage IV (n=68). Survival outcomes were assessed according to HER2 and Ki67 status using Kaplan–Meier analysis and Cox regression.
Results: HER2-low patients were older (≥65 years: 65% vs. 28%, p&lt;0.001). In Stage I–III patients, disease-free survival (DFS) was significantly longer in the HER2-low subgroup (median: 86 vs. 59 months; p&lt;0.001) and in those with Ki67 &lt;20% (median: 74 vs. 34 months; p&lt;0.001). Multivariable analysis confirmed high Ki67 (HR: 1.664; 95% CI: 1.564–2.048; p&lt;0.001), hormone receptor negativity (HR: 1.967; 95% CI: 1.614–2.433; p=0.020), larger tumor size, and axillary nodal involvement as independent predictors of poor DFS. Among Stage IV patients, overall survival (OS) did not differ significantly by HER2 status (34 vs. 28 months; p=0.427) but was significantly shorter in those with Ki67 ≥20% (18 vs. 29 months; p&lt;0.001). In multivariable analysis, high Ki67 (HR: 2.174; 95% CI: 1.994–2.256; p&lt;0.001), hormone receptor negativity (HR: 1.649; 95% CI: 1.184–2.143; p&lt;0.001), and presence of brain metastasis (HR: 1.564; 95% CI: 1.379–1.994; p&lt;0.001) were independent predictors of poor OS.
Conclusion: Ki67 appears to be an important prognostic biomarker in HR+ breast cancer across both HER2-low and HER2-positive subgroups. Dual stratification by HER2 and Ki67 status may improve risk assessment and help identify high-risk subgroups who could benefit from treatment approaches beyond endocrine therapy alone. These findings warrant confirmation in prospective studies.
DOI: 10.15156/bio/sh1383329.10fu
title: SH1383329.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1383330.10fu
title: SH1383330.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1383332.10fu
title: SH1383332.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1383333.10fu
title: SH1383333.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1383334.10fu
title: SH1383334.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.6084/m9.figshare.31055545
title: Supplementary Material for: Burden, Temporal Trends, and Future Projections of Non-traumatic Intracerebral Hemorrhage in Asia, 1990–2050: A Systematic Analysis of the Global Burden of Disease 2021

description: Introduction: Non-traumatic intracerebral hemorrhage (ICH) is a major cause of mortality and disability in Asia, yet comprehensive assessments remain limited. We quantified the ICH burden across Asia during 1990–2021 and projected trends to 2050.
Methods: Using Global Burden of Disease 2021 data, we analyzed age-standardized rates (ASRs) of prevalence (ASPR), incidence (ASIR), mortality (ASMR), and disability-adjusted life years (ASDR) by age, sex, and region. We examined correlations with the Socio-demographic Index (SDI) and Universal Health Coverage Index (UHCI), and forecast trends with Bayesian age–period–cohort modeling.
Results: From 1990 to 2021, absolute burden increased: prevalent cases 7.23→11.44 million, incident cases 1.59→2.56 million, deaths 1.64→2.56 million, and DALYs 44.20→60.54 million. ASRs declined: ASPR 295.05→221.51 per 100,000 (EAPC −1.07), ASIR 82.35→52.35 (−1.79), ASMR 92.02→53.26 (−1.86), and ASDR 2,094.51→1,194.11 (−1.89). Males consistently had higher burdens; all ASRs increased with age. High systolic blood pressure was the leading risk factor. ASIR, ASMR, and ASDR were inversely correlated with SDI and UHCI (p&lt;0.001), whereas ASPR showed no association. Projections indicate continued declines in ASPR, ASIR, and ASMR through 2050.
Conclusion: Despite broad declines in ASRs linked to healthcare advances, population aging is driving rising absolute burden. Region-specific preventive strategies are urgently needed to curb future ICH impact across diverse Asian settings.