cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.2908/hlth_cd_ptpyll
title: Causes of death - potential years of life lost by treatable and preventable diseases
title: Causes de décès - années potentielles de vie perdues en raison de maladies traitables et évitables
title: Todesursachen – durch behandelbare und vermeidbare Krankheiten verlorene potenzielle Lebensjahre

description: Estimation of the potential years lost due to preventable or treatable causes, meaning premature death before the age of 70 or 75, according to the country where the person resided, and by sex. It is calculated by summing the number of years between the age at death and 70 or 75 years for each premature death. PYLL rate is expressed per 100 000 age-standardised population under 70 or under 75. The selected preventableand tratable causes of death are coded according to the 10th revision of the International Statistical Classification of Diseases and Related Health Problems (ICD-10).See annex 'Specifications of the public health theme tables' in the metadata for further information on treatable and preventable causes.
description: Schätzung der aufgrund vermeidbarer und behandelbarer Ursachen verlorenen Jahre, d. h. durch vorzeitigen Tod vor Vollendung des 70. bzw. 75. Lebensjahres, nach Land, in dem die Person ansässig war, und nach Geschlecht. Dabei werden die Jahre zwischen dem Alter zum Zeitpunkt des Todes und 70 bzw. 75 Jahren für jeden vorzeitigen Todesfall zusammengerechnet. Die PYLL-Rate (potenzielle verlorene Lebensjahre) wird altersstandardisiert pro 100 000 Personen unter 70 bzw. unter 75 Jahren ausgedrückt. Die vermeidbaren und behandelbaren Todesursachen werden gemäß der 10. Revision der Internationalen statistischen Klassifikation der Krankheiten und verwandter Gesundheitsprobleme (ICD-10) kodiert.Weitere Informationen zu behandelbaren und vermeidbaren Ursachen sind den Metadaten im Anhang „Specifications of the public health theme tables“ („Spezifikationen zu den Tabellen zum Thema öffentliche Gesundheit“) zu entnehmen.
description: Estimation des années potentielles perdues en raison de causes évitables ou traitables, c’est-à-dire d’un décès prématuré avant l’âge de 70 ou 75 ans, par pays de résidence de la personne et par sexe. Elle correspond au total du nombre d’années entre l’âge au moment du décès et 70 ou 75 ans pour chaque décès prématuré. Le taux d’APVP est exprimé pour une population standardisée par âge de 100 000 personnes de moins de 70 ans ou de moins de 75 ans. Les causes de décès évitables et traitables sélectionnées sont codées conformément à la 10e révision de la classification statistique internationale des maladies et des problèmes de santé connexes (CIM-10).Voir l’annexe «Specifications of the public health theme tables» (Spécifications relatives aux tableaux sur le thème de la santé publique) dans les métadonnées pour en savoir plus sur les causes évitables et traitables.
DOI: 10.2908/hlth_cd_ypyll
title: Todesursachen nach NUTS-2-Region - Potenziell verlorene Lebensjahre von Einwohnern
title: Causes de décès - années potentielles de vie perdues par région NUTS 2 de résidence
title: Causes of death - potential years of life lost by NUTS 2 region of residence

description: Estimation of the potential years lost due to premature death, meaning death before the age of 70 or 75, according to the region where the person resided, the registered causes of death and by sex. It is calculated by summing the number of years between the age at death and 70 or 75 years for each premature death. PYLL rate is expressed per 100 000 age-standardised population under 70 or under 75. Causes of death are coded according to the 10th revision of the International Statistical Classification of Diseases and Related Health Problems (ICD-10).
description: Schätzung der durch vorzeitigen Tod verlorenen Jahre, d. h. durch Tod vor Vollendung des 70. bzw. 75. Lebensjahres, nach Region, in der die Person ansässig war, nach registrierten Ursachen und nach Geschlecht. Dabei werden die Jahre zwischen dem Alter zum Zeitpunkt des Todes und 70 bzw. 75 Jahren für jeden vorzeitigen Todesfall zusammengerechnet. Die PYLL-Rate (potenzielle verlorene Lebensjahre) wird altersstandardisiert pro 100 000 Personen unter 70 bzw. unter 75 Jahren ausgedrückt. Todesursachen werden gemäß der 10. Revision der Internationalen statistischen Klassifikation der Krankheiten und verwandter Gesundheitsprobleme (ICD-10) kodiert.
description: Estimation des années potentielles perdues en raison d’un décès prématuré, c’est-à-dire avant l’âge de 70 ou 75 ans, par région de résidence de la personne, par cause enregistrée du décès et par sexe. Elle correspond au total du nombre d’années entre l’âge au moment du décès et 70 ou 75 ans pour chaque décès prématuré. Le taux d’APVP est exprimé pour une population standardisée par âge de 100 000 personnes de moins de 70 ans ou de moins de 75 ans. Les causes de décès sont codées conformément à la 10e révision de la classification statistique internationale des maladies et des problèmes de santé connexes (CIM-10).
DOI: 10.6084/m9.figshare.31267474
title: Genomic and Evolutionary Insights into Host-Specific Adaptation in <i>Brucella melitensis</i> Across Human and Animal Hosts

description: <b>Background.</b> <i>Brucella melitensis</i> is a major cause of brucellosis in humans and livestock worldwide, yet the genomic basis by which this largely conserved pathogen persists across distinct host environments remains incompletely understood. We aimed to characterize global population structure, the directionality of host transitions within the sampled host system, and whether host-type-associated genomic differentiation converges on specific functional pathways.<b>Methods. </b>We assembled and curated 754 publicly available <i>B. melitensis</i> genomes, generating staged datasets to balance breadth and metadata completeness. A recombination-filtered core SNP alignment from 543 genomes was used to reconstruct maximum-likelihood phylogeny and genotype structure. A subset of 192 genomes with complete host, location, and sampling year metadata was analyzed using strict-clock Bayesian phylodynamics to infer time-scaled history, demographic change, and host-transition dynamics under a BSSVS framework. Host-type-associated selection signals were assessed by integrating multiple statistics (F_ST, nucleotide diversity π and π-ratio, ΔAF, and gene-wise pN/pS; XP-EHH reported as exploratory), followed by functional annotation and KEGG pathway enrichment.<b>Results.</b> Global phylogenomic analyses resolved five well-supported genotypes with extensive lineage sharing between humans and livestock hosts. Time-calibrated inference supported predominantly twentieth-century diversification and a recent expansion signal, while discrete-trait analyses indicated a livestock-dominated transmission network with strong connectivity among small ruminants and cattle; putative rodent-linked transitions were detected but remain tentative due to sparse wildlife sampling. Despite similar genome-wide SNP burdens and broadly conserved mutation spectra across hosts, multi-method selection scans identified a restricted set of genomic regions showing consistent human–animal differentiation. Candidate genes were enriched in pathways related to membrane remodeling and CAMP resistance, base excision repair and stress tolerance, central carbon metabolism, and sulfur-dependent redox homeostasis.<b>Conclusion. </b>These results support a model in which cross-host persistence of <i>B. melitensis</i> is underpinned not by genome-wide divergence, but by pathway-level fine-tuning at a limited set of loci against a conserved genomic background, while emphasizing that inferences about wildlife-mediated routes require more systematic sampling.
DOI: 10.6084/m9.figshare.31267474.v2
title: Genomic and Evolutionary Insights into Host-Specific Adaptation in <i>Brucella melitensis</i> Across Human and Animal Hosts

description: <b>Background.</b> <i>Brucella melitensis</i> is a major cause of brucellosis in humans and livestock worldwide, yet the genomic basis by which this largely conserved pathogen persists across distinct host environments remains incompletely understood. We aimed to characterize global population structure, the directionality of host transitions within the sampled host system, and whether host-type-associated genomic differentiation converges on specific functional pathways.<b>Methods. </b>We assembled and curated 754 publicly available <i>B. melitensis</i> genomes, generating staged datasets to balance breadth and metadata completeness. A recombination-filtered core SNP alignment from 543 genomes was used to reconstruct maximum-likelihood phylogeny and genotype structure. A subset of 192 genomes with complete host, location, and sampling year metadata was analyzed using strict-clock Bayesian phylodynamics to infer time-scaled history, demographic change, and host-transition dynamics under a BSSVS framework. Host-type-associated selection signals were assessed by integrating multiple statistics (F_ST, nucleotide diversity π and π-ratio, ΔAF, and gene-wise pN/pS; XP-EHH reported as exploratory), followed by functional annotation and KEGG pathway enrichment.<b>Results.</b> Global phylogenomic analyses resolved five well-supported genotypes with extensive lineage sharing between humans and livestock hosts. Time-calibrated inference supported predominantly twentieth-century diversification and a recent expansion signal, while discrete-trait analyses indicated a livestock-dominated transmission network with strong connectivity among small ruminants and cattle; putative rodent-linked transitions were detected but remain tentative due to sparse wildlife sampling. Despite similar genome-wide SNP burdens and broadly conserved mutation spectra across hosts, multi-method selection scans identified a restricted set of genomic regions showing consistent human–animal differentiation. Candidate genes were enriched in pathways related to membrane remodeling and CAMP resistance, base excision repair and stress tolerance, central carbon metabolism, and sulfur-dependent redox homeostasis.<b>Conclusion. </b>These results support a model in which cross-host persistence of <i>B. melitensis</i> is underpinned not by genome-wide divergence, but by pathway-level fine-tuning at a limited set of loci against a conserved genomic background, while emphasizing that inferences about wildlife-mediated routes require more systematic sampling.
DOI: 10.6084/m9.figshare.31267474.v1
title: Genomic and Evolutionary Insights into Host-Specific Adaptation in <i>Brucella melitensis</i> Across Human and Animal Hosts

description: <b>Background.</b> <i>Brucella melitensis</i> is a major cause of brucellosis in humans and livestock worldwide, yet the genomic basis by which this largely conserved pathogen persists across distinct host environments remains incompletely understood. We aimed to characterize global population structure, the directionality of host transitions within the sampled host system, and whether host-type-associated genomic differentiation converges on specific functional pathways.<b>Methods. </b>We assembled and curated 754 publicly available <i>B. melitensis</i> genomes, generating staged datasets to balance breadth and metadata completeness. A recombination-filtered core SNP alignment from 543 genomes was used to reconstruct maximum-likelihood phylogeny and genotype structure. A subset of 192 genomes with complete host, location, and sampling year metadata was analyzed using strict-clock Bayesian phylodynamics to infer time-scaled history, demographic change, and host-transition dynamics under a BSSVS framework. Host-type-associated selection signals were assessed by integrating multiple statistics (F_ST, nucleotide diversity π and π-ratio, ΔAF, and gene-wise pN/pS; XP-EHH reported as exploratory), followed by functional annotation and KEGG pathway enrichment.<b>Results.</b> Global phylogenomic analyses resolved five well-supported genotypes with extensive lineage sharing between humans and livestock hosts. Time-calibrated inference supported predominantly twentieth-century diversification and a recent expansion signal, while discrete-trait analyses indicated a livestock-dominated transmission network with strong connectivity among small ruminants and cattle; putative rodent-linked transitions were detected but remain tentative due to sparse wildlife sampling. Despite similar genome-wide SNP burdens and broadly conserved mutation spectra across hosts, multi-method selection scans identified a restricted set of genomic regions showing consistent human–animal differentiation. Candidate genes were enriched in pathways related to membrane remodeling and CAMP resistance, base excision repair and stress tolerance, central carbon metabolism, and sulfur-dependent redox homeostasis.<b>Conclusion. </b>These results support a model in which cross-host persistence of <i>B. melitensis</i> is underpinned not by genome-wide divergence, but by pathway-level fine-tuning at a limited set of loci against a conserved genomic background, while emphasizing that inferences about wildlife-mediated routes require more systematic sampling.
DOI: 10.15156/bio/sh0156051.10fu
title: SH0156051.10FU

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/sh0156052.10fu
title: SH0156052.10FU

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/sh0156053.10fu
title: SH0156053.10FU

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/sh0156054.10fu
title: SH0156054.10FU

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/sh0156055.10fu
title: SH0156055.10FU

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/sh0156056.10fu
title: SH0156056.10FU

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: 10.15468/dl.jpymm5
title: Occurrence Download

description: A dataset containing 16876 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Saudi Arabia",
 "DatasetKey is EOD – eBird Observation Dataset",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Scolopacidae",
 "Year 2002-2025"
 ]
}

 The dataset includes 16876 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000838-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0156057.10fu
title: SH0156057.10FU

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/sh0156058.10fu
title: SH0156058.10FU

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: 10.15468/dl.m4krcx
title: Occurrence Download

description: A dataset containing 156 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Rosa brunonii"
 ]
}

 The dataset includes 156 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000840-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.