cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.11069018
title: Genomic Typing, Antimicrobial Resistance Gene, Virulence Factor and Plasmid Replicon Dataset for the Important Pathogenic Bacteria Klebsiella pneumoniae
title: Genomic analysis of Klebsiella pneumoniae from Genbank

description: The infections caused by various bacterial pathogens both in clinical and community settings represent a significant threat to public healthcare worldwide. The growing resistance to antimicrobial drugs acquired by bacterial species causing healthcare-associated infections has already become a life-threatening danger noticed by the World Health Organization. Several groups or lineages of bacterial isolates usually called 'the clones of high risk' often drive the spread of resistance within particular species. 

Thus, it is vitally important to reveal and track the spread of such clones and the mechanisms by which they acquire antibiotic resistance and enhance their survival skills. Currently, the analysis of whole genome sequences for bacterial isolates of interest is increasingly used for these purposes, including epidemiological surveillance and developing of spread prevention measures. However, the availability and uniformity of the data derived from the genomic sequences often represents a bottleneck for such investigations. 

In this dataset, we present the results of a genomic epidemiology analysis of 61,857 genomes of a dangerous bacterial pathogen Klebsiella pneumoniae obtained from NCBI Genbank database. Important typing information including multilocus sequence typing (MLST)-based sequence types (STs), capsular (KL) and oligosaccharide (OL) types, CRISPR-Cas systems, and cgMLST profiles are presented, as well as the assignment of particular isolates to clonal groups (CG). The presence of antimicrobial resistance and virulence genes, as well as plasmid replicons, within the genomes is also reported. 

These data will be useful for researchers in the field of K. pneumoniae genomic epidemiology, resistance analysis and prevention measure development.
DOI: 10.5281/zenodo.11069019
title: Genomic epidemiology dataset for the important nosocomial pathogenic bacteria Klebsiella pneumoniae
title: Genomic analysis of Klebsiella pneumoniae from Genbank

description: The infections caused by various bacterial pathogens both in clinical and community settings represent a significant threat to public healthcare worldwide. The growing resistance to antimicrobial drugs acquired by bacterial species causing healthcare-associated infections has already become a life-threatening danger noticed by the World Health Organization. Several groups or lineages of bacterial isolates usually called 'the clones of high risk' often drive the spread of resistance within particular species. 

Thus, it is vitally important to reveal and track the spread of such clones and the mechanisms by which they acquire antibiotic resistance and enhance their survival skills. Currently, the analysis of whole genome sequences for bacterial isolates of interest is increasingly used for these purposes, including epidemiological surveillance and developing of spread prevention measures. However, the availability and uniformity of the data derived from the genomic sequences often represents a bottleneck for such investigations. 

In this dataset, we present the results of a genomic epidemiology analysis of 61,857 genomes of a dangerous bacterial pathogen Klebsiella pneumoniae obtained from NCBI Genbank database. Important typing information including multilocus sequence typing (MLST)-based sequence types (STs), capsular (KL) and oligosaccharide (OCL) types, CRISPR-Cas systems, and cgMLST profiles are presented, as well as the assignment of particular isolates to clonal groups (CG). The presence of antimicrobial resistance and virulence genes within the genomes is also reported. 

These data will be useful for researchers in the field of K. pneumoniae genomic epidemiology, resistance analysis and prevention measure development.
DOI: 10.5281/zenodo.13755682
title: Genomic epidemiology, antimicrobial resistance and virulence factor dataset for the important nosocomial pathogenic bacteria Klebsiella pneumoniae
title: Genomic analysis of Klebsiella pneumoniae from Genbank

description: The infections caused by various bacterial pathogens both in clinical and community settings represent a significant threat to public healthcare worldwide. The growing resistance to antimicrobial drugs acquired by bacterial species causing healthcare-associated infections has already become a life-threatening danger noticed by the World Health Organization. Several groups or lineages of bacterial isolates usually called 'the clones of high risk' often drive the spread of resistance within particular species. 

Thus, it is vitally important to reveal and track the spread of such clones and the mechanisms by which they acquire antibiotic resistance and enhance their survival skills. Currently, the analysis of whole genome sequences for bacterial isolates of interest is increasingly used for these purposes, including epidemiological surveillance and developing of spread prevention measures. However, the availability and uniformity of the data derived from the genomic sequences often represents a bottleneck for such investigations. 

In this dataset, we present the results of a genomic epidemiology analysis of 61,857 genomes of a dangerous bacterial pathogen Klebsiella pneumoniae obtained from NCBI Genbank database. Important typing information including multilocus sequence typing (MLST)-based sequence types (STs), capsular (KL) and oligosaccharide (OL) types, CRISPR-Cas systems, and cgMLST profiles are presented, as well as the assignment of particular isolates to clonal groups (CG). The presence of antimicrobial resistance and virulence genes within the genomes is also reported. 

These data will be useful for researchers in the field of K. pneumoniae genomic epidemiology, resistance analysis and prevention measure development.
DOI: 10.5281/zenodo.13821431
title: Genomic epidemiology, antimicrobial resistance and virulence factor dataset for the important nosocomial pathogenic bacteria Klebsiella pneumoniae
title: Genomic analysis of Klebsiella pneumoniae from Genbank

description: The infections caused by various bacterial pathogens both in clinical and community settings represent a significant threat to public healthcare worldwide. The growing resistance to antimicrobial drugs acquired by bacterial species causing healthcare-associated infections has already become a life-threatening danger noticed by the World Health Organization. Several groups or lineages of bacterial isolates usually called 'the clones of high risk' often drive the spread of resistance within particular species. 

Thus, it is vitally important to reveal and track the spread of such clones and the mechanisms by which they acquire antibiotic resistance and enhance their survival skills. Currently, the analysis of whole genome sequences for bacterial isolates of interest is increasingly used for these purposes, including epidemiological surveillance and developing of spread prevention measures. However, the availability and uniformity of the data derived from the genomic sequences often represents a bottleneck for such investigations. 

In this dataset, we present the results of a genomic epidemiology analysis of 61,857 genomes of a dangerous bacterial pathogen Klebsiella pneumoniae obtained from NCBI Genbank database. Important typing information including multilocus sequence typing (MLST)-based sequence types (STs), capsular (KL) and oligosaccharide (OL) types, CRISPR-Cas systems, and cgMLST profiles are presented, as well as the assignment of particular isolates to clonal groups (CG). The presence of antimicrobial resistance and virulence genes within the genomes is also reported. 

These data will be useful for researchers in the field of K. pneumoniae genomic epidemiology, resistance analysis and prevention measure development.
DOI: 10.5281/zenodo.13821452
title: Genomic epidemiology, antimicrobial resistance and virulence factor dataset for the important nosocomial pathogenic bacteria Klebsiella pneumoniae
title: Genomic analysis of Klebsiella pneumoniae from Genbank

description: The infections caused by various bacterial pathogens both in clinical and community settings represent a significant threat to public healthcare worldwide. The growing resistance to antimicrobial drugs acquired by bacterial species causing healthcare-associated infections has already become a life-threatening danger noticed by the World Health Organization. Several groups or lineages of bacterial isolates usually called 'the clones of high risk' often drive the spread of resistance within particular species. 

Thus, it is vitally important to reveal and track the spread of such clones and the mechanisms by which they acquire antibiotic resistance and enhance their survival skills. Currently, the analysis of whole genome sequences for bacterial isolates of interest is increasingly used for these purposes, including epidemiological surveillance and developing of spread prevention measures. However, the availability and uniformity of the data derived from the genomic sequences often represents a bottleneck for such investigations. 

In this dataset, we present the results of a genomic epidemiology analysis of 61,857 genomes of a dangerous bacterial pathogen Klebsiella pneumoniae obtained from NCBI Genbank database. Important typing information including multilocus sequence typing (MLST)-based sequence types (STs), capsular (KL) and oligosaccharide (OL) types, CRISPR-Cas systems, and cgMLST profiles are presented, as well as the assignment of particular isolates to clonal groups (CG). The presence of antimicrobial resistance and virulence genes within the genomes is also reported. 

These data will be useful for researchers in the field of K. pneumoniae genomic epidemiology, resistance analysis and prevention measure development.
DOI: 10.5281/zenodo.13826160
title: Genomic Typing, Antimicrobial Resistance Gene and Virulence Factor Dataset for the Important Pathogenic Bacteria Klebsiella pneumoniae
title: Genomic analysis of Klebsiella pneumoniae from Genbank

description: The infections caused by various bacterial pathogens both in clinical and community settings represent a significant threat to public healthcare worldwide. The growing resistance to antimicrobial drugs acquired by bacterial species causing healthcare-associated infections has already become a life-threatening danger noticed by the World Health Organization. Several groups or lineages of bacterial isolates usually called 'the clones of high risk' often drive the spread of resistance within particular species. 

Thus, it is vitally important to reveal and track the spread of such clones and the mechanisms by which they acquire antibiotic resistance and enhance their survival skills. Currently, the analysis of whole genome sequences for bacterial isolates of interest is increasingly used for these purposes, including epidemiological surveillance and developing of spread prevention measures. However, the availability and uniformity of the data derived from the genomic sequences often represents a bottleneck for such investigations. 

In this dataset, we present the results of a genomic epidemiology analysis of 61,857 genomes of a dangerous bacterial pathogen Klebsiella pneumoniae obtained from NCBI Genbank database. Important typing information including multilocus sequence typing (MLST)-based sequence types (STs), capsular (KL) and oligosaccharide (OL) types, CRISPR-Cas systems, and cgMLST profiles are presented, as well as the assignment of particular isolates to clonal groups (CG). The presence of antimicrobial resistance and virulence genes within the genomes is also reported. 

These data will be useful for researchers in the field of K. pneumoniae genomic epidemiology, resistance analysis and prevention measure development.
DOI: 10.5281/zenodo.14232547
title: Genomic Typing, Antimicrobial Resistance Gene, Virulence Factor and Plasmid Replicon Dataset for the Important Pathogenic Bacteria Klebsiella pneumoniae
title: Genomic analysis of Klebsiella pneumoniae from Genbank

description: The infections caused by various bacterial pathogens both in clinical and community settings represent a significant threat to public healthcare worldwide. The growing resistance to antimicrobial drugs acquired by bacterial species causing healthcare-associated infections has already become a life-threatening danger noticed by the World Health Organization. Several groups or lineages of bacterial isolates usually called 'the clones of high risk' often drive the spread of resistance within particular species. 

Thus, it is vitally important to reveal and track the spread of such clones and the mechanisms by which they acquire antibiotic resistance and enhance their survival skills. Currently, the analysis of whole genome sequences for bacterial isolates of interest is increasingly used for these purposes, including epidemiological surveillance and developing of spread prevention measures. However, the availability and uniformity of the data derived from the genomic sequences often represents a bottleneck for such investigations. 

In this dataset, we present the results of a genomic epidemiology analysis of 61,857 genomes of a dangerous bacterial pathogen Klebsiella pneumoniae obtained from NCBI Genbank database. Important typing information including multilocus sequence typing (MLST)-based sequence types (STs), capsular (KL) and oligosaccharide (OL) types, CRISPR-Cas systems, and cgMLST profiles are presented, as well as the assignment of particular isolates to clonal groups (CG). The presence of antimicrobial resistance and virulence genes, as well as plasmid replicons, within the genomes is also reported. 

These data will be useful for researchers in the field of K. pneumoniae genomic epidemiology, resistance analysis and prevention measure development.
DOI: 10.15468/dl.2wgfgv
title: Occurrence Download

description: A dataset containing 32740 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cocos nucifera L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 32740 records from 338 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061702-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t3hc5c
title: Occurrence Download

description: A dataset containing 82 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-66.26663 51.09034,-54.55258 51.09034,-54.55258 60.83442,-66.26663 60.83442,-66.26663 51.09034))",
 "HasGeospatialIssue is false",
 "TaxonKey is Platanthera dilatata (Pursh) Lindl. ex L.C.Beck"
 ]
}

 The dataset includes 82 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061703-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mey9nq
title: Occurrence Download

description: A dataset containing 3176 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Condalia hookeri M.C.Johnst.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3176 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061704-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.an8wme
title: Occurrence Download

description: A dataset containing 807 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "OccurrenceStatus is Present",
 "TaxonKey is Cantharellus cibarius Fr."
 ]
}

 The dataset includes 807 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061706-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5f769f
title: Occurrence Download

description: A dataset containing 964 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Fossil",
 "Continent is one of (Asia, North America)",
 "TaxonKey is Canis lupus Linnaeus, 1758"
 ]
}

 The dataset includes 964 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061705-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.828s9r
title: Occurrence Download

description: A dataset containing 582 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "OccurrenceStatus is Present",
 "TaxonKey is Clathrus P.Micheli ex L."
 ]
}

 The dataset includes 582 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061708-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q2jhr5
title: Occurrence Download

description: A dataset containing 944 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "OccurrenceStatus is Present",
 "TaxonKey is Pycnoporus sanguineus (L.) Murrill"
 ]
}

 The dataset includes 944 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061707-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s9tcsd
title: Occurrence Download

description: A dataset containing 185958 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Corvus corax Linnaeus, 1758"
 ]
 },
 "HasCoordinate is TRUE",
 "Year is greater than or equal to 2010",
 "Year is less than or equal to 2023",
 "DecimalLatitude is greater than or equal to 47.5",
 "DecimalLatitude is less than or equal to 60.1",
 "DecimalLongitude is greater than or equal to -99.0",
 "DecimalLongitude is less than or equal to -73.0",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 185958 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061673-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4utswg
title: Occurrence Download

description: A dataset containing 2905 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cordia sebestena L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2905 records from 105 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061709-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3vk2fb
title: Occurrence Download

description: A dataset containing 506 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gasteria obliqua (Aiton) Duval"
 ]
}

 The dataset includes 506 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008331-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ooqfnm
title: Occurrence Download

description: A dataset containing 65 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "TaxonKey is Psilotum nudum (L.) P.Beauv."
 ]
}

 The dataset includes 65 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044661-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zfxrxk
title: Occurrence Download

description: A dataset containing 3815 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Trimezia Salisb. ex Herb."
 ]
}

 The dataset includes 3815 records from 158 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0225610-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xmzpns
title: Occurrence Download

description: A dataset containing 124 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ficus indigofera Rech."
 ]
}

 The dataset includes 124 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008334-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.quc8jm
title: Occurrence Download

description: A dataset containing 4235 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Blackstonia acuminata (W.D.J.Koch & Ziz) Domin"
 ]
}

 The dataset includes 4235 records from 113 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0225598-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xcfsyk
title: Occurrence Download

description: A dataset containing 65 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "TaxonKey is Psilotum nudum (L.) P.Beauv."
 ]
}

 The dataset includes 65 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044663-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t23zng
title: Occurrence Download

description: A dataset containing 6609 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Remiz consobrinus (Swinhoe, 1870)"
 ]
}

 The dataset includes 6609 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008246-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f2xhe8
title: Occurrence Download

description: A dataset containing 1027799 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Données ONF faune-flore-fonge"
 ]
}

 The dataset includes 1027799 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0225587-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hn0voh
title: Occurrence Download

description: A dataset containing 483 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Triatoma gerstaeckeri (Stål, 1859)"
 ]
}

 The dataset includes 483 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044664-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.