cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.72vwzr
title: Occurrence Download

description: A dataset containing 660 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bothrocara tanakae (Jordan & Hubbs, 1925)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 660 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057894-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.24355/dbbs.084-202410280909-0
title: Genome sequence and annotation of Aquilegia vulgaris

description: A high quality genome sequence of Aquilegia vulgaris is presented together with predicted polypeptide sequences and a functional annoation. The genome sequence was assembled based on ONT long reads using NextDenvo. GeMoMa was used for the annotation of protein encoding genes.
DOI: 10.21942/uva.28082675
title: Database <i>Pas d'armes</i> and Late Medieval Chivalry

description: The database contains details of all <i>pas d’armes</i> held between <i>c.</i>1420 and <i>c.</i>1520.. This was a highly ritualised form of tournament that was very popular in the fifteenth and early sixteenth centuries in Anjou, the Burgundian lands, France, Iberia, and Savoy, even reaching as far as Scotland. The details concern exact dates and locations, names of <i>entrepreneurs</i> and challengers, composition of teams, type of combat, theatrical scenario, ephemeral architecture, guests and spectators, etc.. The database can be searched by <b>Events</b>, i.e. all such tournaments that we have classified as<i> </i><i>pas d’armes</i>; <b>People</b>, i.e. all persons involved in the pas d’armes as combatants, judges, spectators, guests, etc.; and <b>Locations</b>, i.e. all towns, villages, castles and other places where these events took place.
DOI: 10.21942/uva.28082675.v2
title: Database <i>Pas d'armes</i> and Late Medieval Chivalry

description: The database contains details of all <i>pas d’armes</i> held between <i>c.</i>1420 and <i>c.</i>1520.. This was a highly ritualised form of tournament that was very popular in the fifteenth and early sixteenth centuries in Anjou, the Burgundian lands, France, Iberia, and Savoy, even reaching as far as Scotland. The details concern exact dates and locations, names of <i>entrepreneurs</i> and challengers, composition of teams, type of combat, theatrical scenario, ephemeral architecture, guests and spectators, etc.. The database can be searched by <b>Events</b>, i.e. all such tournaments that we have classified as<i> </i><i>pas d’armes</i>; <b>People</b>, i.e. all persons involved in the pas d’armes as combatants, judges, spectators, guests, etc.; and <b>Locations</b>, i.e. all towns, villages, castles and other places where these events took place.
DOI: 10.21942/uva.28082675.v1
title: Database <i>Pas d'armes</i> and Late Medieval Chivalry

description: The database contains details of all <i>pas d’armes</i> held between <i>c.</i>1420 and <i>c.</i>1520.. This was a highly ritualised form of tournament that was very popular in the fifteenth and early sixteenth centuries in Anjou, the Burgundian lands, France, Iberia, and Savoy, even reaching as far as Scotland. The details concern exact dates and locations, names of <i>entrepreneurs</i> and challengers, composition of teams, type of combat, theatrical scenario, ephemeral architecture, guests and spectators, etc.. The database can be searched by <b>Events</b>, i.e. all such tournaments that we have classified as<i> </i><i>pas d’armes</i>; <b>People</b>, i.e. all persons involved in the pas d’armes as combatants, judges, spectators, guests, etc.; and <b>Locations</b>, i.e. all towns, villages, castles and other places where these events took place.
DOI: 10.15468/dl.hjws37
title: Occurrence Download

description: A dataset containing 30533 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((35.25475 38.20063,35.38143 38.31392,35.34976 38.43531,35.15095 38.42428,35.08585 38.37188,35.09112 38.30288,35.19669 38.20202,35.25475 38.20063))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 30533 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057899-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25934/pr00010961
title: Mycobacterium tuberculosis (MTB) drug resistance surveillance in the environment (wastewater).

description: My research team focuses on the surveillance of antimicrobial resistance genes in wastewater from several open drains and STPs in Delhi and Sonipat. This has been going on for 2 years now, and now we have a record of which AMR genes are present at different time points in these sites, found using NGS and AMR panels. We are also currently quantifying these genes using digital PCR. All of these help in understanding the AMR load in the environment and early detection of possible epidemics and pandemics, helping in better management and prevention of the spread of diseases. During this research, we were able to observe a lot of rifampicin resistance genes in the wastewater and since there is a surge in MDR TB in the clinical setting, our current research focus now is to know if these genes are from MTB. We would also like to do surveillance on Bedaquiline resistance as it is one of the recently approved drugs against MDR TB. This will help in getting a big picture of the MTB drug resistance prevalence not only in the regions across the selected wastewater sites of Delhi and Sonipat, but also in understanding MTB resistance as a whole. This helps in bringing more alert and management against the spread of TB resistance, which will help in saving people from fatal TB.
DOI: 10.15468/dl.4pgg85
title: Occurrence Download

description: A dataset containing 23815442 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "Geometry POLYGON((71.00034 11.86953,85.32285 11.86953,85.32285 23.22713,71.00034 23.22713,71.00034 11.86953))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 23815442 records from 814 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057889-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m8jxfx
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Zestichthys tanakae Jordan & Hubbs, 1925",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057900-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qe29te
title: Occurrence Download

description: A dataset containing 225 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Seriola dumerili (Risso, 1810)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 225 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057902-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.npmwyx
title: Occurrence Download

description: A dataset containing 140 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Seriola lalandi Valenciennes, 1833",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 140 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057903-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9xvz8r
title: Occurrence Download

description: A dataset containing 418 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Elaphurus davidianus Milne-Edwards, 1866"
 ]
}

 The dataset includes 418 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057904-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e7fwg9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Seriola carpenteri Mather, 1971",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057906-241126133413365/datasets/export for details.
DOI: 10.15468/dl.adez3w
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Alces alces (Linnaeus, 1758)",
 "Year 2025-2025"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057905-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28089713
title: Li_JGROceans_Submission2

description: The dataset used in "Estuarine sediment dynamics influenced by successive typhoons II."
DOI: 10.6084/m9.figshare.28089713.v1
title: Li_JGROceans_Submission2

description: The dataset used in "Estuarine sediment dynamics influenced by successive typhoons II."
DOI: 10.15468/dl.q3ksub
title: Occurrence Download

description: A dataset containing 206 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lophius litulon (Jordan, 1902)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 206 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057907-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u9tapf
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lophiomus litulon Jordan, 1902",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057909-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j8cmsa
title: Occurrence Download

description: A dataset listing the 208 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Homoscleromorpha"
 ]
}

 The dataset's 208 records were derived from 159 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057895-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dq274f
title: Occurrence Download

description: A dataset containing 1260 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Didymodon asperifolius (Mitt.) H.A.Crum, Steere & L.E.Anderson"
 ]
}

 The dataset includes 1260 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057910-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a86sgk
title: Occurrence Download

description: A dataset containing 612 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Picea smithiana (Wall.) Boiss."
 ]
}

 The dataset includes 612 records from 102 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057912-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d4674w
title: Occurrence Download

description: A dataset containing 180 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Circe scripta",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is one of (Absent)"
 ]
 }
 }
 ]
}

 The dataset includes 180 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007081-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d4c9k5
title: Occurrence Download

description: A dataset containing 727 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scleria distans Poir.",
 "Continent is Africa"
 ]
}

 The dataset includes 727 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005450-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1202573.10fu
title: SH1202573.10FU

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/sh1202575.10fu
title: SH1202575.10FU

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/sh1202576.10fu
title: SH1202576.10FU

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/sh1202577.10fu
title: SH1202577.10FU

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/sh1202579.10fu
title: SH1202579.10FU

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/sh1202583.10fu
title: SH1202583.10FU

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/sh1202585.10fu
title: SH1202585.10FU

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/sh1202586.10fu
title: SH1202586.10FU

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/sh1202588.10fu
title: SH1202588.10FU

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.