cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1042629.09fu
title: SH1042629.09FU

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/sh1042630.09fu
title: SH1042630.09FU

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/sh1042631.09fu
title: SH1042631.09FU

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/sh1042632.09fu
title: SH1042632.09FU

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/sh1042633.09fu
title: SH1042633.09FU

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/sh1042634.09fu
title: SH1042634.09FU

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/sh1042635.09fu
title: SH1042635.09FU

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/sh1042636.09fu
title: SH1042636.09FU

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/sh1042637.09fu
title: SH1042637.09FU

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/sh1042638.09fu
title: SH1042638.09FU

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.xn6g9r
title: Occurrence Download

description: A dataset containing 132627 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aedes albopictus (Skuse, 1894)"
 ]
}

 The dataset includes 132627 records from 169 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021494-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wktm9b
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Stellaria congestiflora H.Hara",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 24 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0321497-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pawk67
title: Occurrence Download

description: A dataset containing 1140 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Perigonia lusca Fabricius, 1777"
 ]
}

 The dataset includes 1140 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072240-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wbvqed
title: Occurrence Download

description: A dataset containing 263 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cyathea lechleri Mett."
 ]
}

 The dataset includes 263 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0230485-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bx5jm8
title: Occurrence Download

description: A dataset containing 107 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Streptopus parviflorus Franch.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 107 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0321509-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2fywkz
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Verbena litoralis var. brasiliensis (Vell.) Briq. ex Munir"
 ]
}

 The dataset includes 24 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054887-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.26be74
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gomphus crassipes (Kuntze) Maire"
 ]
}

 The dataset includes 13 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0276970-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.agq25w
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is AVJNF: Søholt Storskov, bat survey by walking with a handheld detector"
 ]
}

 The dataset includes 25 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076322-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7ttayy
title: Occurrence Download

description: A dataset containing 68768 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is CNIN/Lepidoptera"
 ]
}

 The dataset includes 68768 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0286855-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9ja5gp
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-99.78418 43.61772,-98.96674 43.61772,-98.96674 44.39743,-99.78418 44.39743,-99.78418 43.61772))",
 "TaxonKey is Lomatium foeniculaceum (Nutt.) J.M.Coult. & Rose",
 "Year 2010-2021"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0302349-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g2oe3g
title: Occurrence Download

description: A dataset containing 569 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chamaecytisus hirsutus (L.) Link"
 ]
}

 The dataset includes 569 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008797-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7n387t
title: Occurrence Download

description: A dataset containing 13997 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Malaysia",
 "OccurrenceStatus is Present",
 "TaxonKey is Orchidaceae"
 ]
}

 The dataset includes 13997 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0239700-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rypxwm
title: Occurrence Download

description: A dataset containing 5635 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Machine Observation"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tapirus terrestris (Linnaeus, 1758)",
 "Year 1991-2021"
 ]
}

 The dataset includes 5635 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0286851-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2shsp5
title: Occurrence Download

description: A dataset containing 13746335 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "Year 2000-2021"
 ]
}

 The dataset includes 13746335 records from 1508 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0325169-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15475/dhz/kfn/1914/8/21#page-5
title: Inserate.

description: Das Vorhaben 'Digitalisierung historischer Zeitungen', in dessen Rahmen diese Daten generiert wurden, ist Teil des Projektes 'Deutsch-tschechisches Digital Humanities Labor zur grenzübergreifenden historischen Forschung' (2014-2015) der Universität Passau und der Südböhmischen Universität Budweis (CZ). Die gescannten Zeitungsbände wurden von der Bayerischen Staatsbibliothek München zur Verfügung gestellt.
DOI: 10.15475/dhz/kfn/1914/8/24#article-028f9d280f222da6edecb159502638fb
title: nach dem Konsul. Als auch dies erfolglos war, bat ich um ein Aufsichtsorgan. Alles vergeblich. Ic...

description: Das Vorhaben 'Digitalisierung historischer Zeitungen', in dessen Rahmen diese Daten generiert wurden, ist Teil des Projektes 'Deutsch-tschechisches Digital Humanities Labor zur grenzübergreifenden historischen Forschung' (2014-2015) der Universität Passau und der Südböhmischen Universität Budweis (CZ). Die gescannten Zeitungsbände wurden von der Bayerischen Staatsbibliothek München zur Verfügung gestellt.
DOI: 10.15475/dhz/kfn/1914/9/10#page-2
title: Handel nnd Verkehr.

description: Das Vorhaben 'Digitalisierung historischer Zeitungen', in dessen Rahmen diese Daten generiert wurden, ist Teil des Projektes 'Deutsch-tschechisches Digital Humanities Labor zur grenzübergreifenden historischen Forschung' (2014-2015) der Universität Passau und der Südböhmischen Universität Budweis (CZ). Die gescannten Zeitungsbände wurden von der Bayerischen Staatsbibliothek München zur Verfügung gestellt.
DOI: 10.15475/dhz/kfn/1914/9/10#page-3
title: Handel nnd Verkehr.

description: Das Vorhaben 'Digitalisierung historischer Zeitungen', in dessen Rahmen diese Daten generiert wurden, ist Teil des Projektes 'Deutsch-tschechisches Digital Humanities Labor zur grenzübergreifenden historischen Forschung' (2014-2015) der Universität Passau und der Südböhmischen Universität Budweis (CZ). Die gescannten Zeitungsbände wurden von der Bayerischen Staatsbibliothek München zur Verfügung gestellt.
DOI: 10.15475/dhz/kfn/1914/9/17#article-74cdd414c19b31e42270a70c103ff9dd
title: Vom westlichen Kriegsschauplatz.

description: Das Vorhaben 'Digitalisierung historischer Zeitungen', in dessen Rahmen diese Daten generiert wurden, ist Teil des Projektes 'Deutsch-tschechisches Digital Humanities Labor zur grenzübergreifenden historischen Forschung' (2014-2015) der Universität Passau und der Südböhmischen Universität Budweis (CZ). Die gescannten Zeitungsbände wurden von der Bayerischen Staatsbibliothek München zur Verfügung gestellt.
DOI: 10.15475/dhz/kfn/1914/9/17#article-d56f2767832600edc558cd6b36742dcd
title: offiziell der chinesischen Regierung den Aus­ bruch einer Revolution in Indien. Japan, um militär...

description: Das Vorhaben 'Digitalisierung historischer Zeitungen', in dessen Rahmen diese Daten generiert wurden, ist Teil des Projektes 'Deutsch-tschechisches Digital Humanities Labor zur grenzübergreifenden historischen Forschung' (2014-2015) der Universität Passau und der Südböhmischen Universität Budweis (CZ). Die gescannten Zeitungsbände wurden von der Bayerischen Staatsbibliothek München zur Verfügung gestellt.
DOI: 10.15475/dhz/kfn/1914/9/2#page-6
title: Die Erben Willmers-Gorlenko.

description: Das Vorhaben 'Digitalisierung historischer Zeitungen', in dessen Rahmen diese Daten generiert wurden, ist Teil des Projektes 'Deutsch-tschechisches Digital Humanities Labor zur grenzübergreifenden historischen Forschung' (2014-2015) der Universität Passau und der Südböhmischen Universität Budweis (CZ). Die gescannten Zeitungsbände wurden von der Bayerischen Staatsbibliothek München zur Verfügung gestellt.
DOI: 10.15475/dhz/kfn/1914/9/3#page-2
title: Kurier für Niederbayern: Landshuter Tag- und Anzeigenblatt; unabhängige Tageszeitung für Heimat und Volk

description: Das Vorhaben 'Digitalisierung historischer Zeitungen', in dessen Rahmen diese Daten generiert wurden, ist Teil des Projektes 'Deutsch-tschechisches Digital Humanities Labor zur grenzübergreifenden historischen Forschung' (2014-2015) der Universität Passau und der Südböhmischen Universität Budweis (CZ). Die gescannten Zeitungsbände wurden von der Bayerischen Staatsbibliothek München zur Verfügung gestellt.
DOI: 10.15475/dhz/kfn/1914/9/30#page-3
title: Letzte Posten.

description: Das Vorhaben 'Digitalisierung historischer Zeitungen', in dessen Rahmen diese Daten generiert wurden, ist Teil des Projektes 'Deutsch-tschechisches Digital Humanities Labor zur grenzübergreifenden historischen Forschung' (2014-2015) der Universität Passau und der Südböhmischen Universität Budweis (CZ). Die gescannten Zeitungsbände wurden von der Bayerischen Staatsbibliothek München zur Verfügung gestellt.
DOI: 10.15475/dhz/kfn/1914/9/5#article-10e5ded1f7e4cb3e3993a153d19a1f00
title: Tages-Übersicht.

description: Das Vorhaben 'Digitalisierung historischer Zeitungen', in dessen Rahmen diese Daten generiert wurden, ist Teil des Projektes 'Deutsch-tschechisches Digital Humanities Labor zur grenzübergreifenden historischen Forschung' (2014-2015) der Universität Passau und der Südböhmischen Universität Budweis (CZ). Die gescannten Zeitungsbände wurden von der Bayerischen Staatsbibliothek München zur Verfügung gestellt.