cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1040633.09fu
title: SH1040633.09FU

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/sh1040634.09fu
title: SH1040634.09FU

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/sh1040635.09fu
title: SH1040635.09FU

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/sh1040636.09fu
title: SH1040636.09FU

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/sh1040637.09fu
title: SH1040637.09FU

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/sh1040638.09fu
title: SH1040638.09FU

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/sh1040639.09fu
title: SH1040639.09FU

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/sh1040640.09fu
title: SH1040640.09FU

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/sh1040641.09fu
title: SH1040641.09FU

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.ktwd7q
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Otostegia ericoidea Ryding"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065722-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.37rjk5
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pachycarpus spurius (N.E.Br.) Bullock"
 ]
}

 The dataset includes 42 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065725-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.txcvzv
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Parrya runcinata (Regel & Schmalh.) N.Busch"
 ]
}

 The dataset includes 27 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065724-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xqrmfs
title: Occurrence Download

description: A dataset containing 2402 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Osmanthus heterophyllus (G.Don) P.S.Green"
 ]
}

 The dataset includes 2402 records from 168 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065723-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nw9utu
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Panicum palackyanum A.Camus"
 ]
}

 The dataset includes 8 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065726-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7e5sb8
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Otostegia erlangeri Gürke"
 ]
}

 The dataset includes 10 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065729-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6rentg
title: Occurrence Download

description: A dataset containing 8762 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oplismenus burmanni (Retz.) P.Beauv."
 ]
}

 The dataset includes 8762 records from 358 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065728-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2bc6j8
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Parrya sarawschanica (Regel & Schmalh.) D.A.German & Al-Shehbaz"
 ]
}

 The dataset includes 14 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065731-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vxptq3
title: Occurrence Download

description: A dataset containing 1595 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Panicum pansum Rendle"
 ]
}

 The dataset includes 1595 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065733-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eaxkxh
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pachycarpus stelliceps N.E.Br."
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065732-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pe4cuj
title: Occurrence Download

description: A dataset containing 457 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Osmanthus insularis Koidz."
 ]
}

 The dataset includes 457 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065734-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qzcamz
title: Occurrence Download

description: A dataset containing 16946 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Helianthus annuus L.",
 "Country is one of (United States of America, Canada)",
 "Year is greater than or equal to 1979"
 ]
}

 The dataset includes 16946 records from 177 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065727-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tsbahr
title: Occurrence Download

description: A dataset containing 285 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Otostegia fruticosa (Forssk.) Schweinf. ex Penzig"
 ]
}

 The dataset includes 285 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065735-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bum8kh
title: Occurrence Download

description: A dataset containing 278654 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Veronica serpyllifolia L."
 ]
}

 The dataset includes 278654 records from 1706 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065702-240321170329656/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/1914/11/12#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/1914/11/17#page-7
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/1914/11/18#article-377f5525f8b2ed7da48ab9a3472a70df
title: Unsere "Vettern".

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/1914/11/18#article-b5b3164accf6c8b7131d2194e15c5c77
title: Niederbayerische Nachrichten.

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/1914/11/2#article-9dc2c9099de3aeac24fb90d3037618c1
title: Demission des italienischen Ministeriums.

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/1914/11/20#article-3f0ad6efa49558fb1993a1792b9c7c12
title: Deutschland und Japan.

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/1914/11/9#page-4
title: Bekanntmachung.

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/1914/12/17#article-2157453f43879a9e4893e9b7d67b0f82
title: Tie Wachen werden noch einmal genau in­ struiert. Tas Stroh ist weiche meine Gedanken sind hart. ...

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/1914/12/19#article-80e637a3ad680b8926cc3181565ee17e
title: Vor Akaba.

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/1914/12/19#page-3
title: Literarisches.

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/1914/12/24#page-2
title: Auszug aus den Zivilstandsregistern des Standesamtes Landshut.

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/1914/12/27#article-ac241faeceba6bd6f32e4f372bc8b9fb
title: Am Freitag wurde berichtet: WTB. Berlin, 25. Dezember, mittags. (Großes Hauptquartier.)

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/1914/4/16#page-4
title: Briefkasten der Redaktion.

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.