cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1877222.08fu
title: SH1877222.08FU

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/sh2854261.08fu
title: SH2854261.08FU

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/sh2854262.08fu
title: SH2854262.08FU

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/sh2854263.08fu
title: SH2854263.08FU

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/sh1877223.08fu
title: SH1877223.08FU

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/sh1877224.08fu
title: SH1877224.08FU

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/sh2854264.08fu
title: SH2854264.08FU

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/sh2854265.08fu
title: SH2854265.08FU

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/sh1877225.08fu
title: SH1877225.08FU

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/sh1877226.08fu
title: SH1877226.08FU

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.46pwhc
title: Occurrence Download

description: A dataset containing 168 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((112.32861 23.95679,112.80322 23.4646,113.34815 23.37671,114.20947 23.16577,116.47705 23.35913,117.8877 24.4292,119.13135 25.80249,120.1333 27.2439,120.44971 29.68726,119.46533 32.23608,117.18018 32.85132,115.36963 32.85132,113.96338 32.71069,112.06494 32.11304,111.01025 28.89624,111.23877 26.61108,111.2915 25.64429,112.32861 23.95679))",
 "TaxonKey is Merops viridis Linnaeus, 1758"
 ]
}

 The dataset includes 168 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034854-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ujbpdp
title: Occurrence Download

description: A dataset containing 88547 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Year 2000-2018",
 "Geometry POLYGON((-116.81882 32.41721,-116.97181 27.97294,-107.28237 19.23407,-88.72377 11.32293,-85.08407 6.071,-78.66901 7.02594,-76.96523 7.96815,-76.82071 10.57658,-81.80675 11.80481,-81.53121 16.79215,-86.0443 17.09713,-84.81442 20.71384,-87.95616 22.33126,-95.64056 22.29317,-96.4119 27.16303,-101.19713 31.02881,-104.57383 29.47148,-105.85945 32.30513,-108.41867 31.43431,-108.41867 31.43431,-116.81882 32.41721))",
 "HasCoordinate is true",
 "TaxonKey is Mammalia",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 88547 records from 106 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008575-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e7bzcb
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Noccaea andersonii (Hook.f. & Thomson) Al-Shehbaz",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 16 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0320818-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fhpp9v
title: Occurrence Download

description: A dataset containing 31044 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sorghum halepense (L.) Pers."
 ]
}

 The dataset includes 31044 records from 575 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0325449-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2wfn3a
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Androsace geraniifolia Watt ex Hook.f., 1882",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0321752-200613084148143/datasets/export for details.
DOI: 10.15468/dl.8acrs3
title: Occurrence Download

description: A dataset containing 176 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Kerivoula picta (Pallas, 1767)"
 ]
}

 The dataset includes 176 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0316690-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.oty2v8
title: Occurrence Download

description: A dataset containing 2519 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aloysia gratissima (Gillies & Hook.) Tronc."
 ]
}

 The dataset includes 2519 records from 128 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008575-190320150433242/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bcz5xz
title: Occurrence Download

description: A dataset containing 9717 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lemuridae"
 ]
}

 The dataset includes 9717 records from 105 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009257-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f3dwx3
title: Occurrence Download

description: A dataset containing 70055 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Asparagus officinalis L."
 ]
}

 The dataset includes 70055 records from 642 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0287517-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.1fmoik
title: Occurrence Download

description: A dataset containing 16167 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Allium kingdonii Stearn",
 "TaxonKey is Aconitum heterophyllum Wall. ex Royle",
 "TaxonKey is Aconitum kongboense Lauener",
 "TaxonKey is Aconitum liljestrandii Hand.-Mazz.",
 "TaxonKey is Aconitum ludlowii Exell",
 "TaxonKey is Aconitum naviculare (Brühl) Stapf",
 "TaxonKey is Aconitum tsaii W.T.Wang",
 "TaxonKey is Delphinium afghanicum Rech.fil.",
 "TaxonKey is Delphinium bulleyanum Forrest ex Diels",
 "TaxonKey is Delphinium caeruleum Jacquem. ex Cambess.",
 "TaxonKey is Delphinium cashmerianum Royle",
 "TaxonKey is Delphinium chrysotrichum Finet & Gagnep.",
 "TaxonKey is Delphinium muliense W.T.Wang",
 "TaxonKey is Delphinium pachycentrum Hemsl.",
 "TaxonKey is Delphinium viscosum Hook.fil. & Thomson",
 "TaxonKey is Gentiana grata Harry Sm.",
 "TaxonKey is Gentiana phyllocalyx C.B.Clarke",
 "TaxonKey is Pedicularis brachystachys Bunge",
 "TaxonKey is Pedicularis flexuosa Hook.fil.",
 "TaxonKey is Pedicularis mollis Wall. ex Benth.",
 "TaxonKey is Pedicularis strobilacea Franch.",
 "TaxonKey is Pedicularis tsekouensis Bonati",
 "TaxonKey is Pomatosace filicula Maxim.",
 "TaxonKey is Rhododendron redowskianum Maxim.",
 "TaxonKey is Salix eastwoodiae Cockerell ex A.Heller",
 "TaxonKey is Salix polaris Wahlenb.",
 "TaxonKey is Saxifraga adscendens L.",
 "TaxonKey is Saxifraga cernua L.",
 "TaxonKey is Saxifraga diapensia HarrySm.",
 "TaxonKey is Saxifraga eschscholtzii Sternb.",
 "TaxonKey is Saxifraga hispidula D.Don"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 16167 records from 127 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008575-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/t3fh-dm52
title: Baca Lake diatom dataset

description: Raw data for the Baca Lake diatom dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.5281/zenodo.5768097
title: Sample based prevalence data complementing the European Union One Health 2020 Zoonoses Report - Norway

description: This dataset contains monitoring data on zoonoses and zoonotic agents under the Directive 2003/99/EC. This Directive requires Member Sates (MSs) to collect, evaluate and report data on zoonoses and zoonotic agents. MSs can also report monitoring data and information on some other pathogenic microbiological agents in foodstuffs. Relevant EU legislation: Commission Regulation (EC) No 2073/2005,Commission Regulation (EC) No 1441/2007, Commission Regulation (EU) No 1086/2011, Commission Regulation (EU) No 209/2013, Commission Regulation(EU) No 217/2014.
description: EU; csv; zoonoses_support:efsa.europa.eu
DOI: 10.5281/zenodo.5768136
title: Sample based prevalence data complementing the European Union One Health 2020 Zoonoses Report - the United kingdom

description: This dataset contains monitoring data on zoonoses and zoonotic agents under the Directive 2003/99/EC. This Directive requires Member Sates (MSs) to collect, evaluate and report data on zoonoses and zoonotic agents. MSs can also report monitoring data and information on some other pathogenic microbiological agents in foodstuffs. Relevant EU legislation: Commission Regulation (EC) No 2073/2005,Commission Regulation (EC) No 1441/2007, Commission Regulation (EU) No 1086/2011, Commission Regulation (EU) No 209/2013, Commission Regulation(EU) No 217/2014.
description: EU; csv; zoonoses_support:efsa.europa.eu
DOI: 10.21233/79ea-2t08
title: Back Lake diatom dataset

description: Raw data for the Back Lake diatom dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.5281/zenodo.5768096
title: Sample based prevalence data complementing the European Union One Health 2020 Zoonoses Report - Norway

description: This dataset contains monitoring data on zoonoses and zoonotic agents under the Directive 2003/99/EC. This Directive requires Member Sates (MSs) to collect, evaluate and report data on zoonoses and zoonotic agents. MSs can also report monitoring data and information on some other pathogenic microbiological agents in foodstuffs. Relevant EU legislation: Commission Regulation (EC) No 2073/2005,Commission Regulation (EC) No 1441/2007, Commission Regulation (EU) No 1086/2011, Commission Regulation (EU) No 209/2013, Commission Regulation(EU) No 217/2014.
description: EU; csv; zoonoses_support:efsa.europa.eu
DOI: 10.5281/zenodo.5768113
title: Sample based prevalence data complementing the European Union One Health 2020 Zoonoses Report - Luxembourg

description: This dataset contains monitoring data on zoonoses and zoonotic agents under the Directive 2003/99/EC. This Directive requires Member Sates (MSs) to collect, evaluate and report data on zoonoses and zoonotic agents. MSs can also report monitoring data and information on some other pathogenic microbiological agents in foodstuffs. Relevant EU legislation: Commission Regulation (EC) No 2073/2005,Commission Regulation (EC) No 1441/2007, Commission Regulation (EU) No 1086/2011, Commission Regulation (EU) No 209/2013, Commission Regulation(EU) No 217/2014.
description: EU; csv; zoonoses_support:efsa.europa.eu
DOI: 10.5281/zenodo.5768133
title: Sample based prevalence data complementing the European Union One Health 2020 Zoonoses Report - Sweden

description: This dataset contains monitoring data on zoonoses and zoonotic agents under the Directive 2003/99/EC. This Directive requires Member Sates (MSs) to collect, evaluate and report data on zoonoses and zoonotic agents. MSs can also report monitoring data and information on some other pathogenic microbiological agents in foodstuffs. Relevant EU legislation: Commission Regulation (EC) No 2073/2005,Commission Regulation (EC) No 1441/2007, Commission Regulation (EU) No 1086/2011, Commission Regulation (EU) No 209/2013, Commission Regulation(EU) No 217/2014.
description: EU; csv; zoonoses_support:efsa.europa.eu
DOI: 10.5281/zenodo.5682182
title: Animal population data complementing the European Union One Health 2020 Zoonoses Report

description: This dataset includes animal population aggregated data under the framework of Directive 2003/99/EC. REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION: Animal_p20_20211109: &gt;&gt;
description: EU; csv; zoonoses_support@efsa.europa.eu
DOI: 10.5281/zenodo.5768112
title: Sample based prevalence data complementing the European Union One Health 2020 Zoonoses Report - Luxembourg

description: This dataset contains monitoring data on zoonoses and zoonotic agents under the Directive 2003/99/EC. This Directive requires Member Sates (MSs) to collect, evaluate and report data on zoonoses and zoonotic agents. MSs can also report monitoring data and information on some other pathogenic microbiological agents in foodstuffs. Relevant EU legislation: Commission Regulation (EC) No 2073/2005,Commission Regulation (EC) No 1441/2007, Commission Regulation (EU) No 1086/2011, Commission Regulation (EU) No 209/2013, Commission Regulation(EU) No 217/2014.
description: EU; csv; zoonoses_support:efsa.europa.eu
DOI: 10.21233/646x-vw93
title: Sidwell Farm vertebrate fauna dataset

description: Raw data for the Sidwell Farm vertebrate fauna dataset obtained from the Neotoma Paleoecology Database.