cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0165861.10fu
title: SH0165861.10FU

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/sh0165862.10fu
title: SH0165862.10FU

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: 10.11583/dtu.29500682.v5
title: Dataset from The Danish Food Composition Database, Frida version 5.2

description: <b>Dataset and Documentation of Frida: The Danish Food Composition Database</b>Documentation for the database is available in Danish and English. The dataset contains several worksheets with the following tables:Readme - Information on copyright and citationData_Table - Main table with all published nutrient data on all foodsData_Normalised - All published nutrient data on all foods normalized with source/referencesFood - Food description including FoodEx2, LanguaL and other codesFoodGroup - Foodgroup description and hierarchyParameter - Food description including chemical data, EuroFIR and EFSA codes and identifiers for other databasesSource - Information on references including URL<b>How to refer to this dataset?</b>Marija Langwagen, Jette Jacobsen, Tue Christensen and Anders Poulsen: The Danish Food Composition Database, Frida version 5.2, May 2024, National Food Institute, Technical University of Denmark. https://doi.org/10.11583/DTU.29500682<b>List of individual files and licenses:</b>Frida5.2_Dataset.xlsx - CC-BY 4.0Frida5.2_Dataset.ods - CC-BY 4.0Frida5.2_Dokumentation_Dansk.pdf - © Technical University of Denmark 2024Frida5.2_Documentation_English.pdf - © Technical University of Denmark 2024
DOI: 10.15156/bio/sh0165863.10fu
title: SH0165863.10FU

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/sh0165864.10fu
title: SH0165864.10FU

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/sh0165865.10fu
title: SH0165865.10FU

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/sh0165866.10fu
title: SH0165866.10FU

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/sh0165867.10fu
title: SH0165867.10FU

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/sh0165868.10fu
title: SH0165868.10FU

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/sh0165869.10fu
title: SH0165869.10FU

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/sh0165870.10fu
title: SH0165870.10FU

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: 10.15468/dl.n5smv9
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tanacetum balsamitoides Sch.Bip.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 27 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0156162-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pc59ad
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dianthus candicus (P.W.Ball & Heywood) Madhani & Heubl",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 12 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0295607-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ncnj35
title: Occurrence Download

description: A dataset containing 6818 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pyrus spinosa Forssk.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6818 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0261658-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7801/23
title: Evaluation measures for ontology matchers in supervised matching scenarios

description: Precision and Recall, as well as their combination in terms of FMeasure, are widely used
 measures in computer science and generally used to evaluate the overall performance of
 ontology matchers in fully automatic, unsupervised scenarios. In this paper, we
 investigate the case of supervised matching,where automatically created ontology
 alignments are verified by an expert. We motivate and describe this use case and its
 characteristics and discuss why traditional, F-measure based evaluation measures are not
 suitable to choose the best matching system for this task. Therefore, we investigate
 several alternative evaluation measures and propose the use of Precision@N curves as a
 means to assess different matching systems for supervised matching. We compare the ranking
 of ontology matchers from the last OAEI campaign using Precision@N curves to the
 traditional F-measure based ranking, and discuss means to combine matchers in a way that
 optimizes the user support in supervised ontology matching.
DOI: 10.15468/dl.9c7xdf
title: Occurrence Download

description: A dataset containing 20197 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Baccharis salicifolia (Ruiz & Pav.) Pers."
 ]
}

 The dataset includes 20197 records from 287 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083862-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jyzckt
title: Occurrence Download

description: A dataset containing 65388 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Jacobaea aquatica (Hill) G.Gaertn., B.Mey. & Scherb.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 65388 records from 299 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0301023-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mrcsgh
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eugenia kanakana N.Snow"
 ]
}

 The dataset includes 38 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083865-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ndsxmn
title: Occurrence Download

description: A dataset containing 755 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Culex modestus Ficalbi, 1947)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 755 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083866-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w9u2a9
title: Occurrence Download

description: A dataset containing 170 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-92.70365 -5.98457,-65.29635 -5.98457,-65.29635 4.98457,-92.70365 4.98457,-92.70365 -5.98457))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Odocoileus virginianus ustus Trouessart, 1910"
 ]
}

 The dataset includes 170 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083867-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7796/indepth.in021.1.v2
title: Vadu Core Surveillance Dataset 2002 - 2010
DOI: 10.15468/dl.rmzrkk
title: Occurrence Download

description: A dataset containing 1938 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Scutellaria baicalensis Georgi, Scutellaria baicalensis f. albiflora H.W.Jen & Y.J.Chang)"
 ]
}

 The dataset includes 1938 records from 107 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083863-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3kk84j
title: Occurrence Download

description: A dataset containing 1294 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Opuntia cochenillifera (L.) Mill.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1294 records from 106 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083864-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.msrfz4
title: Occurrence Download

description: A dataset containing 1322 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Geranium versicolor L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1322 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0261907-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n99f9r
title: Occurrence Download

description: A dataset containing 935 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rubus salisburgensis Focke",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 935 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0290379-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mrt5df
title: Occurrence Download

description: A dataset containing 273 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Limonium gerberi Soldano",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 273 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0300552-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h7cdw6
title: Occurrence Download

description: A dataset containing 423 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dactyloctenium geminatum Hack."
 ]
}

 The dataset includes 423 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083868-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m5kjms
title: Occurrence Download

description: A dataset containing 9952 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Blysmus rufus (Huds.) Link",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 9952 records from 133 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002230-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jggtyw
title: Occurrence Download

description: A dataset containing 3539 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Agrostis schleicheri Jord. & Verl.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3539 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0286154-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fhgkx3
title: Occurrence Download

description: A dataset containing 198765 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hepatica nobilis Schreb.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 198765 records from 420 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0262267-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.