cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1127851.10fu
title: SH1127851.10FU

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/sh1127856.10fu
title: SH1127856.10FU

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/sh1127857.10fu
title: SH1127857.10FU

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/sh1127865.10fu
title: SH1127865.10FU

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/sh1127866.10fu
title: SH1127866.10FU

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/sh1127868.10fu
title: SH1127868.10FU

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/sh1127869.10fu
title: SH1127869.10FU

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/sh1127870.10fu
title: SH1127870.10FU

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/sh1127871.10fu
title: SH1127871.10FU

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.vypvz5
title: Occurrence Download

description: A dataset containing 8740 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hypolimnas misippus Linnaeus, 1764"
 ]
}

 The dataset includes 8740 records from 162 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034493-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.axkh5c
title: Occurrence Download

description: A dataset containing 550 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pongo abelii Lesson, 1827"
 ]
}

 The dataset includes 550 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034494-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kyayf4
title: Occurrence Download

description: A dataset containing 634 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oxypetalum alpinum (Vell.) Fontella & E.A.Schwarz"
 ]
}

 The dataset includes 634 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034495-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dayv8v
title: Occurrence Download

description: A dataset containing 151 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oxypetalum tubatum Malme"
 ]
}

 The dataset includes 151 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034496-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v9v7ut
title: Occurrence Download

description: A dataset containing 279 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oxypetalum macrolepis (Hook. & Arn.) Decne."
 ]
}

 The dataset includes 279 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034497-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fkj6aq
title: Occurrence Download

description: A dataset containing 9961 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((29.68244 59.7036,33.72227 59.7036,33.72227 61.82347,29.68244 61.82347,29.68244 59.7036))",
 "HasGeospatialIssue is false",
 "PublishingOrg is 28eb1a3f-1c15-4a95-931a-4af90ecb574d",
 "TaxonKey is one of (Turdus pilaris Linnaeus, 1758, Anas platyrhynchos Linnaeus, 1758, Chloris chloris (Linnaeus, 1758))"
 ]
}

 The dataset includes 9961 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034498-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n4fheu
title: Occurrence Download

description: A dataset containing 1707 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oxypetalum appendiculatum Mart."
 ]
}

 The dataset includes 1707 records from 122 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034499-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tmzwv2
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Spain",
 "StateProvince is Andalucía",
 "TaxonKey is Thymus vulgaris L."
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034501-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tk4u5m
title: Occurrence Download

description: A dataset containing 9922 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((29.68244 59.7036,33.72227 59.7036,33.72227 61.82347,29.68244 61.82347,29.68244 59.7036))",
 "HasGeospatialIssue is false",
 "PublishingOrg is 28eb1a3f-1c15-4a95-931a-4af90ecb574d",
 "TaxonKey is one of (Turdus pilaris Linnaeus, 1758, Anas platyrhynchos Linnaeus, 1758, Chloris chloris (Linnaeus, 1758))",
 "Year 2010-2024"
 ]
}

 The dataset includes 9922 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034502-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4vrfcv
title: Occurrence Download

description: A dataset containing 46581 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((72.6614 44.26411,80.89027 44.26411,80.89027 47.21351,72.6614 47.21351,72.6614 44.26411))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 46581 records from 149 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034500-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.3827631.v1
title: rbcL_rdp_trained_reference_database.zip

description: Trained database for analysis using RDP classifier. Includes all rbcL sequences available on the NCBI database on January 27, 2016.
DOI: 10.15468/dl.b6jpfe
title: Occurrence Download

description: A dataset containing 49 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oxypetalum attenuatum (Rusby) Malme"
 ]
}

 The dataset includes 49 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034505-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/8776156
title: Quantum Image Dataset Transform (QIDT)
DOI: 10.34740/kaggle/dsv/10168603
title: Brain Activities Classification Signals
DOI: 10.5281/zenodo.10407034
title: Genus Erica: An Identification Aid Version 4.00

description: Genus Erica: An Identification Aid is a tool to help both amateurs and professionals identify (using a limited number of accessible characteristics) and find information about the 851 species and many subspecific taxa of the flowering plant genus Erica. Version 4.00 includes new features such as integrating distribution data from GBIF and iNaturalist, links to taxonomic resources through World Flora Online, and a probability function for identifications. It is freely available for PCs.
DOI: 10.5281/zenodo.10453716
title: Genus Erica: An Identification Aid Version 4.00

description: Genus Erica: An Identification Aid is a tool to help both amateurs and professionals identify (using a limited number of accessible characteristics) and find information about the 851 species and many subspecific taxa of the flowering plant genus Erica. Version 4.00 includes new features such as integrating distribution data from GBIF and iNaturalist, links to taxonomic resources through World Flora Online, and a probability function for identifications. It is freely available for PCs.
DOI: 10.5281/zenodo.10651955
title: Genus Erica: An Identification Aid Version 4.00

description: Genus Erica: An Identification Aid is a tool to help both amateurs and professionals identify (using a limited number of accessible characteristics) and find information about the 851 species and many subspecific taxa of the flowering plant genus Erica. Version 4.00 includes new features such as integrating distribution data from GBIF and iNaturalist, links to taxonomic resources through World Flora Online, and a probability function for identifications. It is freely available for PCs. If you have a current version of MS office installed, or no MS office at all, use 'GenusEricaAnIdentificationAid400.exe'. V.4.00.02 includes alternative installation kits for in case you have specific older versions of MS office installed.
DOI: 10.5281/zenodo.10652964
title: Genus Erica: An Identification Aid Version 4.00

description: Genus Erica: An Identification Aid is a tool to help both amateurs and professionals identify (using a limited number of accessible characteristics) and find information about the 851 species and many subspecific taxa of the flowering plant genus Erica. Version 4.00 includes new features such as integrating distribution data from GBIF and iNaturalist, links to taxonomic resources through World Flora Online, and a probability function for identifications. It is freely available for PCs.

You can install the Erica ID aid whether you have MS office or not. If you have a current version of MS office installed, use 'GenusEricaAnIdentificationAid400 normal.exe'. V.4.00.02 onwards also includes alternative installation kits for in case you have specific older versions of MS office installed. If you do not have MS office, any of these should work.
DOI: 10.5281/zenodo.10797685
title: Genus Erica: An Identification Aid Version 4.00

description: Genus Erica: An Identification Aid is a tool to help both amateurs and professionals identify (using a limited number of accessible characteristics) and find information about the 851 species and many subspecific taxa of the flowering plant genus Erica. Version 4.00 includes new features such as integrating distribution data from GBIF and iNaturalist, links to taxonomic resources through World Flora Online, and a probability function for identifications. It is freely available for PCs.

You can install the Erica ID aid whether you have MS office or not. If you have a current version of MS office installed, use 'GenusEricaAnIdentificationAid400 normal.exe'. V.4.00.02 onwards also includes alternative installation kits for in case you have specific older versions of MS office installed. If you do not have MS office, any of these should work.

V.4.00.04 is an incremental update following peer review. The ms. is currently in press at the journal PhytoKeys.
DOI: 10.5281/zenodo.14228361
title: Genus Erica: An Identification Aid Version 4.01

description: Genus Erica: An Identification Aid is a tool to help both amateurs and professionals identify (using a limited number of accessible characteristics) and find information about the 851 species and many subspecific taxa of the flowering plant genus Erica. Version 4.00 includes new features such as integrating distribution data from GBIF and iNaturalist, links to taxonomic resources through World Flora Online, and a probability function for identifications; V. 4.01 also includes eFlora links and an optional research data window (see below). It is freely available for PCs.

You can install the Erica ID aid whether you have MS office or not. If you have a current version of MS office installed, use 'GenusEricaAnIdentificationAid400 normal.exe'. V.4.00.02 onwards also includes alternative installation kits for in case you have specific older versions of MS office installed. If you do not have MS office, any of these should work.

V.4.00.04 is an incremental update following peer review. The ms. is currently in press at the journal PhytoKeys [published 24th April 2024: https://doi.org/10.3897/phytokeys.241.117604]

V.4.01: Through work with WFO and SANBI, unique taxon identifiers have been linked across WFO (https://www.worldfloraonline.org/), the SANBI eFlora SA (https://www.sanbi.org/biodiversity/foundations/biosystematics-collections/e-flora/), and GBiF (https://www.gbif.org/). This means the Erica ID aid can now refer to and receive data unambiguously from these sources. SANBI e-Flora references have been added and can be reached by clicking on the e-Flora button on the Erica Characters window. An additional Research Data window has been added. This will be mostly of use (and largely self-explanatory) to the systematics/conservation research community, and can be accessed through a button on the ribbon/an option in the settings. Updates to GBiF distribution data; improvement of data for Madagascan taxa along with other minor taxonomic changes and improvements to the data and helpfile.
DOI: 10.15468/dl.hqxebk
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oxypetalum fiebrigii (Malme) Goyder & Rapini"
 ]
}

 The dataset includes 51 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034506-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w2hekv
title: Occurrence Download

description: A dataset containing 3603226 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Tropicos MO Specimen Data",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 3603226 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034503-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.