cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1158877.10fu
title: SH1158877.10FU

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/sh1158879.10fu
title: SH1158879.10FU

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/sh1158880.10fu
title: SH1158880.10FU

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/sh1158881.10fu
title: SH1158881.10FU

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/sh1158884.10fu
title: SH1158884.10FU

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: 10.5281/zenodo.18209279
title: CPS-Guided Nucleocapsid Haplotype Atlas of MERS-CoV (2013 - 2019): A Genome-Constrained, CPS-Informed Dataset for Anticipatory Surveillance

description: This dataset comprises 67 high-quality, codon-resolved nucleocapsid (N) gene coding sequences from global MERS-CoV clinical isolates (2013 - 2019), aligned to the RefSeq reference (YP_009047211.1).

It includes:

A CPS-informed consensus sequence derived from empirical codon usage,27 observed haplotypes at evolutionarily permissive sites,Full metadata (collection date, country, host, passage history),Quality-controlled CDS files ready for synthetic genomics or evolutionary modeling.Generated using the Codon-Permissiveness Score (CPS) framework (Bhatti, Preprints 2025, doi:10.20944/preprints202510.0285.v1), this resource enables anticipatory surveillance, viability screening of emerging lineages, and extension of codon-resolution evolutionary analysis beyond Spike and SARS-CoV-2.

All data are open, reproducible, and compatible with forward-looking pathogen genomics pipelines.

Study by: Tahir Bhatti
DOI: 10.5281/zenodo.18209280
title: CPS-Guided Nucleocapsid Haplotype Atlas of MERS-CoV (2013 - 2019): A Genome-Constrained, CPS-Informed Dataset for Anticipatory Surveillance

description: This dataset comprises 67 high-quality, codon-resolved nucleocapsid (N) gene coding sequences from global MERS-CoV clinical isolates (2013 - 2019), aligned to the RefSeq reference (YP_009047211.1).

It includes:

A CPS-informed consensus sequence derived from empirical codon usage,27 observed haplotypes at evolutionarily permissive sites,Full metadata (collection date, country, host, passage history),Quality-controlled CDS files ready for synthetic genomics or evolutionary modeling.Generated using the Codon-Permissiveness Score (CPS) framework (Bhatti, Preprints 2025, doi:10.20944/preprints202510.0285.v1), this resource enables anticipatory surveillance, viability screening of emerging lineages, and extension of codon-resolution evolutionary analysis beyond Spike and SARS-CoV-2.

All data are open, reproducible, and compatible with forward-looking pathogen genomics pipelines.

Study by: Tahir Bhatti
DOI: 10.15156/bio/sh1158886.10fu
title: SH1158886.10FU

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/sh1158889.10fu
title: SH1158889.10FU

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/sh1158890.10fu
title: SH1158890.10FU

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/sh1158892.10fu
title: SH1158892.10FU

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/sh1158894.10fu
title: SH1158894.10FU

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.apw7yj
title: Occurrence Download

description: A dataset containing 3624621 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Streptopelia decaocto (Frivaldszky, 1838)",
 "BasisOfRecord is Human Observation"
 ]
}

 The dataset includes 3624621 records from 848 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0114711-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bzkaxk
title: Occurrence Download

description: A dataset containing 75 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Capparis rotundifolia Rottler"
 ]
}

 The dataset includes 75 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077106-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4p990r
title: Occurrence Download

description: A dataset containing 40093 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Asplenium ceterach L."
 ]
}

 The dataset includes 40093 records from 281 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040355-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mwtv4d
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tetrao urogallus cantabricus Castroviejo, 1967"
 ]
}

 The dataset includes 13 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0140568-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xeae6t
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Camchaya bolavenensis Noyori, Komada, Soulad. & Tagane"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077118-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.agdhaq
title: Occurrence Download

description: A dataset containing 70365 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Thymus praecox Opiz",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 70365 records from 268 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040356-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tx6urr
title: Occurrence Download

description: A dataset containing 265 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dryobalanops lanceolata Burck"
 ]
}

 The dataset includes 265 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0126615-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z4j8g7
title: Occurrence Download

description: A dataset containing 103 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Psylliodes brettinghami Baly, 1862)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 103 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045128-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f0bvcw
title: Occurrence Download

description: A dataset containing 898 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Pelargonium cucullatum (L.) L'Hér.",
 "TaxonKey is Pelargonium glutinosum (Jacq.) L'Hér.",
 "TaxonKey is Pelargonium graveolens (Thunb.) L'Hér.",
 "TaxonKey is Pelargonium grossularioides (L.) L'Her.",
 "TaxonKey is Pelargonium inquinans (L.) L'Her.",
 "TaxonKey is Pelargonium odoratissimum (L.) L' Her"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 898 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040358-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yb4kaq
title: Occurrence Download

description: A dataset containing 100833 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "DatasetKey is Birda - Global Observation Dataset",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Chordata",
 "Year 2020-2024"
 ]
}

 The dataset includes 100833 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057030-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pb7kaw
title: Occurrence Download

description: A dataset containing 186 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oreolalax popei (Liu, 1947)"
 ]
}

 The dataset includes 186 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0135351-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6e3qck
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Thylogale browni (Ramsay, 1887)"
 ]
}

 The dataset includes 7 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061689-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jtgayx
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Greece",
 "Geometry POLYGON((20.979 38.37707,21.06689 37.72342,22.5708 37.72342,22.60986 38.37707,22.60986 38.43064,20.979 38.43064,20.979 38.37707))",
 "HasCoordinate is true",
 "TaxonKey is Sorbus umbellata (Desf.) Fritsch",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040359-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.98rzrb
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "SpeciesKey" : [
 "is Lactarius umbrinus (Paulet) Fr."
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0147272-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6iwqoe
title: Occurrence Download

description: A dataset containing 18202 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sula nebouxii Milne-Edwards, 1882"
 ]
}

 The dataset includes 18202 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040361-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d87pam
title: Occurrence Download

description: A dataset containing 4013 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Neomysis integer (Leach, 1815)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is MANAGED"
 ]
 }
 },
 {
 "not" : {
 "EstablishmentMeans" : [
 "is not null"
 ]
 }
 }
 ]
 },
 {
 "or" : [
 "OccurrenceStatus is Present",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is not null"
 ]
 }
 }
 ]
 }
 ]
}

 The dataset includes 4013 records from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061690-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tshkvm
title: Occurrence Download

description: A dataset containing 38872 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Capturing our Coast (CoCoast) marine citizen science project - data verified via iRecord"
 ]
}

 The dataset includes 38872 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061483-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/27739
title: Chandra X-ray Observatory ObsId 27739

description: Opening Pandora's Box: Direct Detection of AGN at z&gt;7
DOI: 10.15468/dl.akyvjx
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "PublishingOrg is one of (9661d20d-86b6-4485-8948-f3c86b022fa7, 605e7170-1123-11d9-8433-b8a03c50a862)",
 "BasisOfRecord is one of (Specimen, Fossil)"
 ]
 },
 "TaxonKey is one of (Tipula [GBIF Backbone Taxonomy])"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061485-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.