cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0198311.10fu
title: SH0198311.10FU

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/sh0198312.10fu
title: SH0198312.10FU

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/sh0198313.10fu
title: SH0198313.10FU

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/sh0198314.10fu
title: SH0198314.10FU

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/sh0198315.10fu
title: SH0198315.10FU

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/sh0198316.10fu
title: SH0198316.10FU

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/sh0198317.10fu
title: SH0198317.10FU

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/sh0198318.10fu
title: SH0198318.10FU

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/sh0198319.10fu
title: SH0198319.10FU

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/sh0198320.10fu
title: SH0198320.10FU

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.qquka6
title: Occurrence Download

description: A dataset containing 10937 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Norway",
 "Geometry POLYGON((6.74581 59.21319,10.59311 58.96684,11.69384 62.22709,7.56642 62.87624,6.74581 59.21319))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is Geodetic datum assumed WGS84",
 "OccurrenceStatus is Present",
 "TaxonKey is Capreolus capreolus (Linnaeus, 1758)",
 "Year 1985-2024"
 ]
}

 The dataset includes 10937 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024964-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w5eb9k
title: Occurrence Download

description: A dataset containing 58138 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ginkgo biloba L."
 ]
}

 The dataset includes 58138 records from 632 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024963-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aafc3x
title: Occurrence Download

description: A dataset containing 255 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is South America",
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "PublishingOrg is f072f648-b8a4-47a0-9e1c-89d790645b5a",
 "TaxonKey is Rhizophora mangle L.",
 "Year is 2010"
 ]
}

 The dataset includes 255 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024966-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8284pp
title: Occurrence Download

description: A dataset containing 1653 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Euphausiidae",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1653 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024965-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.su335y
title: Occurrence Download

description: A dataset containing 774 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pasiphaeidae",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 774 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024967-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tt9jrw
title: Occurrence Download

description: A dataset containing 2139 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oikopleuridae",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2139 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024968-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wfsxt8
title: Occurrence Download

description: A dataset containing 10942 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Norway",
 "Geometry POLYGON((6.74581 59.21319,10.59311 58.96684,11.69384 62.22709,7.56642 62.87624,6.74581 59.21319))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is Geodetic datum assumed WGS84",
 "OccurrenceStatus is Present",
 "TaxonKey is Capreolus Gray, 1821",
 "Year 1985-2024"
 ]
}

 The dataset includes 10942 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024969-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a23s39
title: Occurrence Download

description: A dataset containing 330 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is South America",
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "TaxonKey is Rhizophora mangle L.",
 "Year is 2020"
 ]
}

 The dataset includes 330 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024970-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11554783
title: Global climatology of light-absorbing particle deposition on snow

description: Description

Light-absorbing particles (LAPs) deposited at the snow surface significantly reduce its albedo and strongly affect the snow melt dynamics. To better quantify the spatial variability of LAP deposition on snow, Gaillard et al. (2024) have generated a global climatology of LAP deposition on snow. It combines a climatological dataset of LAP deposition rates (Black Carbon (BC) and dust) over the period 1979-2015 (Zhao et al., 2018) with a global dataset of snow cover (Romanov, 2017) to obtain a climatology of LAP deposition rates on snow.

The data are distributed in a NetCDF file (climato_tot_publish.nc). More details about the dataset and the file format are given in the file readme_climatology.pdf.
DOI: 10.5281/zenodo.11554782
title: Global climatology of light-absorbing particle deposition on snow

description: Description

Light-absorbing particles (LAPs) deposited at the snow surface significantly reduce its albedo and strongly affect the snow melt dynamics. To better quantify the spatial variability of LAP deposition on snow, Gaillard et al. (2024) have generated a global climatology of LAP deposition on snow. It combines a climatological dataset of LAP deposition rates (Black Carbon (BC) and dust) over the period 1979-2015 (Zhao et al., 2018) with a global dataset of snow cover (Romanov, 2017) to obtain a climatology of LAP deposition rates on snow. The climatology is accompanied by the 25th and 75th percentiles of LAP deposition rates on snow to quantify the inter-annual variability of LAP deposition on snow. 

The data are distributed in a NetCDF file (climato_tot_publish_v2.nc). More details about the dataset and the file format are given in the file readme_climatology_v2.pdf.
DOI: 10.5281/zenodo.14195003
title: Global climatology of light-absorbing particle deposition on snow

description: Description

Light-absorbing particles (LAPs) deposited at the snow surface significantly reduce its albedo and strongly affect the snow melt dynamics. To better quantify the spatial variability of LAP deposition on snow, Gaillard et al. (2024) have generated a global climatology of LAP deposition on snow. It combines a climatological dataset of LAP deposition rates (Black Carbon (BC) and dust) over the period 1979-2015 (Zhao et al., 2018) with a global dataset of snow cover (Romanov, 2017) to obtain a climatology of LAP deposition rates on snow. The climatology is accompanied by the 25th and 75th percentiles of LAP deposition rates on snow to quantify the inter-annual variability of LAP deposition on snow. 

The data are distributed in a NetCDF file (climato_tot_publish_v2.nc). More details about the dataset and the file format are given in the file readme_climatology_v2.pdf.
DOI: 10.15468/dl.juvp78
title: Occurrence Download

description: A dataset containing 5527 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Dominican Republic",
 "TaxonKey is Fregata magnificens Mathews, 1914"
 ]
}

 The dataset includes 5527 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024972-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tq9vha
title: Occurrence Download

description: A dataset containing 64643 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Paracalanidae",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 64643 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024971-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14195021
title: O'ZBEKISTONDA KICHIK GESLAR QURILISHINING QISQACHA TARIXI
DOI: 10.5281/zenodo.14195022
title: O'ZBEKISTONDA KICHIK GESLAR QURILISHINING QISQACHA TARIXI
DOI: 10.15468/dl.rnadqv
title: Occurrence Download

description: A dataset containing 4202 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((128.44321 4.72449,139.39254 28.59156,148.74252 47.41456,95.22615 38.06457,98.17878 20.47184,112.08073 17.88829,119.58533 4.97054,128.44321 4.72449))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ophiopogon japonicus (Thunb.) Ker Gawl."
 ]
}

 The dataset includes 4202 records from 85 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024973-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tgt4tu
title: Occurrence Download

description: A dataset containing 25897 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Centropagidae",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 25897 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024974-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.agcdvs
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "TaxonKey is Calceolaria linearis Ruiz & Pav."
 ]
}

 The dataset includes 53 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024975-241107131044228/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.27872259
title: <b>Effects of shrubs and climate interactions on ecosystem multifunctionality vary across various spatial scales</b>

description: 'a' indicates the date about α-ecosystem multifunctionality, 'd' indicates the date about β-ecosystem multifunctionality, 'r' indicates the date about γ-ecosystem multifunctionality.
DOI: 10.6084/m9.figshare.27872259.v1
title: <b>Effects of shrubs and climate interactions on ecosystem multifunctionality vary across various spatial scales</b>

description: 'a' indicates the date about α-ecosystem multifunctionality, 'd' indicates the date about β-ecosystem multifunctionality, 'r' indicates the date about γ-ecosystem multifunctionality.
DOI: 10.5281/zenodo.14195029
title: TA'LIMDAGI INNOVATSIYALAR: ASOSIY MEZONI VA RIVOJLANISH YO'NALISHLARI
DOI: 10.5281/zenodo.14195030
title: TA'LIMDAGI INNOVATSIYALAR: ASOSIY MEZONI VA RIVOJLANISH YO'NALISHLARI
DOI: 10.15468/dl.y79c5f
title: Occurrence Download

description: A dataset containing 1892 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Fossil",
 "TaxonKey is Ficus L."
 ]
}

 The dataset includes 1892 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024977-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xfsf3j
title: Occurrence Download

description: A dataset containing 106 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Dominican Republic",
 "TaxonKey is Cyclura ricordi (Duméril & Bibron, 1837)"
 ]
}

 The dataset includes 106 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024978-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.