cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.22bxmx
title: Occurrence Download

description: A dataset containing 1272 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Zachrysia provisoria (L.Pfeiffer, 1858)"
 ]
}

 The dataset includes 1272 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0227712-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vwq33r
title: Occurrence Download

description: A dataset containing 20951 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mozambique",
 "DatasetKey is IICT Herbário LISC"
 ]
}

 The dataset includes 20951 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048028-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.es5axs
title: Occurrence Download

description: A dataset containing 8291774 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Coleoptera"
 ]
}

 The dataset includes 8291774 records from 1319 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013301-190320150433242/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8wvk72
title: Occurrence Download

description: A dataset containing 209 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is Mexico",
 "TaxonKey is Peromyscus gymnotis Thomas, 1894"
 ]
}

 The dataset includes 209 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010979-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wagqe2
title: Occurrence Download

description: A dataset containing 2277 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is Mexico",
 "OccurrenceStatus is Present",
 "TaxonKey is Lithobates pustulosus (Boulenger, 1883)"
 ]
}

 The dataset includes 2277 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007472-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p4ppt8
title: Occurrence Download

description: A dataset containing 2508 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Caesioperca lepidoptera (Forster, 1801)"
 ]
}

 The dataset includes 2508 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033056-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.824w49
title: Occurrence Download

description: A dataset containing 1167 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Sceloporus dugesii Bocourt, 1874",
 "Year 1950-2022"
 ]
}

 The dataset includes 1167 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011001-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k6wk5k
title: Occurrence Download

description: A dataset containing 57 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Carex brachyanthera Ohwi",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 57 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007475-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nb8e7w
title: Occurrence Download

description: A dataset containing 1074 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pristiapogon fraenatus (Valenciennes, 1832)"
 ]
}

 The dataset includes 1074 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033057-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3ef2zu
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Plumbago zeylanica L.",
 "Country is Vanuatu",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007799-220831081235567/datasets/export for details.
DOI: 10.15468/dl.aqbff8
title: Occurrence Download

description: A dataset containing 15235 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Carex atrata L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 15235 records from 190 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007474-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vwg3h7
title: Occurrence Download

description: A dataset containing 132 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is Mexico",
 "TaxonKey is Peromyscus guardia Townsend, 1912"
 ]
}

 The dataset includes 132 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010984-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bjd4qq
title: Occurrence Download

description: A dataset containing 7075 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Canada, United States of America)",
 "MediaType is Image",
 "TaxonKey is Diervilla lonicera Mill."
 ]
}

 The dataset includes 7075 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0098040-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nq4z47
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Alpinia purpurata (Vieill.) K.Schum.",
 "Country is New Caledonia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007704-220831081235567/datasets/export for details.
DOI: 10.15468/dl.aes8c9
title: Occurrence Download

description: A dataset containing 2565 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA.2_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Vulpes lagopus"
 ]
}

 The dataset includes 2565 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005279-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17378345
title: Data from the Portable Ice Nucleation Experiment (PINE) during the M-Phase 2022 research cruise

description: Ice-nucleating particle (INP) measurements were taken using the Portable Ice Nucleation Experiment (PINE) chamber (Möhler et al., 2021) throughout the M-Phase research cruise in May-June 2022 aboard the Royal Research Ship (RRS) Discovery.

The cruise started from Reykjavík, Iceland, with the track including the Labrador Sea and the Davis Strait, ending at Southampton, United Kingdom. PINE was located within the University of Leeds IcePod mobile laboratory (https://environment.leeds.ac.uk/dir-record/facilities-environment/1512/icepod) that was located on the foredeck of the ship. Aerosol was sampled through a heated total suspended particulate (TSP) sampling head at a flow rate of 33.33 L/min and into the IcePod laboratory, where the sampled air was split into four lines to monitor aerosols using multiple instruments; PINE was connected to one of these lines and operated at a flow rate of 2 L/min. PINE was run in constant temperature mode with the chamber nominally cooled to −28 °C, but was warmed briefly to 18 °C daily to prevent icing of the inlet in Arctic conditions. A new PINE operation was started every 1-4 days, with the operation folder names labelled as the date the operation started in the YY/MM/DD format.

The raw PINE data is provided here for each operation ("operation setup", "raw_Data", and Level 0 data ("L0_Data")). The raw data was processed using the PINE INP Analysis (PIA) software version 2.0.2 to derive time series data (Level 1, "L1_Data") and temperature spectra (Level 2, "L2_Data") of INP concentrations, as per Büttner and Fösig (2023) (https://zenodo.org/records/15592786). Further details of the design and operation of PIA can be found here: https://pia.readthedocs.io/en/stable/.

GPS coordinates are provided for the ship cruise track during the M-Phase 2022 campaign. Original GPS files are provided in a folder, while a CSV file provides GPS data on a minute-by-minute basis.
DOI: 10.5281/zenodo.17378346
title: Data from the Portable Ice Nucleation Experiment (PINE) during the M-Phase 2022 research cruise

description: Ice-nucleating particle (INP) measurements were taken using the Portable Ice Nucleation Experiment (PINE) chamber (Möhler et al., 2021) throughout the M-Phase research cruise in May-June 2022 aboard the Royal Research Ship (RRS) Discovery.

The cruise started from Reykjavík, Iceland, with the track including the Labrador Sea and the Davis Strait, ending at Southampton, United Kingdom. PINE was located within the University of Leeds IcePod mobile laboratory (https://environment.leeds.ac.uk/dir-record/facilities-environment/1512/icepod) that was located on the foredeck of the ship. Aerosol was sampled through a heated total suspended particulate (TSP) sampling head at a flow rate of 33.33 L/min and into the IcePod laboratory, where the sampled air was split into four lines to monitor aerosols using multiple instruments; PINE was connected to one of these lines and operated at a flow rate of 2 L/min. PINE was run in constant temperature mode with the chamber nominally cooled to −28 °C, but was warmed briefly to 18 °C daily to prevent icing of the inlet in Arctic conditions. A new PINE operation was started every 1-4 days, with the operation folder names labelled as the date the operation started in the YY/MM/DD format.

The raw PINE data is provided here for each operation ("operation setup", "raw_Data", and Level 0 data ("L0_Data")). The raw data was processed using the PINE INP Analysis (PIA) software version 2.0.2 to derive time series data (Level 1, "L1_Data") and temperature spectra (Level 2, "L2_Data") of INP concentrations, as per Büttner and Fösig (2023) (https://zenodo.org/records/15592786). Further details of the design and operation of PIA can be found here: https://pia.readthedocs.io/en/stable/.

GPS coordinates are provided for the ship cruise track during the M-Phase 2022 campaign. Original GPS files are provided in a folder, while a CSV file provides GPS data on a minute-by-minute basis.
DOI: 10.15468/dl.vwpsrb
title: Occurrence Download

description: A dataset containing 98 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Observation",
 "Country is India",
 "Month is November"
 ]
}

 The dataset includes 98 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006517-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1191839.10fu
title: SH1191839.10FU

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/sh1191842.10fu
title: SH1191842.10FU

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/sh1191843.10fu
title: SH1191843.10FU

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/sh1191844.10fu
title: SH1191844.10FU

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/sh1191846.10fu
title: SH1191846.10FU

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/sh1191847.10fu
title: SH1191847.10FU

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/sh1191851.10fu
title: SH1191851.10FU

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/sh1191852.10fu
title: SH1191852.10FU

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/sh1191854.10fu
title: SH1191854.10FU

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/sh1191861.10fu
title: SH1191861.10FU

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.