cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.3yrs6t
title: Occurrence Download

description: A dataset containing 736 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Living Specimen",
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Literature Occurrence",
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Observation"
 ]
 },
 "HasCoordinate is true",
 "TaxonKey is Sphenostemon Baill."
 ]
}

 The dataset includes 736 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0259063-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q3fvwb
title: Occurrence Download

description: A dataset containing 10596 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bruniales"
 ]
}

 The dataset includes 10596 records from 127 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014248-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3p8j33
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Cystopteris ulei Christ"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0234922-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6s9ucd
title: Occurrence Download

description: A dataset containing 70681 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Typha angustifolia L."
 ]
}

 The dataset includes 70681 records from 617 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0270464-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a5fn66
title: Occurrence Download

description: A dataset containing 817 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Living Specimen",
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Literature Occurrence",
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Observation"
 ]
 },
 "HasCoordinate is true",
 "TaxonKey is Strongylodon Vogel"
 ]
}

 The dataset includes 817 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0259077-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.0d4qx9
title: Occurrence Download

description: A dataset containing 90 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Myrceugenia franciscensis (O.Berg) Landrum"
 ]
}

 The dataset includes 90 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014248-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kk7c9e
title: Occurrence Download

description: A dataset containing 1331 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Elassoma evergladei Jordan, 1884"
 ]
}

 The dataset includes 1331 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0247798-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d6ay87
title: Occurrence Download

description: A dataset containing 476 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Albuca bracteata (Thunb.) J.C.Manning & Goldblatt"
 ]
}

 The dataset includes 476 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0219519-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wmtyma
title: Occurrence Download

description: A dataset containing 470 species occurrences available in GBIF matching the query:
{
 "RecordedBy" : [
 "is Milliken W"
 ]
}

 The dataset includes 470 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0268757-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.akcwia
title: Occurrence Download

description: A dataset containing 12203 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Computarización de la Colección Nacional de Peces del Instituto de Biología UNAM"
 ]
}

 The dataset includes 12203 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014249-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.886kkr
title: Occurrence Download

description: A dataset containing 607 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is King penguin census data, Gadget Gully, Macquarie Island (1993-2008)"
 ]
}

 The dataset includes 607 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0271442-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d5emjj
title: Occurrence Download

description: A dataset containing 388 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Japan",
 "TaxonKey is Glehnia littoralis F.Schmidt, 1867",
 "Year 1952-2021"
 ]
}

 The dataset includes 388 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011014-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3g1wni
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "HasCoordinate is true",
 "TaxonKey is Stenocercus varius Boulenger, 1885",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 19 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014249-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2ufk5q
title: Occurrence Download

description: A dataset containing 6168 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is United States of America",
 "Country is Sweden",
 "Country is Australia",
 "Country is France",
 "Country is Canada",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "Country is Netherlands",
 "Country is Spain",
 "Country is Denmark",
 "Country is Germany",
 "Country is Thailand",
 "Country is India",
 "Country is Philippines",
 "Country is South Africa",
 "Country is Lao People’s Democratic Republic",
 "Country is Indonesia",
 "Country is Sri Lanka",
 "Country is Viet Nam",
 "Country is Malaysia",
 "Country is Kenya",
 "Country is Pakistan",
 "Country is Bangladesh",
 "Country is Myanmar",
 "Country is Nepal",
 "Country is Senegal",
 "Country is Burundi",
 "Country is Burkina Faso",
 "Country is Uganda",
 "Country is Tanzania, United Republic of",
 "Country is Guinea",
 "Country is Côte d’Ivoire",
 "Country is Papua New Guinea",
 "Country is Sudan",
 "Country is Mali",
 "Country is Cameroon",
 "Country is Benin",
 "Country is Nigeria",
 "Country is Cambodia"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Bactrocera dorsalis (Hendel, 1912)"
 ]
}

 The dataset includes 6168 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0226370-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kjgbek
title: Occurrence Download

description: A dataset containing 323 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is The New York Botanical Garden Herbarium (NY)",
 "TaxonKey is Amanita muscaria (L.) Pers."
 ]
}

 The dataset includes 323 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0256378-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nuyk29
title: Occurrence Download

description: A dataset containing 54 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Diospyros crumenata Thwaites"
 ]
}

 The dataset includes 54 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0276428-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vsmduo
title: Occurrence Download

description: A dataset containing 60064 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chelonia mydas (Linnaeus, 1758)"
 ]
}

 The dataset includes 60064 records from 180 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014250-180824113759888/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u5js7c
title: Occurrence Download

description: A dataset containing 4590 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "GadmGid is BRA.4_1",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 4590 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0266583-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y3mwr9
title: Occurrence Download

description: A dataset containing 17052 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hordeum jubatum L."
 ]
}

 The dataset includes 17052 records from 319 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0271449-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q8g2mt
title: Occurrence Download

description: A dataset containing 238 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Goodyera repens (L.) R.Br. (Orchidaceae) in the Komi Republic"
 ]
}

 The dataset includes 238 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061977-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.5009044
title: Dataset - Spatio-temporal modeling of the crowding conditions and metabolic variability in microbial communities

description: Dataset simulated for the manuscript "Spatio-temporal modeling of the crowding conditions and metabolic variability in microbial communities" by Angeles-Martinez and Hatzimanikatis.
description: The CROMICS code and dataset needed to generate the results for the paper "Spatio-temporal modeling of the crowding conditions and metabolic variability in microbial communities" are available at https://github.com/EPFL-LCSB/cromics.git
DOI: 10.5281/zenodo.5009045
title: Dataset - Spatio-temporal modeling of the crowding conditions and metabolic variability in microbial communities

description: Dataset simulated for the manuscript "Spatio-temporal modeling of the crowding conditions and metabolic variability in microbial communities" by Angeles-Martinez and Hatzimanikatis.
description: The CROMICS code and dataset needed to generate the results for the paper "Spatio-temporal modeling of the crowding conditions and metabolic variability in microbial communities" are available at https://github.com/EPFL-LCSB/cromics.git
DOI: 10.15156/bio/sh1181320.10fu
title: SH1181320.10FU

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/sh1181325.10fu
title: SH1181325.10FU

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/sh1181330.10fu
title: SH1181330.10FU

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/sh1181331.10fu
title: SH1181331.10FU

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/sh1181332.10fu
title: SH1181332.10FU

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/sh1181334.10fu
title: SH1181334.10FU

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/sh1181339.10fu
title: SH1181339.10FU

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/sh1181341.10fu
title: SH1181341.10FU

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/sh1181343.10fu
title: SH1181343.10FU

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/sh1181344.10fu
title: SH1181344.10FU

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.