cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.e7i7rb
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Reinhardtia elegans Liebm. ex Mart.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007574-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vzdqk4
title: Occurrence Download

description: A dataset containing 420 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mesaspis viridiflava (Bocourt, 1873)"
 ]
}

 The dataset includes 420 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065607-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m6ambs
title: Occurrence Download

description: A dataset containing 393 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Guaruba guarouba (Gmelin, 1788)"
 ]
}

 The dataset includes 393 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061169-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/csc2.obs.17663
title: Chandra X-ray Observatory ObsId 17663

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.15468/dl.h7jekx
title: Occurrence Download

description: A dataset containing 76507 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Field Museum of Natural History (Botany) Bryophyte Collection",
 "TaxonKey is Marchantiophyta"
 ]
}

 The dataset includes 76507 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057992-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mjn6fb
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Casearia melliodora Eichler"
 ]
}

 The dataset includes 44 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006562-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zocdup
title: Occurrence Download

description: A dataset containing 9988 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Campylorhynchus turdinus (Wied-Neuwied, 1821)"
 ]
}

 The dataset includes 9988 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007574-180730143533302/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/csc2.obs.17699
title: Chandra X-ray Observatory ObsId 17699

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.15468/dl.jdnv42
title: Occurrence Download

description: A dataset containing 68177 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Odocoileus virginianus (Zimmermann, 1780)"
 ]
}

 The dataset includes 68177 records from 229 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061176-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/csc2.obs.17702
title: Chandra X-ray Observatory ObsId 17702

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.15468/dl.v28wrn
title: Occurrence Download

description: A dataset containing 1548 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Hippocampus hippocampus (Linnaeus, 1758)"
 ]
}

 The dataset includes 1548 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0197061-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/csc2.obs.17705
title: Chandra X-ray Observatory ObsId 17705

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.15468/dl.9fnzwu
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "OccurrenceStatus is Present",
 "TaxonKey is Hydrochoerus hydrochaeris (Linnaeus, 1766)"
 ]
}

 The dataset includes 21 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061191-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hhftuw
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "TaxonKey is Bothrops jararacussu Lacerda, 1884",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007574-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pmgqa9
title: Occurrence Download

description: A dataset containing 4067 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Helodermatidae"
 ]
}

 The dataset includes 4067 records from 118 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065613-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15151/esrf-es-1722746158
title: Testing DRIFT set-up on ID24-DCM for beamtime CH7064

description: The DRIFT reactor will be mounted on ID24 and tested for the incoming beamtime CH7064. No beam is required. H2 20%, CO2 5%, CO 5% in He, O2 20% in He will be used for testing the reactor
DOI: 10.15468/dl.ohvqam
title: Occurrence Download

description: A dataset listing the 1500 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "Year 2010-2019",
 "HasCoordinate is true",
 "TaxonKey is Tangara chilensis (Vigors, 1832)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset's 1500 records were derived from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007574-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.reuzdv
title: Occurrence Download

description: A dataset containing 291 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is ECOPOT_1: Phytoplankton in Flemish Waterbodies"
 ]
}

 The dataset includes 291 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061171-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kdyi7b
title: Occurrence Download

description: A dataset containing 568 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sabethes chloropterus (Humboldt, 1819)"
 ]
}

 The dataset includes 568 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006563-191105090559680/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.22708162
title: Raw data in LC-MS metabolomics sequencing

description: In this study, we employed immunomagnetic enrichment and fluorescence-activated cell sorting (FACS) to isolate 15 hematopoietic cell types containing over 9×108 hematopoietic cells from 200 young and 150 aged mice, ranging from HSCs, committed progenitors, to mature lineage cells. Ultra-performance liquid chromatography mass spectroscopy (UPLC-MS/MS) untargeted analysis identified about 2000 metabolites in each cell population, which contributed to defining cell-specific signatures and depicting the landscape of aged blood cells.
DOI: 10.15468/dl.749kra
title: Occurrence Download

description: A dataset containing 6201 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Observation",
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Material sample",
 "BasisOfRecord is Specimen"
 ]
 },
 {
 "or" : [
 "Country is United States of America",
 "Country is Mexico",
 "Country is Guatemala",
 "Country is Belize",
 "Country is El Salvador",
 "Country is Honduras",
 "Country is Nicaragua",
 "Country is Costa Rica",
 "Country is Panama"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Vicia villosa Roth"
 ]
}

 The dataset includes 6201 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051502-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qa7cag
title: Occurrence Download

description: A dataset containing 294151 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "TaxonKey is Reptilia"
 ]
}

 The dataset includes 294151 records from 258 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066576-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.95rn3w
title: Occurrence Download

description: A dataset containing 26164 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "GadmGid is USA.5_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Apis mellifera Linnaeus, 1758",
 "Year 2000-2021"
 ]
}

 The dataset includes 26164 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073738-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wcvfyj
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Aristolochia delavayi Franch."
 ]
}

 The dataset includes 24 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007575-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2dg9vq
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rhynchostegiella sakuraii Takaki"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024705-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m6p9jm
title: Occurrence Download

description: A dataset containing 136 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Atlas communaux de la Biodiversité du Parc Naturel Régional des Landes de Gascogne (PNRLG)-Inventaire des amphibiens 2014"
 ]
}

 The dataset includes 136 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061179-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wtbjem
title: Occurrence Download

description: A dataset containing 46742 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 {
 "or" : [
 "TaxonKey is Joinvilleaceae",
 "TaxonKey is Temochloa liliana S.Dransf.",
 "TaxonKey is Anomochloa Brongn.",
 "TaxonKey is Streptochaeta Schrad. ex Nees",
 "TaxonKey is Pharus P.Browne",
 "TaxonKey is Leptaspis R.Br.",
 "TaxonKey is Scrotochloa",
 "TaxonKey is Puelia Franch.",
 "TaxonKey is Guaduella Franch.",
 "TaxonKey is Streptogyna P.Beauv.",
 "TaxonKey is Ehrharta Thunb.",
 "TaxonKey is Humbertochloa A.Camus & Stapf",
 "TaxonKey is Phyllorachis Trimen",
 "TaxonKey is Zizania L.",
 "TaxonKey is Leersia Sol. ex Sw.",
 "TaxonKey is Zizaniopsis Döll & Asch.",
 "TaxonKey is Luziola Juss.",
 "TaxonKey is Rhynchoryza subulata (Nees) Baill.",
 "TaxonKey is Potamophila R.Br.",
 "TaxonKey is Maltebrunia Kunth",
 "TaxonKey is Prosphytochloa",
 "TaxonKey is Hygroryza Nees",
 "TaxonKey is Chikusichloa Koidz."
 ]
 }
 ]
}

 The dataset includes 46742 records from 431 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007575-180824113759888/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0185459.10fu
title: SH0185459.10FU

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/sh0185460.10fu
title: SH0185460.10FU

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/sh0185461.10fu
title: SH0185461.10FU

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/sh0185462.10fu
title: SH0185462.10FU

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/sh0185463.10fu
title: SH0185463.10FU

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/sh0185464.10fu
title: SH0185464.10FU

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/sh0185465.10fu
title: SH0185465.10FU

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/sh0185466.10fu
title: SH0185466.10FU

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.