cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1248750.10fu
title: SH1248750.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.5281/zenodo.18220777
title: GFLC for GNSS observables derived from the LuGRE Mission

description: Pre-processed dataset to reproduce results of the Observing the Earth’s Plasmasphere and Ionosphere from the Lunar Surface paper
DOI: 10.5281/zenodo.18220778
title: GFLC for GNSS observables derived from the LuGRE Mission

description: Pre-processed dataset to reproduce results of the Observing the Earth’s Plasmasphere and Ionosphere from the Lunar Surface paper
DOI: 10.15156/bio/sh1248751.10fu
title: SH1248751.10FU

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/sh1248752.10fu
title: SH1248752.10FU

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/sh1248753.10fu
title: SH1248753.10FU

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/sh1248754.10fu
title: SH1248754.10FU

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/sh1248759.10fu
title: SH1248759.10FU

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/sh1248763.10fu
title: SH1248763.10FU

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/sh1248764.10fu
title: SH1248764.10FU

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.mfbzeg
title: Occurrence Download

description: A dataset containing 1410183 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Quercus robur",
 "HasCoordinate is true",
 "Year is 1900,2026"
 ]
}

 The dataset includes 1410183 records from 3337 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003547-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7xqq85
title: Occurrence Download

description: A dataset containing 4157 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Bivalvia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-180 0,-150 0,-150 30,-180 30,-180 0))"
 ]
}

 The dataset includes 4157 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012231-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gx285b
title: Occurrence Download

description: A dataset containing 351832 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Persicaria amphibia (L.) Gray)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 351832 records from 1167 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0089530-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s5wg6r
title: Occurrence Download

description: A dataset containing 78369 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Canis latrans Say, 1823"
 ]
}

 The dataset includes 78369 records from 218 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0089555-240506114902167/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.26074083
title: Additional file 1 of Exploring endophytic bacteria communities of Vanilla planifolia

description: Supplementary Material 1
DOI: 10.15468/dl.uv4q46
title: Occurrence Download

description: A dataset containing 1451 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cyperus amuricus Maxim.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1451 records from 86 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0089584-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12191840
title: SUMMA/mizuRoute model configurations and parameters for global ensemble modeling

description: Meteorological forcing is a major source of uncertainty in hydrological modeling. The recent development of probabilistic large-domain meteorological datasets enables convenient uncertainty characterization, which however is rarely explored in large-domain research.  

We analyze how uncertainties in meteorological forcing data affect hydrological modeling on the global scale by forcing the Structure for Unifying Multiple Modeling Alternatives (SUMMA) and mizuRoute models with precipitation and air temperature ensembles from the Ensemble Meteorological Dataset for Planet Earth (EM-Earth). EM-Earth probabilistic estimates are used in ensemble simulation for uncertainty analysis. The global land area is divided into ~3 million sub-basins using the MERIT-Basins dataset.  

This dataset contains the SUMMA and mizuRoute configuration files (e.g., diverse land attributes, model parameters, and model physics decisions) to reproduce the global simulation results. The global land is divided into different continents, including Africa, Arctic, Europe, North America, North Asia, Oceania, SouthAmerica, and SouthAsia. Greenland is not included because of its complexity and low quality of available data. Antarctic is not included in MERIT-Basins.
DOI: 10.5281/zenodo.12191841
title: SUMMA/mizuRoute model configurations and parameters for global ensemble modeling

description: Meteorological forcing is a major source of uncertainty in hydrological modeling. The recent development of probabilistic large-domain meteorological datasets enables convenient uncertainty characterization, which however is rarely explored in large-domain research.  

We analyze how uncertainties in meteorological forcing data affect hydrological modeling on the global scale by forcing the Structure for Unifying Multiple Modeling Alternatives (SUMMA) and mizuRoute models with precipitation and air temperature ensembles from the Ensemble Meteorological Dataset for Planet Earth (EM-Earth). EM-Earth probabilistic estimates are used in ensemble simulation for uncertainty analysis. The global land area is divided into ~3 million sub-basins using the MERIT-Basins dataset.  

This dataset contains the SUMMA and mizuRoute configuration files (e.g., diverse land attributes, model parameters, and model physics decisions) to reproduce the global simulation results. The global land is divided into different continents, including Africa, Arctic, Europe, North America, North Asia, Oceania, SouthAmerica, and SouthAsia. Greenland is not included because of its complexity and low quality of available data. Antarctic is not included in MERIT-Basins.
DOI: 10.15468/dl.taj7q4
title: Occurrence Download

description: A dataset containing 86 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cyperus bellus Kunth)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 86 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0089585-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hx63w6
title: Occurrence Download

description: A dataset containing 2531815 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Japan",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 1970-2024"
 ]
}

 The dataset includes 2531815 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0089575-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tcfqsx
title: Occurrence Download

description: A dataset containing 704236 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Japan",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Insecta",
 "Year 1970-2024"
 ]
}

 The dataset includes 704236 records from 322 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0089579-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/68g6-xb72
title: A system state requirement dataset for modeling large model requirements

description: This dataset contains 100 natural language requirement documents for state machine models across various domains, including aviation control, urban construction systems, and other real-time systems. These documents describe system behaviors, state transitions, and control logic to support the design of UML state diagrams. The dataset aims to provide standardized, structured requirements for researchers and practitioners exploring automated model generation and quality assessment in software engineering.
DOI: 10.22008/fk2/ohi23z/yqdiuv
title: MB_SMB_D_BMB-1.csv

description: MB CSV. Git hash: fc3c6c5
DOI: 10.15468/dl.2k2m77
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Delphinium erlangshanicum W.T.Wang",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0263828-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22008/fk2/ohi23z/gqd3ix
title: MB_region-1.nc

description: MB region. Git hash: fc3c6c5
DOI: 10.15468/dl.jpbewb
title: Occurrence Download

description: A dataset containing 10729 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Polypodium glycyrrhiza D.C.Eaton"
 ]
}

 The dataset includes 10729 records from 110 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0254285-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mmhp9k
title: Occurrence Download

description: A dataset listing the 9 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Echinocactus platyacanthus Link & Otto"
 ]
}

 The dataset's 9 records were derived from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0266248-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22008/fk2/ohi23z/opitjb
title: MB_sector-1.nc

description: MB by sector. Git hash: fc3c6c5
DOI: 10.22008/fk2/ohi23z/chizkc
title: MB_SMB_D_BMB-1.csv

description: MB CSV. Git hash: fc3c6c5
DOI: 10.15468/dl.bkbtgp
title: Occurrence Download

description: A dataset containing 950 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Branta bernicla orientalis Tugarinov, 1941"
 ]
}

 The dataset includes 950 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0263829-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22008/fk2/ohi23z/d6awlc
title: MB_region-1.nc

description: MB region. Git hash: fc3c6c5
DOI: 10.15468/dl.eqpkrs
title: Occurrence Download

description: A dataset containing 667 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-84.42054 7.54277,-81.64531 7.54277,-81.64531 10.09364,-84.42054 10.09364,-84.42054 7.54277))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Crocodylia"
 ]
}

 The dataset includes 667 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0288781-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qn5y2s
title: Occurrence Download

description: A dataset containing 381 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Podilymbus podiceps (Linnaeus, 1758)",
 "HasCoordinate is true",
 "Country is Norway",
 "DatasetKey is Norwegian Species Observation Service",
 "Year is greater than or equal to 1990",
 "Year is less than or equal to 2022",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 381 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0254278-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22008/fk2/ohi23z/wwq0yi
title: MB_sector-1.nc

description: MB by sector. Git hash: fc3c6c5
DOI: 10.22008/fk2/ohi23z/kwy5wb
title: MB_SMB_D_BMB-1.csv

description: MB CSV. Git hash: fc3c6c5
DOI: 10.15468/dl.n6e3wc
title: Occurrence Download

description: A dataset containing 61 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Delphinium forrestii Diels",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 61 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0263830-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8kpm2w
title: Occurrence Download

description: A dataset containing 1171 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Recurvirostra avosetta Linnaeus, 1758",
 "HasCoordinate is true",
 "Country is Norway",
 "DatasetKey is Norwegian Species Observation Service",
 "Year is greater than or equal to 1990",
 "Year is less than or equal to 2022",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1171 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0254292-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pcf4rx
title: Occurrence Download

description: A dataset containing 9271 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Brazil",
 "GadmGid is BRA",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Anthus lutescens Pucheran, 1855, Anthus chii Vieillot, 1818)"
 ]
}

 The dataset includes 9271 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0266229-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22008/fk2/ohi23z/nv03iy
title: MB_region-1.nc

description: MB region. Git hash: fc3c6c5
DOI: 10.22008/fk2/ohi23z/ygahki
title: MB_sector-1.nc

description: MB by sector. Git hash: fc3c6c5