cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0193040.10fu
title: SH0193040.10FU

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/sh0193041.10fu
title: SH0193041.10FU

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/sh0193042.10fu
title: SH0193042.10FU

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/sh0193043.10fu
title: SH0193043.10FU

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/sh0193044.10fu
title: SH0193044.10FU

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/sh0193045.10fu
title: SH0193045.10FU

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/sh0193046.10fu
title: SH0193046.10FU

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/sh0193047.10fu
title: SH0193047.10FU

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/sh0193048.10fu
title: SH0193048.10FU

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: 10.25612/837.19z57m7ak5ov
title: American Community Survey (ACS) - Five-Year Estimates - Frequently Used Variables

description: Selection of variables extracted or derived from the American Community Survey (ACS) 5-year estimates.
DOI: 10.15468/dl.ivsssq
title: Occurrence Download

description: A dataset containing 566 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lutjanus jocu (Bloch & Schneider, 1801)"
 ]
}

 The dataset includes 566 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003536-160509122628363/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jm4p7g
title: Occurrence Download

description: A dataset containing 21591633 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "Geometry POLYGON((-76.25974 10.42063,-75.96655 9.10111,-77.55124 6.84413,-78.5256 1.1312,-76.50872 -0.40547,-73.86757 -1.46192,-69.73778 -3.38276,-69.01747 -0.83765,-67.86497 1.99558,-69.34474 6.96313,-72.27401 8.35573,-71.02547 11.90928,-76.25974 10.42063))"
 ]
}

 The dataset includes 21591633 records from 3117 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034839-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11637177
title: A hyperspectral and multi-angular synthetic dataset of optical properties for waters with varying trophic levels and optical complexity

description: This synthetic dataset encompasses inherent and apparent optical properties (IOPs-AOPs) alongside associated bio-geochemical constituents. The bio-optical modeling framework benefited from insights and data accumulated over the past three decades, resulting on a comprehensive dataset of in situ IOPs, including diverse water typologies, and enabling the imposition of rigorous quality standards.

Employing the Hydrolight scalar radiative transfer equation solver, we generated above-surface and submarine light fields across the specified spectral range at a “true” hyperspectral resolution (1 nm), covering the ultraviolet down to 350 nm, therefore facilitating algorithm development and assessment for present and forthcoming hyperspectral satellite missions. A condensed version of the dataset tailored to twelve Sentinel-3 OLCI bands (400 nm to 753 nm) was crafted. Derived AOPs encompass an array of above- and below-surface reflectances, diffuse attenuation coefficients, and average cosines,

A unique feature of our dataset lies in the calculation of AOPs across the complete range of solar and viewing zenith and azimuthal angles as per the Hydrolight default quadrants. This comprehensive directional coverage caters to studies investigating signal directionality, previously lacking sufficient reference data. The dataset is thus the result of 6500000 Hydrolight simulations, distributed in 5000 files, each file encapsulating a specific IOP scenario, ensuring sufficient data volume for each water type represented. In addition, angularly resolved AOPs are incorporated.
DOI: 10.5281/zenodo.11637178
title: A hyperspectral and multi-angular synthetic dataset of optical properties for waters with varying trophic levels and optical complexity

description: This synthetic dataset encompasses inherent and apparent optical properties (IOPs-AOPs) alongside associated bio-geochemical constituents. The bio-optical modeling framework benefited from insights and data accumulated over the past three decades, resulting on a comprehensive dataset of in situ IOPs, including diverse water typologies, and enabling the imposition of rigorous quality standards.

Employing the Hydrolight scalar radiative transfer equation solver, we generated above-surface and submarine light fields across the specified spectral range at a “true” hyperspectral resolution (1 nm), covering the ultraviolet down to 350 nm, therefore facilitating algorithm development and assessment for present and forthcoming hyperspectral satellite missions. A condensed version of the dataset tailored to twelve Sentinel-3 OLCI bands (400 nm to 753 nm) was crafted. Derived AOPs encompass an array of above- and below-surface reflectances, diffuse attenuation coefficients, and average cosines,

A unique feature of our dataset lies in the calculation of AOPs across the complete range of solar and viewing zenith and azimuthal angles as per the Hydrolight default quadrants. This comprehensive directional coverage caters to studies investigating signal directionality, previously lacking sufficient reference data. The dataset is thus the result of 6500000 Hydrolight simulations, distributed in 5000 files, each file encapsulating a specific IOP scenario, ensuring sufficient data volume for each water type represented. In addition, angularly resolved AOPs are incorporated.
DOI: 10.5281/zenodo.14853167
title: Derived Dataset example - Madeira fishes

description: Example to demonstrate derived dataset
DOI: 10.5281/zenodo.14853168
title: Derived Dataset example - Madeira fishes

description: Example to demonstrate derived dataset
DOI: 10.15468/dl.8xf7kc
title: Occurrence Download

description: A dataset containing 3894 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Paeonia broteri Boiss. & Reut."
 ]
}

 The dataset includes 3894 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023952-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nentxt
title: Occurrence Download

description: A dataset containing 157 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Crotalus morulus Klauber, 1952"
 ]
}

 The dataset includes 157 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023957-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.47c4q8
title: Occurrence Download

description: A dataset containing 105 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-5.01142 37.83246,-6.52617 36.5793,-4.09553 36.16329,-3.28531 36.9837,-4.25992 38.08243,-5.01142 37.83246))",
 "HasGeospatialIssue is false",
 "TaxonKey is Paeonia broteri Boiss. & Reut."
 ]
}

 The dataset includes 105 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023956-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n3mm7w
title: Occurrence Download

description: A dataset containing 3680 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "Geometry POLYGON((-10.55467 39.60468,-10.19001 38.14472,-8.41878 36.02551,-4.77214 35.73003,-0.34407 36.40378,0.9583 39.08093,-0.55245 40.60082,-7.53317 41.30899,-10.55467 39.60468))",
 "HasGeospatialIssue is false",
 "TaxonKey is Paeonia L."
 ]
}

 The dataset includes 3680 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023954-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9jvasx
title: Occurrence Download

description: A dataset containing 7633 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Pterygoplichthys Gill, 1858"
 ]
}

 The dataset includes 7633 records from 157 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023958-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.et429e
title: Occurrence Download

description: A dataset containing 45133 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cyperus eragrostis Lam., Cyperus vegetus subsp. obtusangulus Kuntze, Cyperus serrulatus S.Watson, Cyperus eragrostis subsp. tener Kük., Cyperus gracilis Buchanan, Cyperus eragrostis subsp. micronux C.B.Clarke, Cyperus eragrostis f. tener Kük., Cyperus vegetus Willd., Cyperus declinatus subsp. limbatus Druce, Cyperus vegetus var. obtusangulus Kuntze, Cyperus luzulae Hochst. ex Steud., Cyperus vegetus subsp. limbata C.B.Clarke, Cyperus eragrostis var. eragrostis, Cyperus eragrostis subsp. melanocephalus Boeckeler, Cyperus eragrostis f. latifrons Kük., Cyperus eragrostis subsp. pauperita J.M.Black, Cyperus eragrostis subsp. flaccidulus Boeckeler, Cyperus buchananii Kirk, 1878, Cyperus eragrostis subsp. humilis Miq., Cyperus eragrostis subsp. latifrons Kük., Cyperus vegetus var. trigonus Kuntze, Cyperus vegetus subsp. compactus Desv., Cyperus vegetus var. compactus Desv., Cyperus eragrostis subsp. compactus (Desv.) Kük., Cyperus eragrostis f. rubromarginatus Kük., Cyperus ochrocephalus Steud., Cyperus prionotropis Steud., Cyperus vegetus subsp. triangularis Boeck., Cyperus vegetus subsp. trigonus Kuntze, Cyperus monandrus Roth, Cyperus declinatus var. limbatus Druce, Cyperus luzulae Hochst., Cyperus vegetus var. limbata C.B.Clarke, Cyperus vegetus var. triangularis Boeckeler, Cyperus eragrostis var. spectabilis Makino, Cyperus eragrostis subsp. minor Ewart, Cyperus declinatus Moench, Cyperus eragrostis subsp. rubromarginatus Kük., Cyperus lutescens Phil., Chlorocyperus eragrostis (Lam.) Rikli, Cyperus eragrostis var. compactus (Desv.) Kük., Cyperus limbatus Maury, 1889)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 45133 records from 815 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023921-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6085/aa/marine_cbs.11.8
title: MARINe/PISCO: Intertidal: MARINe Coastal Biodiversity Surveys: Swath Surveys Summarized

description: Long-Term Monitoring and Biodiversity Surveys done by the Multi-Agency Rocky Intertidal Network (MARINe) occur throughout the year at sites ranging from Southeast Alaska to Mexico. Long Term Monitoring surveys assess within-site community change over time, while Biodiversity surveys were designed to capture among-site patterns of community structure (abundance and spatial distribution of species). In combination, the long-term, targeted species approach and the biodiversity surveys provide a wealth of information about the structure and dynamics of rocky intertidal communities along the Pacific Coast of North America.
 This metadata record documents the Swath surveys for the MARINe Biodiversity Surveys. Biodiversity surveys are comprised of four components, all sampled along the same transects: (1) point contact estimates of intertidal cover and substrate characteristics, (2) swath transects to estimate the density of seastars and abalone, (3) quadrat sampling to estimate the density of mobile invertebrates, and (4) topography (elevation relative to mean low low water (mllw)). Selected sites are resampled on a 3-5 year cycle. A site is defined as a contiguous rocky bench of at least 30m. Swath sampling consists of recording the number of seastars and abalone on eleven 2m wide transects of variable length extending from the upper intertidal to the low intertidal.
 Please note that species of concern have been removed from all public datasets, as well as data from sites funded by the National Park Service (NPS) and the United States Navy. For a comprehensive dataset, please contact the data set owner(s). For more information about the data described in this metadata record, please visit pacificrockyintertidal.org.
 The long-term California MPA boundary and project info tables referenced in this dataset can be found as a separate dataset here: https://opc.dataone.org/view/doi:10.25494/P6V884
DOI: 10.25318/3710014901-eng
title: Estimated average scores of 15-year-old students for the Programme for International Student Assessment, by gender and domain

description: Estimated average scores of 15-year-old students, by gender, and domain of assessment (reading, mathematics and science), collected every three years for the Programme for International Student Assessment (PISA), Council of Ministers of Education Canada (CMEC).
DOI: 10.15468/dl.b84xyj
title: Occurrence Download

description: A dataset containing 17794 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lactarius deliciosus (L.) Gray"
 ]
}

 The dataset includes 17794 records from 336 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023955-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25318/3710014901-fra
title: Scores moyens estimés des élèves de 15 ans, Programme international pour le suivi des acquis des élèves, selon le genre et le domaine

description: Scores moyens estimés des élèves de 15 ans, selon le genre, le domaine d'évaluation (lecture, évaluation des mathématiques et science), recueillies tous les trois ans par la Programme international pour le suivi des acquis des élèves (PISA), Canada et provinces, Conseil des ministres de l'Éducation (Canada) (CMEC).