cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0214242.10fu
title: SH0214242.10FU

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/sh0214243.10fu
title: SH0214243.10FU

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/sh0214244.10fu
title: SH0214244.10FU

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/sh0214245.10fu
title: SH0214245.10FU

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/sh0214246.10fu
title: SH0214246.10FU

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/sh0214247.10fu
title: SH0214247.10FU

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/sh0214248.10fu
title: SH0214248.10FU

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/sh0214249.10fu
title: SH0214249.10FU

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/sh0214250.10fu
title: SH0214250.10FU

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/sh0214251.10fu
title: SH0214251.10FU

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: 10.15128/r1w0892b01b
title: Magnetism in M1/3NbS2 (M = Fe, V, Mn): insight into intercalated transition-metal dichalcogenides using µSR [dataset]

description: The data have been grouped by figure, with all the computational results regarding the muon sites and hyperfine couplings at the muon site stored in a separate "muon_sites" file. In addition to this, the raw data measured at the ISIS Neutron and Muon Source can be obtained from the following DOI after 2026/02/19: https://doi.org/10.5286/ISIS.E.RB2220176
description: We present the results of muon-spin relaxation (µSR) measurements of the static and dynamic magnetism of M1/3NbS2 (M = Fe, V, Mn), three intercalated transition-metal dichalcogenides. Transitions to long-range magnetic order are observed in all three materials and local magnetic fields at muon sites are compared to dipole field calculations. Measurements on Fe1/3NbS2 capture the evolution of two coexisting magnetic phases. In V1/3NbS2 we observe a peak in the dynamic response at 9 K, coincident with previous reports of a possible low-temperature phase transition. The observation of high-frequency muon precession in Mn1/3NbS2 suggests the existence of an additional muon site that implies a difference in electronic energy landscape compared to the other materials in the series. Taken together, this demonstrates that the change in intercalant species drives significant variations in magnetism, highlighting the M1/3NbS2 series as an ideal group of materials for investigating a wide range of magnetic phenomena.
DOI: 10.15468/dl.p9bvcw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Casuariiformes)",
 "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((30 -30,60 -30,60 0,30 0,30 -30))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057509-250920141307145/datasets/export for details.
DOI: 10.34740/kaggle/dsv/13288386
title: Full TMDB Movies Dataset 2024 (1M Movies)
DOI: 10.15468/dl.d7huxj
title: Occurrence Download

description: A dataset containing 250572 records in GBIF matching the query:
SELECT
 "year",
 GBIF_MGRSCode(1000, decimalLatitude, decimalLongitude,
 COALESCE(coordinateUncertaintyInMeters, 1000)) AS mgrsCode,
 speciesKey,
 species,
 "order",
 family,
 genus,
 COUNT(*) AS n,
 MIN(COALESCE(coordinateUncertaintyInMeters, 0)) AS minCoordinateUncertaintyInMeters,
 IF(ISNULL("order"), NULL, SUM(COUNT(*)) OVER (PARTITION BY "order")) AS orderCount,
 IF(ISNULL(family), NULL, SUM(COUNT(*)) OVER (PARTITION BY family)) AS familyCount,
 IF(ISNULL(genus), NULL, SUM(COUNT(*)) OVER (PARTITION BY genus)) AS genusCount
 FROM
 occurrence
 WHERE
 occurrenceStatus = 'PRESENT'
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND level1gid = 'BEL.2_1'
 AND "year" &gt;= 2007
 AND "year" &lt;= 2022
 AND speciesKey IS NOT NULL
 AND decimalLatitude IS NOT NULL
 AND decimalLongitude IS NOT NULL
 AND class = 'Aves'
 AND collectionCode != 'ABV'
 AND coordinateUncertaintyInMeters &lt;= 1000
 GROUP BY
 "year",
 mgrsCode,
 speciesKey,
 "order",
 family,
 genus,
 species
 ORDER BY
 "year" ASC,
 mgrsCode ASC,
 speciesKey ASC

 The dataset's 250572 records were derived from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057467-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15188288
title: How Natural Language Proficiency Shapes GenAI Code for Software Engineering Tasks
DOI: 10.5281/zenodo.17285168
title: How Natural Language Proficiency Shapes GenAI Code for Software Engineering Tasks
DOI: 10.15468/dl.bynef7
title: Occurrence Download

description: A dataset listing the 455645 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is iNaturalist Research-grade Observations"
 ]
}

 The dataset's 455645 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057489-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vren37
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dahlia imperialis",
 "Country is India",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057510-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vkfg7b
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dahlia imperialis",
 "Country is Malawi",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057511-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cumkmg
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dahlia imperialis",
 "Country is South Africa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 14 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057512-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17638/datacat.liverpool.ac.uk/3044
title: SSAT_Influence_of_Aluminium_Incorporation_140825

description: Data set supporting paper
DOI: 10.15468/dl.sfrbce
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Casuariiformes)",
 "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((0 -30,30 -30,30 0,0 0,0 -30))"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057513-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17284863
title: Surgical-Synthetic-Data-Generation-and-Segmentation

description: This dataset contains synthetic, Generative AI enhanced and real images, with their labels, for Computer Vision in robotic surgery. It is part of ongoing research on sim-to-real applications in surgical robotics.



The paper including synthetic and real images has been published:  "A reproducible framework for synthetic data generation and instance segmentation in robotic suturing", Journal: International Journal of Computer Assisted Radiology and Surgery, DOI: 10.1007/s11548-025-03460-8

The paper including synthetic, TURBO-Enhanced, and real images is under review for publication


For further information see the repository on GitHub: https://github.com/PietroLeoncini/Surgical-Synthetic-Data-Generation-and-Segmentation
DOI: 10.15468/dl.xpgbct
title: Occurrence Download

description: A dataset containing 189061 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Galliformes)",
 "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((-60 -30,-30 -30,-30 0,-60 0,-60 -30))"
 ]
}

 The dataset includes 189061 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057446-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17285201
title: Validation of ESA CCI SM combined v09.2 vs ISMN 20250617 global

description: QA4SM validation: ESA CCI SM combined v09.2 vs ISMN 20250617 global. URL: https://qa4sm.eu/ui/validation-result/0e727f3f-c6ef-4a3f-90b2-f257ba709bfc. Produced on QA4SM (https://qa4sm.eu)
DOI: 10.5281/zenodo.17285202
title: Validation of ESA CCI SM combined v09.2 vs ISMN 20250617 global

description: QA4SM validation: ESA CCI SM combined v09.2 vs ISMN 20250617 global. URL: https://qa4sm.eu/ui/validation-result/0e727f3f-c6ef-4a3f-90b2-f257ba709bfc. Produced on QA4SM (https://qa4sm.eu)
DOI: 10.15468/7pqccg
title: BCCM/MUCL - Agro-food & Environmental Fungal Collection

description: BCCM/MUCL develops and preserves the collection of filamentous fungi, yeasts and arbuscular mycorrhizal fungi, as well as the associated information, facilitates its valorization and provides services to third parties.
DOI: 10.5281/zenodo.14671905
title: Surgical-Synthetic-Data-Generation-and-Segmentation

description: This dataset contains synthetic, Generative AI enhanced and real images, with their labels, for Computer Vision in robotic surgery. It is part of ongoing research on sim-to-real applications in surgical robotics.



The paper including synthetic and real images has been published:  "A reproducible framework for synthetic data generation and instance segmentation in robotic suturing", Journal: International Journal of Computer Assisted Radiology and Surgery, DOI: 10.1007/s11548-025-03460-8

The paper including synthetic, TURBO-Enhanced, and real images is under review for publication


For further information see the repository on GitHub: https://github.com/PietroLeoncini/Surgical-Synthetic-Data-Generation-and-Segmentation
DOI: 10.5281/zenodo.14671906
title: Surgical-Synthetic-Data-Generation-and-Segmentation

description: This dataset contains synthetic and real images, with their labels, for Computer Vision in robotic surgery. It is part of ongoing research on sim-to-real applications in surgical robotics.

The paper has been published:  "A reproducible framework for synthetic data generation and instance segmentation in robotic suturing", Journal: International Journal of Computer Assisted Radiology and Surgery, DOI: 10.1007/s11548-025-03460-8

For further information see the repository on GitHub: https://github.com/PietroLeoncini/Surgical-Synthetic-Data-Generation-and-Segmentation
DOI: 10.15468/dl.grawth
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Casuariiformes)",
 "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((-30 -30,0 -30,0 0,-30 0,-30 -30))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057516-250920141307145/datasets/export for details.
DOI: 10.15468/dl.wkx5rj
title: Occurrence Download

description: A dataset containing 60 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is Netherlands",
 "Geometry POLYGON((5.40651 52.83577,6.27066 52.83577,6.27066 53.3644,5.40651 53.3644,5.40651 52.83577))",
 "OccurrenceStatus is Present",
 "TaxonKey is Natrix helvetica",
 "Year 1975-2000"
 ]
}

 The dataset includes 60 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057519-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.