cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0169998.10fu
title: SH0169998.10FU

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/sh0169999.10fu
title: SH0169999.10FU

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/sh0170000.10fu
title: SH0170000.10FU

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/sh0170001.10fu
title: SH0170001.10FU

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/sh0170002.10fu
title: SH0170002.10FU

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/sh0170003.10fu
title: SH0170003.10FU

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/sh0170004.10fu
title: SH0170004.10FU

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/sh0170005.10fu
title: SH0170005.10FU

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/sh0170006.10fu
title: SH0170006.10FU

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.5wku55
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cherax destructor",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Specimen, Machine Observation)",
 "Year is greater than or equal to 1980",
 "Geometry POLYGON((-25 35, 50 35, 50 75, -25 75, -25 35))"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005661-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uxa8wn
title: Occurrence Download

description: A dataset containing 1078 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Harpullia pendula",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 1078 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005662-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.adkedr
title: Occurrence Download

description: A dataset containing 105188 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is 2017",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Country is United Kingdom of Great Britain and Northern Ireland",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 105188 records from 89 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005630-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gyj239
title: Occurrence Download

description: A dataset containing 8396 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Bubulcus ibis)",
 "Geometry POLYGON((55.000000 4.000000, 157.000000 4.000000, 157.000000 73.000000, 55.000000 73.000000, 55.000000 4.000000))",
 "Month is one of (May, June, July)",
 "Year is greater than or equal to 2014",
 "Year is less than or equal to 2024",
 "HasCoordinate is true",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is null",
 "CoordinateUncertaintyInMeters is less than or equal to 5000"
 ]
 },
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation, Specimen)"
 ]
}

 The dataset includes 8396 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005663-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.asqfrs
title: Occurrence Download

description: A dataset containing 948036 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "Geometry POLYGON((-5.74159 37.0964,-6.46211 36.79008,-6.23216 36.33449,-5.6956 35.97552,-5.18969 36.07471,-5.04406 36.45172,-5.74159 37.0964))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 948036 records from 169 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005629-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18596409
title: A bibliometric study of linguistic evaluation research and its implications (1992–2023)

description: This dataset contains the data analyzed in a study of linguistic evaluation research.
DOI: 10.15468/dl.3552jd
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Moenkhausia robertsi",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 10 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005664-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gwamj8
title: Occurrence Download

description: A dataset containing 12421 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scoparia dulcis",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 12421 records from 452 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005665-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y6tzm3
title: Occurrence Download

description: A dataset containing 1080 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is Chinese Taipei",
 "OccurrenceStatus is Present",
 "TaxonKey is Gynura"
 ]
}

 The dataset includes 1080 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005668-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wc8367
title: Occurrence Download

description: A dataset containing 8636 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Xenopus laevis",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 }
 ]
}

 The dataset includes 8636 records from 90 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005667-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2ghkp7
title: CCDC 2279079: Experimental Crystal Structure Determination

description: Related Article: Ke Wang, Xinwen Ou, Xiaofei Niu, Zhenghao Wang, Fengyan Song, Xiaobin Dong, Wu‑jie Guo, Hui‑Qing Peng, Zujin Zhao, Jacky W. Y. Lam, Jianwei Sun, Hongkai Wu, Shu‑Yan Yu, Fei Li, Ben Zhong Tang
|2024|Aggregate|6|e667|doi:10.1002/agt2.667
description: Related Article: XiaoFei Niu|2024|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2ghkq8
title: CCDC 2279080: Experimental Crystal Structure Determination

description: Related Article: Ke Wang, Xinwen Ou, Xiaofei Niu, Zhenghao Wang, Fengyan Song, Xiaobin Dong, Wu‑jie Guo, Hui‑Qing Peng, Zujin Zhao, Jacky W. Y. Lam, Jianwei Sun, Hongkai Wu, Shu‑Yan Yu, Fei Li, Ben Zhong Tang
|2024|Aggregate|6|e667|doi:10.1002/agt2.667
description: Related Article: XiaoFei Niu|2024|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2ly9kf
title: CCDC 2411445: Experimental Crystal Structure Determination

description: Related Article: Aleksandra D. Valueva, Sergei A. Novikov, Yujie Zhang, Hunter B. Tisdale, Alevtina A. Maksimova, Mikhail Parker, Vladimir Reukov, Vladislav V. Klepov|2025|ACS Materials Lett.|7|2814|doi:10.1021/acsmaterialslett.5c00784
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2ly9pk
title: CCDC 2411449: Experimental Crystal Structure Determination

description: Related Article: Aleksandra D. Valueva, Sergei A. Novikov, Yujie Zhang, Hunter B. Tisdale, Alevtina A. Maksimova, Mikhail Parker, Vladimir Reukov, Vladislav V. Klepov|2025|ACS Materials Lett.|7|2814|doi:10.1021/acsmaterialslett.5c00784
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2lyjbf
title: CCDC 2411655: Experimental Crystal Structure Determination

description: Related Article: Hui-Min Zhu, Tong Lei, Zhi-Xin Liao, Jia-Chen Xiang, An-Xin Wu |2025|Communications Chemistry|8|152|doi:10.1038/s42004-025-01528-9
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2m3kbn
title: CCDC 2416491: Experimental Crystal Structure Determination

description: Related Article: Ligia Breda e Vasconcelos, Samuel Filipe Cardoso de Paula, Pedro Henrique de Oliveira Santiago, Javier Ellena, André Luiz Meleiro Porto|2026|Tetrahedron|193||doi:10.1016/j.tet.2026.135150
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2m3kcp
title: CCDC 2416492: Experimental Crystal Structure Determination

description: Related Article: Ligia Breda e Vasconcelos, Samuel Filipe Cardoso de Paula, Pedro Henrique de Oliveira Santiago, Javier Ellena, André Luiz Meleiro Porto|2026|Tetrahedron|193||doi:10.1016/j.tet.2026.135150
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2m3kdq
title: CCDC 2416493: Experimental Crystal Structure Determination

description: Related Article: Ligia Breda e Vasconcelos, Samuel Filipe Cardoso de Paula, Pedro Henrique de Oliveira Santiago, Javier Ellena, André Luiz Meleiro Porto|2026|Tetrahedron|193||doi:10.1016/j.tet.2026.135150
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2qh4hw
title: CCDC 2516998: Experimental Crystal Structure Determination

description: Related Article: LL W|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.31305760
title: ASP_Supplier_selection_data_set

description: This dataset provides a comprehensive framework for modeling <b>sustainable and resilient supply chain networks</b>. It is designed to support researchers and practitioners in testing optimization algorithms, specifically addressing the challenges of supplier selection under conditions of potential disruption and stringent environmental and social governance (ESG) constraints.
DOI: 10.6084/m9.figshare.31305760.v1
title: ASP_Supplier_selection_data_set

description: This dataset provides a comprehensive framework for modeling <b>sustainable and resilient supply chain networks</b>. It is designed to support researchers and practitioners in testing optimization algorithms, specifically addressing the challenges of supplier selection under conditions of potential disruption and stringent environmental and social governance (ESG) constraints.
DOI: 10.5281/zenodo.18596600
title: Reframing gullies as recharge zones in dryland landscapes of the Loess Plateau, China
DOI: 10.5281/zenodo.18596599
title: Reframing gullies as recharge zones in dryland landscapes of the Loess Plateau, China