cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0193125.10fu
title: SH0193125.10FU

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/sh0193126.10fu
title: SH0193126.10FU

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/sh0193127.10fu
title: SH0193127.10FU

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/sh0193128.10fu
title: SH0193128.10FU

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/sh0193129.10fu
title: SH0193129.10FU

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: 10.6084/m9.figshare.31040959
title: Institutional Evolution and Economic Growth in South Korea and the Philippines: A Comparative Empirical Chronological Application of Acemoglu and Robinson's Institutions Theory.

description: The data is the dataset from Institutional Evolution and Economic Growth in South Korea and the Philippines: A Comparative Empirical Chronological Application of Acemoglu and Robinson's Institutions Theory.
DOI: 10.6084/m9.figshare.31040959.v1
title: Institutional Evolution and Economic Growth in South Korea and the Philippines: A Comparative Empirical Chronological Application of Acemoglu and Robinson's Institutions Theory.

description: The data is the dataset from Institutional Evolution and Economic Growth in South Korea and the Philippines: A Comparative Empirical Chronological Application of Acemoglu and Robinson's Institutions Theory.
DOI: 10.15156/bio/sh0193130.10fu
title: SH0193130.10FU

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/sh0193131.10fu
title: SH0193131.10FU

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/sh0193132.10fu
title: SH0193132.10FU

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/sh0193133.10fu
title: SH0193133.10FU

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: 10.15482/usda.adc/30223504
title: Data from: Bee communities and patterns in flower visitation in crested wheatgrass seedings in eastern Oregon sagebrush steppe

description: We collected data on bee communities with two methods (pan traps and netting) across paired plots in and outside historic seedings of the non-native perennial grass, crested wheatgrass, in eastern Oregon sagebrush steppe. Included here are two datasets in spreadsheet form associated with this study:BeeOccurrence: This dataset describes all of bees collected for this study. Most are identified to species. Each individual bee is associated with a collection location, the date and time, and the bee sampling method (pan traps versus netting). For netting samples, we included the plant species the bee was collected on. All bees are vouchered at the Utah National Pollinating Insects Collection.LifeHistoryTraits; This dataset describes traits by bee species for all bees collected in the study. The dataset includes a metadata sheet, broken down by trait category. The metadata describe and define each trait and lists all publications screened for trait data.
DOI: 10.15482/usda.adc/30223504.v1
title: Data from: Bee communities and patterns in flower visitation in crested wheatgrass seedings in eastern Oregon sagebrush steppe

description: We collected data on bee communities with two methods (pan traps and netting) across paired plots in and outside historic seedings of the non-native perennial grass, crested wheatgrass, in eastern Oregon sagebrush steppe. Included here are two datasets in spreadsheet form associated with this study:BeeOccurrence: This dataset describes all of bees collected for this study. Most are identified to species. Each individual bee is associated with a collection location, the date and time, and the bee sampling method (pan traps versus netting). For netting samples, we included the plant species the bee was collected on. All bees are vouchered at the Utah National Pollinating Insects Collection.LifeHistoryTraits; This dataset describes traits by bee species for all bees collected in the study. The dataset includes a metadata sheet, broken down by trait category. The metadata describe and define each trait and lists all publications screened for trait data.
DOI: 10.5281/zenodo.14178588
title: 19232_2020_10_02_downUpshift_twice_2_0_2_glu_ura8_phluorinMsn2_phluorinMig1_01 (part 1)

description: High throughput time lapse experiment. Details can be found on the 'txt' files inside.
DOI: 10.5281/zenodo.14178589
title: 19232_2020_10_02_downUpshift_twice_2_0_2_glu_ura8_phluorinMsn2_phluorinMig1_01 (part 1)

description: High throughput time lapse experiment. Details can be found on the 'txt' files inside.
DOI: 10.15468/dl.5z3h2q
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Caltha sibirica Makino"
 ]
}

 The dataset includes 47 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019742-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14178846
title: Bremen Sonnen Apotheke

description: Historical questionnaire/s 1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963 [Funktion: Im Findbuch anzeigen]Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht werden dürfen).
DOI: 10.4121/77363d00-f68c-4da7-b32e-3aabe957ef98
title: Data underlying the publication: "A handheld fiber-optic tissue sensing device for spine surgery"

description: Data underlying the publication: "A handheld fiber-optic tissue sensing device for spine surgery" (CAD files, PCB schematic) The paper will provide all the information necessary to use these files.
DOI: 10.4121/77363d00-f68c-4da7-b32e-3aabe957ef98.v2
title: Data underlying the publication: "A handheld fiber-optic tissue sensing device for spine surgery"

description: Data underlying the publication: "A handheld fiber-optic tissue sensing device for spine surgery" (CAD files, PCB schematic) The paper will provide all the information necessary to use these files.
DOI: 10.15468/dl.6q2gg6
title: Occurrence Download

description: A dataset containing 1326 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Coptidium pallasii (Schltdl.) Á.Löve & D.Löve"
 ]
}

 The dataset includes 1326 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019743-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34622/datarepositorium/enhjqz
title: HOSPI Application to Portuguese Hospitals 2023

description: This dataset contains the results of applying the Hospital Online Service Provision Index (HOSPI) to Portuguese Hospitals' websites in 2023.
DOI: 10.5517/ccdc.csd.cc2fjb8l
title: CCDC 2250019: Experimental Crystal Structure Determination

description: Related Article: Robert M. Hakobyan, Aleksan G. Shahkhatuni, Mikhail V. Polynski, Armen G. Ayvazyan, Ashkharuhi G. Aleksanyan, Lilit A. Bichakhchyan, Astghik A. Shahkhatuni, Hovhannes S. Attaryan|2025|J.Mol.Struct.|1322|140350|doi:10.1016/j.molstruc.2024.140350
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.cc2fjqk8
title: CCDC 2250400: Experimental Crystal Structure Determination

description: Related Article: Yong Shen, Lianghu Gu, Qun Zhou, Xiaotian Zhang, Mengru Yu, Qin Li, Yu Liang, Chunmei Chen, Yonghui Zhang, Hucheng Zhu|2024|Phytochemistry|229|114303|doi:10.1016/j.phytochem.2024.114303
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.cc2flhl4
title: CCDC 2252106: Experimental Crystal Structure Determination

description: Related Article: Yong Shen, Lianghu Gu, Qun Zhou, Xiaotian Zhang, Mengru Yu, Qin Li, Yu Liang, Chunmei Chen, Yonghui Zhang, Hucheng Zhu|2024|Phytochemistry|229|114303|doi:10.1016/j.phytochem.2024.114303
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.cc2ggh4l
title: CCDC 2278039: Experimental Crystal Structure Determination

description: Related Article: Lisha Yuan, Qinrong Yang, Sha Li, Ningjin Zhang, Xiaoping Bao|2025|J.Mol.Struct.|1322|140442|doi:10.1016/j.molstruc.2024.140442
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.cc2gghct
title: CCDC 2278046: Experimental Crystal Structure Determination

description: Related Article: Lisha Yuan, Qinrong Yang, Sha Li, Ningjin Zhang, Xiaoping Bao|2025|J.Mol.Struct.|1322|140442|doi:10.1016/j.molstruc.2024.140442
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.cc2gghdv
title: CCDC 2278047: Experimental Crystal Structure Determination

description: Related Article: Lisha Yuan, Qinrong Yang, Sha Li, Ningjin Zhang, Xiaoping Bao|2025|J.Mol.Struct.|1322|140442|doi:10.1016/j.molstruc.2024.140442
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.cc2j0m5c
title: CCDC 2324292: Experimental Crystal Structure Determination

description: Related Article: Yi-Ting Shen, Yan Zhang, Cheng-Long Ji, Cong-Yu Zhang, Xiang Wang, Man-Su Tu, Bo Jiang, Wen-Juan Hao|2024|J.Org.Chem.|89|15447|doi:10.1021/acs.joc.4c01308
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.cc2j26b5
title: CCDC 2325816: Experimental Crystal Structure Determination

description: Related Article: Jingjing Chen, Yu Jin, Jialing Fu, Cheng Jiang, Zhenhua Ding|2024|J.Org.Chem.|89|15884|doi:10.1021/acs.joc.4c02023
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.cc2cykpl
title: CCDC 2203160: Experimental Crystal Structure Determination

description: Related Article: Jonah P. Stiel, Wade C. Henke, William N. G. Moore, Nathaniel M. Barker, Allen G. Oliver, Victor W. Day, James D. Blakemore|2024|Dalton Trans.|53|16956|doi:10.1039/D4DT01766H
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.cc2k9q4r
title: CCDC 2362824: Experimental Crystal Structure Determination

description: Related Article: Aishwarya Chauhan, Priyanka Chauhan, Ravi Shankar|2024|Dalton Trans.|53|17014|doi:10.1039/D4DT02229G
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.cc2ktvr0
title: CCDC 2378343: Experimental Crystal Structure Determination

description: Related Article: Shuyi Guo, Wenbo Deng, Xiaochang Xiao, Jingru Xia, Xing Yang, Yun Liang, Yuan Yang|2024|Org.Lett.|26|9389|doi:10.1021/acs.orglett.4c03663
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.