cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.x2pdnj
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dieffenbachia yanamonense Croat"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0175035-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4jnug3
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dierama parviflorum Marais"
 ]
}

 The dataset includes 23 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0175131-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d4tyy3
title: Occurrence Download

description: A dataset containing 139 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dieffenbachia elegans A.M.E.Jonker & Jonker"
 ]
}

 The dataset includes 139 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0174950-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5u9r7t
title: Occurrence Download

description: A dataset containing 228306 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ciconia ciconia (Linnaeus, 1758)"
 ]
}

 The dataset includes 228306 records from 352 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001255-171020152545675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/independent-c69-9688
title: Adams, Dr. Reed (2 of 3), 1980-1991

description: Adams, Dr. Reed (2 of 3), 1980 July - 1991 July 4. PART OF A SERIES: The staff of Gibson, Dunn & Crutcher coordinated witness interviews and conducted an extensive review of complaints filed against LAPD officers. Included in the series are summaries of witness interviews, statistics and investigative reports related to citizen complaints, an analysis on adjudicated cases involving use-of-force complaints, reports regarding LAPD's recruitment of African American officers and community oriented policing, and an excerpt from Malcolm Sparrow's Beyond 9-1-1. Also included are materials related to the firm's work product, including attorney notes, work plans, memoranda, and drafts of chapters for the Commission report.
DOI: 10.15468/dl.6x9vr5
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dieffenbachia fournieri N.E.Br."
 ]
}

 The dataset includes 18 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0174961-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tx8d9s
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dieffenbachia daguensis Engl."
 ]
}

 The dataset includes 13 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0174945-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4ugwhd
title: Occurrence Download

description: A dataset containing 87 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dieffenbachia costata Klotzsch ex Schott"
 ]
}

 The dataset includes 87 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0174941-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fdqahg
title: Occurrence Download

description: A dataset containing 8013 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-167.00073 52.60029,-145.11741 51.80512,-128.9818 38.638,-112.10407 16.65838,-90.77967 13.72202,-118.96807 55.33009,-168.45847 71.29109,-167.00073 52.60029))",
 "HasGeospatialIssue is false",
 "TaxonKey is Mirounga Gray, 1827"
 ]
}

 The dataset includes 8013 records from 91 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0174956-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1084188.10fu
title: SH1084188.10FU

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/sh1084190.10fu
title: SH1084190.10FU

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/sh1084192.10fu
title: SH1084192.10FU

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/sh1084194.10fu
title: SH1084194.10FU

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/sh1084198.10fu
title: SH1084198.10FU

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/sh1084199.10fu
title: SH1084199.10FU

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/sh1084201.10fu
title: SH1084201.10FU

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/sh1084202.10fu
title: SH1084202.10FU

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/sh1084203.10fu
title: SH1084203.10FU

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/sh1084204.10fu
title: SH1084204.10FU

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: 10.5517/ccdc.csd.cc2bbxtf
title: CCDC 2155455: Experimental Crystal Structure Determination

description: Related Article: Estefanía Tiburcio, Yongkun Zheng, Marta Mon, Nuria Martín, Jesús Ferrando−Soria, Donatella Armentano, Antonio Leyva−Pérez, Emilio Pardo|2022|Inorg.Chem.|61|11796|doi:10.1021/acs.inorgchem.2c01508
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.cc2bbxvg
title: CCDC 2155456: Experimental Crystal Structure Determination

description: Related Article: Estefanía Tiburcio, Yongkun Zheng, Marta Mon, Nuria Martín, Jesús Ferrando−Soria, Donatella Armentano, Antonio Leyva−Pérez, Emilio Pardo|2022|Inorg.Chem.|61|11796|doi:10.1021/acs.inorgchem.2c01508
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.cc29gs1m
title: CCDC 2129360: Experimental Crystal Structure Determination

description: Related Article: Yuan Wang, Dian Niu, Guanghui Ouyang, Minghua Liu|2022|Nat.Commun.|13|1710|doi:10.1038/s41467-022-29396-0
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.cc2bqd8r
title: CCDC 2166474: Experimental Crystal Structure Determination

description: Related Article: Mihaela Turtoi, Maria Anghelache, Andrei A. Patrascu, Mariana Deleanu, Geanina Voicu, Mihai Raduca, Florentina Safciuc, Ileana Manduteanu, Manuela Calin, Delia-Laura Popescu|2022|Biomedicines|10|1217|doi:10.3390/biomedicines10061217
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.cc2bqdt9
title: CCDC 2166491: Experimental Crystal Structure Determination

description: Related Article: Sung Hyun Yoo, Jintaek Gong, Lianjin Zhang, Jin Kim, Hee-Seung Lee|2022|Bull.Korean Chem.Soc.|43|1278|doi:10.1002/bkcs.12615
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.cc2bqdvb
title: CCDC 2166492: Experimental Crystal Structure Determination

description: Related Article: Sung Hyun Yoo, Jintaek Gong, Lianjin Zhang, Jin Kim, Hee-Seung Lee|2022|Bull.Korean Chem.Soc.|43|1278|doi:10.1002/bkcs.12615
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.cc2bqfdx
title: CCDC 2166509: Experimental Crystal Structure Determination

description: Related Article: M. John Plater, William T. A. Harrison|2022|ChemistryOpen|11|e202200092|doi:10.1002/open.202200092
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: 10.25505/fiz.icsd.cc2bqh2n
title: CSD 2166561: Experimental Crystal Structure Determination

description: Related Article: Rokas Kondrotas, Remigijus JuA A!kA a  nas, ArA A<<nas Krotkus, Vidas PakA A!tas, ArtA A<<ras Suchodolskis, Algirdas Mekys, Marius FranckeviA i?{1/2}ius, Martynas Talaikis, Katri Muska, Xiaofeng Li, Marit Kauk-Kuusik, Victor Kravtsov|2023|Open Res. Europe|2|138|
description: Related Article: Rokas Kondrotas, Remigijus Juškėnas, Arūnas Krotkus, Vidas Pakštas, Artūras Suchodolskis, Algirdas Mekys, Marius Franckevičius, Martynas Talaikis, Katri Muska, Xiaofeng Li, Marit Kauk-Kuusik, Victor Kravtsov|2022|Open Res. Europe|2|138|doi:10.12688/openreseurope.15168.2
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bqh3p
title: CCDC 2166562: Experimental Crystal Structure Determination

description: Related Article: Zhonghua Qu, Tong Tian, Yongbo Tan, Xiaochen Ji, Guo-Jun Deng, Huawen Huang|2022|Green Chemistry|24|7403|doi:10.1039/D2GC01966C
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.cc2bqh4q
title: CCDC 2166563: Experimental Crystal Structure Determination

description: Related Article: Zhonghua Qu, Tong Tian, Yongbo Tan, Xiaochen Ji, Guo-Jun Deng, Huawen Huang|2022|Green Chemistry|24|7403|doi:10.1039/D2GC01966C
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.cc2bqh5r
title: CCDC 2166564: Experimental Crystal Structure Determination

description: Related Article: Olga S. Tyumentseva, Ilya V. Kornyakov, Anatoly V. Kasatkin, Jakub Plášil, Maria G. Krzhizhanovskaya, Sergey V. Krivovichev, Peter C. Burns, Vladislav V. Gurzhiy|2022|Materials|15|6643|doi:10.3390/ma15196643
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.