cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.taj2at
title: Occurrence Download

description: A dataset containing 24379 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Urocyon cinereoargenteus (Schreber, 1775)"
 ]
}

 The dataset includes 24379 records from 161 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025689-241024112534372/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.cc2jmhl8
title: CCDC 2342440: Experimental Crystal Structure Determination

description: Related Article: Rimpa Mondal, Rinku Ghanta, Tania Chowdhury, Asim Bhaumik, Tanmay Chattopadhyay|2025|J.Mol.Struct.|1322|140287|doi:10.1016/j.molstruc.2024.140287
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.cc2jqv37
title: CCDC 2345649: Experimental Crystal Structure Determination

description: Related Article: Jiabin Xing, Qihan Lin, Sheng-Yi Zhuang, Gang Wu, Jiangshan Zhang, Hui Wang, Dan-Wei Zhang, Zhan-Ting Li|2024|Org.Chem.Front.|11|4094|doi:10.1039/D4QO00672K
description: Related Article: Jiabin Xing, Qihan Lin, Sheng-Yi Zhuang, Gang Wu, Jiangshan Zhang, Hui Wang, Dan-Wei Zhang, Zhan-Ting Li|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.cc2jxrz6
title: CCDC 2351349: Experimental Crystal Structure Determination

description: Related Article: zhu ming qian|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.cc2k082y
title: CCDC 2353739: Experimental Crystal Structure Determination

description: Related Article: Donglin He, Yibin Jiang, Melanie Guillén-Soler, Zack Geary, Lucia Vizcaíno-Anaya, Daniel Salley, Maria Del Carmen Gimenez-Lopez, De-Liang Long, Leroy Cronin|2024|J.Am.Chem.Soc.|146|28952|doi:10.1021/jacs.4c09553
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.cc2k083z
title: CCDC 2353740: Experimental Crystal Structure Determination

description: Related Article: Donglin He, Yibin Jiang, Melanie Guillén-Soler, Zack Geary, Lucia Vizcaíno-Anaya, Daniel Salley, Maria Del Carmen Gimenez-Lopez, De-Liang Long, Leroy Cronin|2024|J.Am.Chem.Soc.|146|28952|doi:10.1021/jacs.4c09553
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.cc2k0840
title: CCDC 2353741: Experimental Crystal Structure Determination

description: Related Article: Donglin He, Yibin Jiang, Melanie Guillén-Soler, Zack Geary, Lucia Vizcaíno-Anaya, Daniel Salley, Maria Del Carmen Gimenez-Lopez, De-Liang Long, Leroy Cronin|2024|J.Am.Chem.Soc.|146|28952|doi:10.1021/jacs.4c09553
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.cc2k0851
title: CCDC 2353742: Experimental Crystal Structure Determination

description: Related Article: Donglin He, Yibin Jiang, Melanie Guillén-Soler, Zack Geary, Lucia Vizcaíno-Anaya, Daniel Salley, Maria Del Carmen Gimenez-Lopez, De-Liang Long, Leroy Cronin|2024|J.Am.Chem.Soc.|146|28952|doi:10.1021/jacs.4c09553
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.cc2k0862
title: CCDC 2353743: Experimental Crystal Structure Determination

description: Related Article: Donglin He, Yibin Jiang, Melanie Guillén-Soler, Zack Geary, Lucia Vizcaíno-Anaya, Daniel Salley, Maria Del Carmen Gimenez-Lopez, De-Liang Long, Leroy Cronin|2024|J.Am.Chem.Soc.|146|28952|doi:10.1021/jacs.4c09553
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.cc2k0884
title: CCDC 2353745: Experimental Crystal Structure Determination

description: Related Article: Donglin He, Yibin Jiang, Melanie Guillén-Soler, Zack Geary, Lucia Vizcaíno-Anaya, Daniel Salley, Maria Del Carmen Gimenez-Lopez, De-Liang Long, Leroy Cronin|2024|J.Am.Chem.Soc.|146|28952|doi:10.1021/jacs.4c09553
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.cc2k08c7
title: CCDC 2353748: Experimental Crystal Structure Determination

description: Related Article: Donglin He, Yibin Jiang, Melanie Guillén-Soler, Zack Geary, Lucia Vizcaíno-Anaya, Daniel Salley, Maria Del Carmen Gimenez-Lopez, De-Liang Long, Leroy Cronin|2024|J.Am.Chem.Soc.|146|28952|doi:10.1021/jacs.4c09553
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.cc2k08d8
title: CCDC 2353749: Experimental Crystal Structure Determination

description: Related Article: Donglin He, Yibin Jiang, Melanie Guillén-Soler, Zack Geary, Lucia Vizcaíno-Anaya, Daniel Salley, Maria Del Carmen Gimenez-Lopez, De-Liang Long, Leroy Cronin|2024|J.Am.Chem.Soc.|146|28952|doi:10.1021/jacs.4c09553
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: 10.15468/dl.8uqgdb
title: Occurrence Download

description: A dataset containing 1424 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "Geometry POLYGON((-122.24249 37.80522,-122.16343 37.62437,-122.10495 37.53665,-122.05189 37.50199,-121.86778 37.49874,-121.68151 37.59729,-121.6122 37.83554,-121.78223 37.85179,-122.03672 37.84854,-122.24249 37.80522))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "VerbatimScientificName is one of (Vulpes macrotis mutica, Puma concolor, Lynx rufus, Cervus canadensis nannodes, Neotoma fuscipes, neotoma fuscipes annectens, Odocoileus hemionus, Odocoileus hemionus columbianus, Masticophis lateralis euryxanthus, Rana draytonii, Ambystoma californiense, Actinemys marmorata, Actinemys pallida, Taxidea taxus, Dipodomys heermanni, Dipodomys venustus)"
 ]
}

 The dataset includes 1424 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025691-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9jc62y
title: Occurrence Download

description: A dataset containing 7444 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rana arvalis Nilsson, 1842",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 7444 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025690-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7265/n5pc309v
title: Whillans Ice Stream Stick-slip
DOI: 10.7265/n5jm27k4
title: Continuous, Ultra-high Resolution WAIS-Divide Ice Core Methane Record 9.8-67.2 ka BP
DOI: 10.7265/n5ft8j0n
title: Mount Moulton Isotope Data and Other Ice Core Data
DOI: 10.7265/n5mg7mdk
title: Blue Ice Tephra II - Brimstone Peak
DOI: 10.7265/n59021pm
title: Siple Dome Highlights: Stable isotopes
DOI: 10.15468/dl.45cab3
title: Occurrence Download

description: A dataset containing 6717 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Caracara plancus cheriway (Jacquin, 1784)"
 ]
}

 The dataset includes 6717 records from 274 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025692-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0175216.10fu
title: SH0175216.10FU

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/sh0175217.10fu
title: SH0175217.10FU

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/sh0175218.10fu
title: SH0175218.10FU

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/sh0175219.10fu
title: SH0175219.10FU

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/sh0175220.10fu
title: SH0175220.10FU

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: 10.57903/uj/wp3uyt
title: Anonymized interviews with experts in political science and business concerning the role of Nepal as a small power
title: Anonimowe wywiady z ekspertami w dziedzinie nauk politycznych i biznesu dotyczące roli Nepalu jako małej potęgi

description: Celem zbioru danych było zdobycie eksperckiej informacji na temat polityki i percepcji sytuacji gospodarczej Nepalu w ramach badań naukowych prowadzonych podczas realizacji działania badawczego Miniatura-5 pt. "Pomiędzy sprawczością a schronieniem: rola „małych potęg” w ewoluującym ładzie międzynarodowym. Nepal jako studium przypadku" (Narodowe Centrum Nauki 2021/05/X/HS5/00851).
Dane obejmują dwa wywiady anonimizowane (z osobą zajmującą się naukowo naukami politycznymi oraz osobą reprezentującą środowisko biznesowe), przeprowadzone podczas wyjazdu badawczego. Fragmenty tych wywiadów zostały wykorzystane w publikacji.
DOI: 10.15156/bio/sh0175221.10fu
title: SH0175221.10FU

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/sh0175222.10fu
title: SH0175222.10FU

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/sh0175223.10fu
title: SH0175223.10FU

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/sh0175224.10fu
title: SH0175224.10FU

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/sh0175225.10fu
title: SH0175225.10FU

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.