cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.r6fhbw
title: Occurrence Download

description: A dataset containing 54 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-76.1507313000000039 42.9803613999999996, -76.1507313000000039 42.9813112399999966, -76.1507313000000039 42.9824646300000026, -76.1507313000000039 42.9834144699999996, -76.1507313000000039 42.9845000099999979, -76.1507313000000039 42.9855855400000024, -76.1507313000000039 42.9871460000000027, -76.1490985599999988 42.9871460000000027, -76.1480779700000028 42.9871460000000027, -76.1465811099999996 42.9871460000000027, -76.1454924899999952 42.9871460000000027, -76.1437915099999998 42.9871460000000027, -76.1425669999999997 42.9871460000000027, -76.1425669999999997 42.9858569299999971, -76.1425669999999997 42.9851784700000010, -76.1425669999999997 42.9839572400000023, -76.1425669999999997 42.9831430899999987, -76.1425669999999997 42.9819896999999997, -76.1425669999999997 42.9803613999999996, -76.1444038599999971 42.9803613999999996, -76.1456285600000058 42.9803613999999996, -76.1472614999999990 42.9803613999999996, -76.1486222799999979 42.9803613999999996, -76.1507313000000039 42.9803613999999996))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 54 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0094782-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x2ptqb
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tulipa vvedenskyi Botschantz.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 12 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073172-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sm6tr7
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Opalia velumnuptialis E.F.García, 2004"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0094791-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mnf3ec
title: Occurrence Download

description: A dataset containing 326 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "TaxonKey is Panicum dichotomiflorum Michx."
 ]
}

 The dataset includes 326 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0111323-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ywh8m6
title: Occurrence Download

description: A dataset containing 82 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Skenea rugulosa (G.O.Sars, 1878)"
 ]
}

 The dataset includes 82 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0099210-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bwnmn4
title: Occurrence Download

description: A dataset containing 7292 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-80.6163298999999967 41.0273413000000033, -80.6163298999999967 41.0398696199999975, -80.6163298999999967 41.0477822399999965, -80.6163298999999967 41.0622887099999971, -80.6163298999999967 41.0748170199999976, -80.6163298999999967 41.0827296399999966, -80.6163298999999967 41.0932797999999977, -80.6051285100000001 41.0932797999999977, -80.5893155100000058 41.0932797999999977, -80.5807501299999984 41.0932797999999977, -80.5636193699999978 41.0932797999999977, -80.5524184899999938 41.0932797999999977, -80.5359466099999963 41.0932797999999977, -80.5280395999999996 41.0932797999999977, -80.5280395999999996 41.0748170199999976, -80.5280395999999996 41.0622887099999971, -80.5280395999999996 41.0458040800000035, -80.5280395999999996 41.0352539200000024, -80.5280395999999996 41.0273413000000033, -80.5418764900000070 41.0273413000000033, -80.5557128699999936 41.0273413000000033, -80.5655959999999993 41.0273413000000033, -80.5820678799999968 41.0273413000000033, -80.5932687600000008 41.0273413000000033, -80.6163298999999967 41.0273413000000033))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 7292 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0094783-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hf7362
title: Occurrence Download

description: A dataset containing 109 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Skenea ossiansarsi Warén, 1991"
 ]
}

 The dataset includes 109 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0099201-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6uq4a3
title: Occurrence Download

description: A dataset containing 4603 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phyllophora crispa (Hudson) P.S.Dixon"
 ]
}

 The dataset includes 4603 records from 107 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0111337-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0153548.10fu
title: SH0153548.10FU

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/sh0153549.10fu
title: SH0153549.10FU

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/sh0153550.10fu
title: SH0153550.10FU

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/sh0153551.10fu
title: SH0153551.10FU

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/sh0153552.10fu
title: SH0153552.10FU

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/sh0153553.10fu
title: SH0153553.10FU

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/sh0153554.10fu
title: SH0153554.10FU

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/sh0153555.10fu
title: SH0153555.10FU

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/sh0153556.10fu
title: SH0153556.10FU

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.cc1mcypm
title: CCDC 1501041: Experimental Crystal Structure Determination

description: Related Article: Tomoyuki Kosai, Shintaro Ishida, Takeaki Iwamoto|2016|Angew.Chem.,Int.Ed.|55|15554|doi:10.1002/anie.201608736
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.cc1md9my
title: CCDC 1501380: Experimental Crystal Structure Determination

description: Related Article: Christian Marquardt, Tobias Kahoun, Andreas Stauber, Gábor Balázs, Michael Bodensteiner, Alexey Y. Timoshkin and Manfred Scheer|2016|Angew.Chem.,Int.Ed.|55|14828|doi:10.1002/anie.201608875
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.cc1md9nz
title: CCDC 1501381: Experimental Crystal Structure Determination

description: Related Article: Christian Marquardt, Tobias Kahoun, Andreas Stauber, Gábor Balázs, Michael Bodensteiner, Alexey Y. Timoshkin and Manfred Scheer|2016|Angew.Chem.,Int.Ed.|55|14828|doi:10.1002/anie.201608875
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.cc1md9p0
title: CCDC 1501382: Experimental Crystal Structure Determination

description: Related Article: Christian Marquardt, Tobias Kahoun, Andreas Stauber, Gábor Balázs, Michael Bodensteiner, Alexey Y. Timoshkin and Manfred Scheer|2016|Angew.Chem.,Int.Ed.|55|14828|doi:10.1002/anie.201608875
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.cc1md9q1
title: CCDC 1501383: Experimental Crystal Structure Determination

description: Related Article: Christian Marquardt, Tobias Kahoun, Andreas Stauber, Gábor Balázs, Michael Bodensteiner, Alexey Y. Timoshkin and Manfred Scheer|2016|Angew.Chem.,Int.Ed.|55|14828|doi:10.1002/anie.201608875
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.cc1md9r2
title: CCDC 1501384: Experimental Crystal Structure Determination

description: Related Article: Christian Marquardt, Tobias Kahoun, Andreas Stauber, Gábor Balázs, Michael Bodensteiner, Alexey Y. Timoshkin and Manfred Scheer|2016|Angew.Chem.,Int.Ed.|55|14828|doi:10.1002/anie.201608875
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.cc1mf079
title: CCDC 1502050: Experimental Crystal Structure Determination

description: Related Article: Ana Pascual-Escudero, Abel de Cózar, Fernando P. Cossío, Javier Adrio, Juan C. Carretero|2016|Angew.Chem.,Int.Ed.|55|15334|doi:10.1002/anie.201609187
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.cc1mf0bd
title: CCDC 1502053: Experimental Crystal Structure Determination

description: Related Article: Ana Pascual-Escudero, Abel de Cózar, Fernando P. Cossío, Javier Adrio, Juan C. Carretero|2016|Angew.Chem.,Int.Ed.|55|15334|doi:10.1002/anie.201609187
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.cc1mfv30
title: CCDC 1502852: Experimental Crystal Structure Determination

description: Related Article: Sergey A. Sapchenko, Pavel A. Demakov, Denis G. Samsonenko, Danil N. Dybtsev, Martin Schröder and Vladimir P. Fedin|2017|Chem.-Eur.J.|23|2286|doi:10.1002/chem.201605895
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.cc1mfv41
title: CCDC 1502853: Experimental Crystal Structure Determination

description: Related Article: Sergey A. Sapchenko, Pavel A. Demakov, Denis G. Samsonenko, Danil N. Dybtsev, Martin Schröder and Vladimir P. Fedin|2017|Chem.-Eur.J.|23|2286|doi:10.1002/chem.201605895
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.cc1mfv52
title: CCDC 1502854: Experimental Crystal Structure Determination

description: Related Article: Sergey A. Sapchenko, Pavel A. Demakov, Denis G. Samsonenko, Danil N. Dybtsev, Martin Schröder and Vladimir P. Fedin|2017|Chem.-Eur.J.|23|2286|doi:10.1002/chem.201605895
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.