cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/cc12rb38
title: CCDC 1005519: Experimental Crystal Structure Determination

description: Related Article: Qianqian Guo, Carina Merkens, Runze Si, Ulli Englert|2015|CrystEngComm|17|4383|doi:10.1039/C5CE00043B
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.cc14h920
title: CCDC 1057381: Experimental Crystal Structure Determination

description: Related Article: Yunxia Gao,  Ying Yang,  Wenjun Zheng,  Yuanyuan Su,  Xiang Zhang,  and Herbert W. Roesky|2017|Inorg.Chem.|56|10220|doi:10.1021/acs.inorgchem.7b00918
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/cc14h997
title: CCDC 1057388: Experimental Crystal Structure Determination

description: Related Article: Meng-Yang Chang, Yi-Ju Lu, Yu-Chieh Cheng|2015|Tetrahedron|71|6840|doi:10.1016/j.tet.2015.07.025
description: Related Article: Meng-Yang Chang|2015|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/cc14h9b8
title: CCDC 1057389: Experimental Crystal Structure Determination

description: Related Article: Meng-Yang Chang , Yu-Chieh Cheng , Yi-Ju Lu|2015|Org.Lett.|17|3142|doi:10.1021/acs.orglett.5b01461
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/cc14h9c9
title: CCDC 1057390: Experimental Crystal Structure Determination

description: Related Article: N. F. Kirillov, E. A. Nikiforova, A.N. Vasyanin, M. V. Dmitriev|2015|Zh.Org.Khim.|51|530|doi:10.1134/S1070428015040089
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/cc13zc0g
title: CCDC 1042065: Experimental Crystal Structure Determination

description: Related Article: Qianqian Guo, Carina Merkens, Runze Si, Ulli Englert|2015|CrystEngComm|17|4383|doi:10.1039/C5CE00043B
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/cc13zc1h
title: CCDC 1042066: Experimental Crystal Structure Determination

description: Related Article: Qianqian Guo, Carina Merkens, Runze Si, Ulli Englert|2015|CrystEngComm|17|4383|doi:10.1039/C5CE00043B
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/cc12rb49
title: CCDC 1005520: Experimental Crystal Structure Determination

description: Related Article: Qianqian Guo, Carina Merkens, Runze Si, Ulli Englert|2015|CrystEngComm|17|4383|doi:10.1039/C5CE00043B
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/cc14h9kh
title: CCDC 1057396: Experimental Crystal Structure Determination

description: Related Article: Sivasankaran Dhanasekaran , Anirban Kayet , Arun Suneja , Vishnumaya Bisai , Vinod K. Singh|2015|Org.Lett.|17|2780|doi:10.1021/acs.orglett.5b01197
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/cc12rb5b
title: CCDC 1005521: Experimental Crystal Structure Determination

description: Related Article: Qianqian Guo, Carina Merkens, Runze Si, Ulli Englert|2015|CrystEngComm|17|4383|doi:10.1039/C5CE00043B
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/cc13zc2j
title: CCDC 1042067: Experimental Crystal Structure Determination

description: Related Article: Qianqian Guo, Carina Merkens, Runze Si, Ulli Englert|2015|CrystEngComm|17|4383|doi:10.1039/C5CE00043B
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/cc12rb6c
title: CCDC 1005522: Experimental Crystal Structure Determination

description: Related Article: Qianqian Guo, Carina Merkens, Runze Si, Ulli Englert|2015|CrystEngComm|17|4383|doi:10.1039/C5CE00043B
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.zudcvd
title: Occurrence Download

description: A dataset containing 361000 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Blitum atriplicinum, Darwinia apiculata, Darwinia fascicularis, Darwinia glaucophylla, Darwinia peduncularis, Albuca paradoxa, Albuca shawii, Albuca weberlingiorum, Curculigo ensifolia, Hesperantha bachmannii, Melianthus major, Lepidobolus spiralis, Billardiera fusiformis, Hesperantha longicollis, Clypeola eriocarpa, Denhamia pittosporoides, Rhynchosia chrysoscias, Darwinia divisa, Ribes neglectum, Ribes uva-crispa, Azorella madreporica, Othonna umbelliformis, Tripleurospermum insularum, Gentianella canosoi, Cussonia spicata, Stapelia pillansii, Rhynchosia pegleri, Lycium stenophyllum, Rhizophora mangle, Calycadenia truncata, Othonna cremnophila, Eriocephalus purpureus, Eriocephalus eximius, Darwinia pimelioides, Opercularia hispida, Cyrtanthus guthrieae, Cyrtanthus mckenii, Hesperantha baurii, Hesperantha modesta, Hesperantha pallescens, Hesperantha rivulicola, Tetracoccus hallii, Ammochloa involucrata, Hesperantha eremophila, Leptocarpus thysananthus, Rhynchosia capensis, Paranomus candicans, Scorzonera serpentinica, Scorzonera tuzgoluensis, Othonna othonnites, Othonna parviflora, Lycium berlandieri, Elegia stokoei, Eriocephalus glandulosus, Polygonatum glaberrimum, Albuca navicula, Albuca setosa, Albuca xanthocodon, Albuca zebrina, Hesperantha cedarmontana, Owenia cepiodora, Ribes multiflorum, Rhynchosia villosa, Stenopetalum pedicellare, Monnina wrightii, Paranomus longicaulis, Darwinia hortiorum, Othonna trinervia, Lycium ferocissimum, Elegia neesii, Calycadenia multiglandulosa, Othonna humilis, Othonna intermedia, Glossostigma cleistanthum, Lycium hantamense, Darwinia acerosa, Darwinia wittwerorum, Polygonatum hybridum, Cyrtanthus flammosus, Cyrtanthus helictus, Cyrtanthus inaequalis, Hesperantha elsiae, Hesperantha luticola, Hesperantha schelpeana, Clypeola jonthlaspi, Arnica sororia, Opercularia nubicola, Calycadenia mollis, Scorzonera parviflora, Cannomois congesta, Arrhenatherum palaestinum, Calystegia subacaulis, Johrenia selinoides, Rhynchosia australis, Rhynchosia adenodes, Monnina xalapensis, Othonna pumilio, Othonna zeyheri, Othonna lilacina, Arnica ovata)",
 "Year is greater than or equal to 1950"
 ]
}

 The dataset includes 361000 records from 1305 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051680-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bvap6c
title: Occurrence Download

description: A dataset containing 62 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Scleria pusilla Pilg."
 ]
}

 The dataset includes 62 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000303-250226161807615/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ufeckp
title: Occurrence Download

description: A dataset containing 1079 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-124.52786 18.89340,-71.47214 18.89340,-71.47214 40.10660,-124.52786 40.10660,-124.52786 18.89340))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lepus alleni Mearns, 1890"
 ]
}

 The dataset includes 1079 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000304-250226161807615/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7m4m37
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Echium handiense Svent.)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2020"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000305-250226161807615/datasets/export for details.
DOI: 10.15468/dl.febnuf
title: Occurrence Download

description: A dataset containing 259 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cattleya guttata Lindl."
 ]
}

 The dataset includes 259 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000308-250226161807615/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b4wjjv
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eomysticetidae"
 ]
}

 The dataset includes 22 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000306-250226161807615/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fb79tg
title: Occurrence Download

description: A dataset containing 248293 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Papaver rhoeas L.",
 "Year 2000-2025"
 ]
}

 The dataset includes 248293 records from 2182 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000290-250226161807615/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0032371.10fu
title: SH0032371.10FU

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/sh0032372.10fu
title: SH0032372.10FU

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/sh0032373.10fu
title: SH0032373.10FU

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/sh0032374.10fu
title: SH0032374.10FU

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/sh0032375.10fu
title: SH0032375.10FU

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/sh0032376.10fu
title: SH0032376.10FU

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/sh0032377.10fu
title: SH0032377.10FU

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/sh0032378.10fu
title: SH0032378.10FU

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/sh0032379.10fu
title: SH0032379.10FU

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.