cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/cc12w88h
title: CCDC 1009306: Experimental Crystal Structure Determination

description: Related Article: Constantin Mamat, Martin Köckerling|2015|Synthesis|47|387|doi:10.1055/s-0034-1379487
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/cc12w8dm
title: CCDC 1009310: Experimental Crystal Structure Determination

description: Related Article: Bo Wang, Nan Liu, Wenwen Chen, Dayun Huang, Xinyan Wang, Yuefei Hu|2015|Adv.Synth.Catal.|357|401|doi:10.1002/adsc.201400471
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/cc12w8fn
title: CCDC 1009311: Experimental Crystal Structure Determination

description: Related Article: Carlo Ballatore, Bryant Gay, Longchuan Huang, Katie Herbst Robinson, Michael J. James, John Q. Trojanowski, Virginia M.-Y. Lee, Kurt R. Brunden, Amos B. Smith III|2014|Bioorg.Med.Chem.Lett.|24|4171|doi:10.1016/j.bmcl.2014.07.047
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/cc12w8gp
title: CCDC 1009312: Experimental Crystal Structure Determination

description: Related Article: E.C. Escudero-Adán, J. Benet-Buchholz, P. Ballester|2014|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|70|660|doi:10.1107/S2052520614014498
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/cc12w8ks
title: CCDC 1009315: Experimental Crystal Structure Determination

description: Related Article: Alexander J. Blake, Rocío Donamaría, Vito Lippolis, José M. López-de-Luzuriaga, Elena Manso, Miguel Monge, M.Elena Olmos|2014|Inorg.Chem.|53|10471|doi:10.1021/ic501515c
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/cc12w8lt
title: CCDC 1009316: Experimental Crystal Structure Determination

description: Related Article: Alexander J. Blake, Rocío Donamaría, Vito Lippolis, José M. López-de-Luzuriaga, Elena Manso, Miguel Monge, M.Elena Olmos|2014|Inorg.Chem.|53|10471|doi:10.1021/ic501515c
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/cc12w8mv
title: CCDC 1009317: Experimental Crystal Structure Determination

description: Related Article: Alexander J. Blake, Rocío Donamaría, Vito Lippolis, José M. López-de-Luzuriaga, Elena Manso, Miguel Monge, M.Elena Olmos|2014|Inorg.Chem.|53|10471|doi:10.1021/ic501515c
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/cc12w8nw
title: CCDC 1009318: Experimental Crystal Structure Determination

description: Related Article: Alexander J. Blake, Rocío Donamaría, Vito Lippolis, José M. López-de-Luzuriaga, Elena Manso, Miguel Monge, M.Elena Olmos|2014|Inorg.Chem.|53|10471|doi:10.1021/ic501515c
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/cc12w8x4
title: CCDC 1009326: Experimental Crystal Structure Determination

description: Related Article: Tukki Sarkar, Samya Banerjee, Akhtar Hussain|2015|RSC Advances|5|29276|doi:10.1039/C5RA04207K
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/cc12w8z6
title: CCDC 1009328: Experimental Crystal Structure Determination

description: Related Article: Tukki Sarkar, Samya Banerjee, Akhtar Hussain|2015|RSC Advances|5|29276|doi:10.1039/C5RA04207K
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/cc10wln4
title: CCDC 950046: Experimental Crystal Structure Determination

description: Related Article: Kimberly M. Lincoln, Michael E. Offutt, Travis D. Hayden, Ryker E. Saunders, and Kayla N. Green|2014|Inorg.Chem.|53|1406|doi:10.1021/ic402119s
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/cc10wlp5
title: CCDC 950047: Experimental Crystal Structure Determination

description: Related Article: Kimberly M. Lincoln, Michael E. Offutt, Travis D. Hayden, Ryker E. Saunders, and Kayla N. Green|2014|Inorg.Chem.|53|1406|doi:10.1021/ic402119s
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/cc10wll2
title: CCDC 950044: Experimental Crystal Structure Determination

description: Related Article: Kimberly M. Lincoln, Michael E. Offutt, Travis D. Hayden, Ryker E. Saunders, and Kayla N. Green|2014|Inorg.Chem.|53|1406|doi:10.1021/ic402119s
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/cczm04q
title: CCDC 911993: Experimental Crystal Structure Determination

description: Related Article: Kimberly M. Lincoln, Michael E. Offutt, Travis D. Hayden, Ryker E. Saunders, and Kayla N. Green|2014|Inorg.Chem.|53|1406|doi:10.1021/ic402119s
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/cc10wlm3
title: CCDC 950045: Experimental Crystal Structure Determination

description: Related Article: Kimberly M. Lincoln, Michael E. Offutt, Travis D. Hayden, Ryker E. Saunders, and Kayla N. Green|2014|Inorg.Chem.|53|1406|doi:10.1021/ic402119s
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.cc12w92b
title: CCDC 1009331: Experimental Crystal Structure Determination

description: Related Article: C. Guy Goodman and Jeffrey S. Johnson|2014|J.Am.Chem.Soc.|136|14698|doi:10.1021/ja508521a
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.k8xat2
title: Occurrence Download

description: A dataset containing 9895089 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 (Rubus divaricatus, Rubus horripilus, Rubus oxybelus, Rubus semirivularis, Onobrychis citrina, Sedum urvillei, Hysterobaeckea graniticola, Apiaceae, Sedum lumholtzii, Sedum spathulifolium, Phylica elimensis, Phylica levynsiae, Goodenia pinnatifida, Goodenia quasilibera, Dianthus pancicii, Dianthus plumbeus, Rubus stenopetalus, Dianthus holopetalus, Eryngium pulchellum, Lissanthe sapida, Onobrychis cilicica, Oxalis suteroides, Prangos peucedanifolia, Selaginella wallacei, Geissorhiza hesperanthoides, Goodenia corynocarpa, Goodenia suffrutescens, Dianthus eretmopetalus, Dianthus, Dianthus haematocalyx, Rubus mucronulatus, Rubus pinnatus, Spiraea splendens, Lyrocarpa xantii, Dianthus multiflorus, Bunium verruculosum, Eryngium vaseyi, Goodenia xanthosperma, Eryngium mathiasiae, Paspalum vaginatum, Onobrychis halysensis, Onobrychis albiflora, Oxalis multicaulis, Phylica barbata, Phylica simii, Phylica virgata, Phylica pulchella, Phylica odorata, Phylica pearsonii, Dianthus akdaghensis, Dianthus anatolicus, Dianthus arrostoi, Dianthus atlanticus, Dianthus seguieri, Dianthus serotinus, Dianthus strictus, Rubus atrovirens, Gasteria camillae, Rubus pumilus, Oxalis leucophylla, Sedum pubescens, Berkheya buphthalmoides, Berkheya speciosa, Thaminophyllum latifolium, Acalypha adenostachya, Acalypha comonduana, Epidendrum falcatum, Hysterobaeckea setifera, Sedum battandieri, Sedum laconicum, Phylica imberbis, Geissorhiza barkerae, Goodenia glareicola, Goodenia kakadu, Dianthus micranthus, Dianthus plumarius, Dianthus virgineus, Rubus coriifolius, Rubus villarsianus, Phylica axillaris, Goodenia centralis, Hermas quercifolia, Eryngium hainesii, Eryngium thorifolium, Acalypha membranacea, Acalypha peduncularis, Acalypha sonderi, Epidendrum ciliare, Gasteria rawlinsonii, Asyneuma junceum, Asyneuma pulvinatum, Paspalum clavuliferum, Geissorhiza lapidosa, Onobrychis versurarum, Oxalis pendulifolia, Oxalis orbicularis, Oxalis versicolor, Oxalis dilatata, Oxalis dregei, Oxalis ericoides)",
 "Year is greater than or equal to 1950"
 ]
}

 The dataset includes 9895089 records from 6506 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050749-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0005453.10fu
title: SH0005453.10FU

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/sh0005454.10fu
title: SH0005454.10FU

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/sh0005455.10fu
title: SH0005455.10FU

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/sh0005456.10fu
title: SH0005456.10FU

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/sh0005457.10fu
title: SH0005457.10FU

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/sh0005458.10fu
title: SH0005458.10FU

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/sh0005459.10fu
title: SH0005459.10FU

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/sh0005460.10fu
title: SH0005460.10FU

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/sh0005461.10fu
title: SH0005461.10FU

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/sh0005462.10fu
title: SH0005462.10FU

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.