cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0178319.10fu
title: SH0178319.10FU

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/sh0178320.10fu
title: SH0178320.10FU

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/sh0178321.10fu
title: SH0178321.10FU

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/sh0178322.10fu
title: SH0178322.10FU

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/sh0178323.10fu
title: SH0178323.10FU

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/sh0178324.10fu
title: SH0178324.10FU

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/sh0178325.10fu
title: SH0178325.10FU

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/sh0178326.10fu
title: SH0178326.10FU

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/sh0178327.10fu
title: SH0178327.10FU

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: 10.5281/zenodo.14801954
title: Dataset to "Experimental and theoretical structure analysis of the tripeptides Val-Xxx-Val"

description: This data set is part of the bachelor thesis "Experimental and theoretical structure analysis of the tripeptides Val-Xxx-Val" (2025) written by Jan Peter Steinstraßen in the research group of Prof. Florian Kleemiß at the Institute of Inorganic Chemistry of the RWTH Aachen.
DOI: 10.5281/zenodo.14801955
title: Dataset to "Experimental and theoretical structure analysis of the tripeptides Val-Xxx-Val"

description: This data set is part of the bachelor thesis "Experimental and theoretical structure analysis of the tripeptides Val-Xxx-Val" (2025) written by Jan Peter Steinstraßen in the research group of Prof. Florian Kleemiß at the Institute of Inorganic Chemistry of the RWTH Aachen.
DOI: 10.15468/dl.j2hubf
title: Occurrence Download

description: A dataset containing 108 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC-BY 4.0, CC-BY-NC 4.0)",
 "OccurrenceStatus is Present",
 "TaxonKey is Zelkova carpinifolia (Pall.) K.Koch"
 ]
}

 The dataset includes 108 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011435-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u69jrk
title: Occurrence Download

description: A dataset containing 3906 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "TaxonKey is Colaptes atricollis (Malherbe, 1850)"
 ]
}

 The dataset includes 3906 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011436-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tcjzxr
title: Occurrence Download

description: A dataset containing 3863781 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OrderKey is Odonata",
 "Country is one of (Norway, Guernsey, Poland, Denmark, Kosovo, Latvia, France, Slovakia, Romania, Bulgaria, Croatia, Iceland, Ireland, Malta, Åland Islands, North Macedonia, Andorra, Montenegro, Germany, Belarus, Czechia, United Kingdom of Great Britain and Northern Ireland, Switzerland, Belgium, Gibraltar, Portugal, Monaco, Ukraine, Finland, Bosnia and Herzegovina, Hungary, Estonia, Greece, Serbia, Netherlands, Moldova, Republic of, Cyprus, Isle of Man, Lithuania, Slovenia, Albania, Sweden, Liechtenstein, Austria, Italy, Luxembourg, Spain, Jersey)",
 "HasCoordinate is TRUE",
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 "BasisOfRecord is one of (Living Specimen, Observation, Human Observation, Machine Observation, Occurrence evidence)"
 ]
}

 The dataset includes 3863781 records from 1384 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011355-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pnt2hp
title: Occurrence Download

description: A dataset containing 12882 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC-BY 4.0, CC-BY-NC 4.0)",
 "OccurrenceStatus is Present",
 "TaxonKey is Ziziphus jujuba Mill."
 ]
}

 The dataset includes 12882 records from 175 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011438-250127130748423/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.ccq8cy8
title: CCDC 663460: Experimental Crystal Structure Determination

description: Related Article: Li Xiang,Haibin Song,Guofu Zi|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.ccs2vj6
title: CCDC 717728: Experimental Crystal Structure Determination

description: Related Article: R.Angamuthu,P.Byers,M.Lutz,A.L.Spek,E.Bouwman|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.cctbgcy
title: CCDC 754830: Experimental Crystal Structure Determination

description: Related Article: R.Angamuthu,W.Roorda,M.Lutz,A.L.Spek,E.Bouwman|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.cctbgdz
title: CCDC 754831: Experimental Crystal Structure Determination

description: Related Article: R.Angamuthu,W.Roorda,M.Lutz,A.L.Spek,E.Bouwman|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.cctctjh
title: CCDC 756137: Experimental Crystal Structure Determination

description: Related Article: M.Welker,S.Woodward,L.F.Veiros,M.J.Calhorda|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.cctctkj
title: CCDC 756138: Experimental Crystal Structure Determination

description: Related Article: M.Welker,S.Woodward,L.F.Veiros,M.J.Calhorda|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.cctcthg
title: CCDC 756136: Experimental Crystal Structure Determination

description: Related Article: M.Welker,S.Woodward,L.F.Veiros,M.J.Calhorda|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.ccvr9gb
title: CCDC 796962: Experimental Crystal Structure Determination

description: Related Article: V.Bocokic,M.Lutz,A.K.Burat,J.P.Lewtak,D.T.Gryko,A.Spek,J.N.H.Reek|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.ccws6zt
title: CCDC 827637: Experimental Crystal Structure Determination

description: Related Article: T.Matsumoto,M.Wakizaka,H.Yano,Ho-Chol Chang,A.Kobayashi,K.Uosaki,M.Kato|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.ccxlz4l
title: CCDC 852380: Experimental Crystal Structure Determination

description: Related Article: M.A. Rankin, C.C. Cummins|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.ccxlz2j
title: CCDC 852378: Experimental Crystal Structure Determination

description: Related Article: M.A. Rankin, C.C. Cummins|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.ccxlz3k
title: CCDC 852379: Experimental Crystal Structure Determination

description: Related Article: M.A. Rankin, C.C. Cummins|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.cc119g60
title: CCDC 962401: Experimental Crystal Structure Determination

description: Related Article: E. Carolina Sañudo, Marisol Ledezma-Gairaud, Guillem Aromi, Leslie Pineda|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.cc119g93
title: CCDC 962404: Experimental Crystal Structure Determination

description: Related Article: E. Carolina Sañudo, Marisol Ledezma-Gairaud, Guillem Aromi, Leslie Pineda|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.cc227b5v
title: CCDC 1913666: Experimental Crystal Structure Determination

description: Related Article: Nicolas Pétry, Thibaut Vanderbeeken, Astrid Malher, Yoan Bringer, Pascal Retailleau, Xavier Bantreil and Frédéric Lamaty|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: 10.15468/dl.jtwjjv
title: Occurrence Download

description: A dataset containing 5987 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Salpichroa origanifolia (Lam.) Baill., Salpichroa rhomboidea var. divaricata Miers, Salpichroa parviflora Dunal, Jaborosa montevidensis Casar., Planchonia arbutifolia Dunal, Salpichroa rhomboideum var. molle U.Dammer, Salpichroma rhomboideum var. mollis Dammer, Salpichroa rhomboidea var. mollis Dammer, Salpichroa rhomboidea var. pubescens Miers, Physalis curassavica Willd., Atropa rhomboidea Gillies & Hook., Physalis origanifolia Lam., Busbequia radicans Mart., 1829, Busbeckia radicans Mart., Perizoma rhomboidea (Gillies & Hook.) Small, Salpichroma rhomboideum (Gillies & Hook.) Miers, Salpichroa rhomboidea (Gillies & Hook.) Miers, Atropa origanifolia (Lam.) Desf., Salpichroa origanifolia (Lam.) Thell., Withania origanifolia (Lam.) Paillieux & Bois)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 5987 records from 194 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011439-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.