cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/bn9-gfw-57q
title: Amaranthus cruentus L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/f74-mzk-xpf
title: Salicornia perennans Willd.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/jxm-neb-2j1
title: Amaranthus tricolor L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/kzj-j6w-yae
title: Polycnemum arvense L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15156/bio/sh1396368.10fu
title: SH1396368.10FU

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: 10.6084/m9.figshare.30133867
title: Construction of long-term (2003–2024) dissolved inorganic nitrogen dataset in the Chinese coastal ocean using interpretable machine learning

description: l Developed a 1-km resolution monthly DIN dataset (2003–2024) for Chinese coastal ocean using interpretable ML.<br>
DOI: 10.6084/m9.figshare.30133867.v1
title: Construction of long-term (2003–2024) dissolved inorganic nitrogen dataset in the Chinese coastal ocean using interpretable machine learning

description: l Developed a 1-km resolution monthly DIN dataset (2003–2024) for Chinese coastal ocean using interpretable ML.<br>
DOI: 10.15156/bio/sh1396370.10fu
title: SH1396370.10FU

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/sh1396372.10fu
title: SH1396372.10FU

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/sh1396373.10fu
title: SH1396373.10FU

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/sh1396379.10fu
title: SH1396379.10FU

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/sh1396380.10fu
title: SH1396380.10FU

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/sh1396381.10fu
title: SH1396381.10FU

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/sh1396382.10fu
title: SH1396382.10FU

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: 10.15468/dl.9qvh5v
title: Occurrence Download

description: A dataset containing 98 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Micrandra glabra (R.E.Schult.) R.E.Schult."
 ]
}

 The dataset includes 98 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021837-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pxjx5t
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031544-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w5mtll
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035040-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8drxke
title: Occurrence Download

description: A dataset containing 311819525 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 311819525 records from 5079 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0158607-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/cc6s6cj
title: CCDC 202007: Experimental Crystal Structure Determination

description: Related Article: R.E.Da Re, M.D.Hopkins|2002|Inorg.Chem.|41|6973|doi:10.1021/ic020565r
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/cc6s6kq
title: CCDC 202013: Experimental Crystal Structure Determination

description: Related Article: R.D.Willett, K.R.Maxcy, B.Twamley|2002|Inorg.Chem.|41|7024|doi:10.1021/ic020455k
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/cc6s6lr
title: CCDC 202014: Experimental Crystal Structure Determination

description: Related Article: R.D.Willett, K.R.Maxcy, B.Twamley|2002|Inorg.Chem.|41|7024|doi:10.1021/ic020455k
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/cc6s6ms
title: CCDC 202015: Experimental Crystal Structure Determination

description: Related Article: R.D.Willett, K.R.Maxcy, B.Twamley|2002|Inorg.Chem.|41|7024|doi:10.1021/ic020455k
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/cc6s6rx
title: CCDC 202019: Experimental Crystal Structure Determination

description: Related Article: M.Westerhausen, S.Weinrich, G.Kramer, H.Piotrowski|2002|Inorg.Chem.|41|7072|doi:10.1021/ic0202413
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/cc6s6sy
title: CCDC 202020: Experimental Crystal Structure Determination

description: Related Article: M.Westerhausen, S.Weinrich, G.Kramer, H.Piotrowski|2002|Inorg.Chem.|41|7072|doi:10.1021/ic0202413
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/cc6s6tz
title: CCDC 202021: Experimental Crystal Structure Determination

description: Related Article: J.J.A.Cooney, M.D.Carducci, A.E.McElhaney, H.D.Selby, J.H.Enemark|2002|Inorg.Chem.|41|7086|doi:10.1021/ic025856e
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/cc6s6v0
title: CCDC 202022: Experimental Crystal Structure Determination

description: Related Article: J.J.A.Cooney, M.D.Carducci, A.E.McElhaney, H.D.Selby, J.H.Enemark|2002|Inorg.Chem.|41|7086|doi:10.1021/ic025856e
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/cc6s6x2
title: CCDC 202024: Experimental Crystal Structure Determination

description: Related Article: T.Yutaka, I.Mori, M.Kurihara, J.Mizutani, N.Tamai, T.Kawai, M.Irie, H.Nishihara|2002|Inorg.Chem.|41|7143|doi:10.1021/ic0260116
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/cc65k2z
title: CCDC 184080: Experimental Crystal Structure Determination

description: Related Article: Yue-Peng Cai, Cheng-Yong Su, Chun-Long Chen, Yue-Ming Li, Bei-Sheng Kang, A.S.C.Chan, W.Kaim|2003|Inorg.Chem.|42|163|doi:10.1021/ic025934y
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/cc6s6y3
title: CCDC 202025: Experimental Crystal Structure Determination

description: Related Article: T.Yutaka, I.Mori, M.Kurihara, J.Mizutani, N.Tamai, T.Kawai, M.Irie, H.Nishihara|2002|Inorg.Chem.|41|7143|doi:10.1021/ic0260116
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/cc65k30
title: CCDC 184081: Experimental Crystal Structure Determination

description: Related Article: Yue-Peng Cai, Cheng-Yong Su, Chun-Long Chen, Yue-Ming Li, Bei-Sheng Kang, A.S.C.Chan, W.Kaim|2003|Inorg.Chem.|42|163|doi:10.1021/ic025934y
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/cc6sgkz
title: CCDC 202261: Experimental Crystal Structure Determination

description: Related Article: C.B.Aakeroy, A.M.Beatty, B.A.Helfrich|2002|J.Am.Chem.Soc.|124|14425|doi:10.1021/ja027845q
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/cc6sgl0
title: CCDC 202262: Experimental Crystal Structure Determination

description: Related Article: C.B.Aakeroy, A.M.Beatty, B.A.Helfrich|2002|J.Am.Chem.Soc.|124|14425|doi:10.1021/ja027845q
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/cc6sgm1
title: CCDC 202263: Experimental Crystal Structure Determination

description: Related Article: C.B.Aakeroy, A.M.Beatty, B.A.Helfrich|2002|J.Am.Chem.Soc.|124|14425|doi:10.1021/ja027845q
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/cc6sgn2
title: CCDC 202264: Experimental Crystal Structure Determination

description: Related Article: C.B.Aakeroy, A.M.Beatty, B.A.Helfrich|2002|J.Am.Chem.Soc.|124|14425|doi:10.1021/ja027845q
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/cc6sgp3
title: CCDC 202265: Experimental Crystal Structure Determination

description: Related Article: C.B.Aakeroy, A.M.Beatty, B.A.Helfrich|2002|J.Am.Chem.Soc.|124|14425|doi:10.1021/ja027845q
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/cc6sgq4
title: CCDC 202266: Experimental Crystal Structure Determination

description: Related Article: C.B.Aakeroy, A.M.Beatty, B.A.Helfrich|2002|J.Am.Chem.Soc.|124|14425|doi:10.1021/ja027845q
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/cc6sgr5
title: CCDC 202267: Experimental Crystal Structure Determination

description: Related Article: C.B.Aakeroy, A.M.Beatty, B.A.Helfrich|2002|J.Am.Chem.Soc.|124|14425|doi:10.1021/ja027845q
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.