cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0206610.10fu
title: SH0206610.10FU

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/sh0206611.10fu
title: SH0206611.10FU

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/sh0206612.10fu
title: SH0206612.10FU

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/sh0206613.10fu
title: SH0206613.10FU

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/sh0206614.10fu
title: SH0206614.10FU

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/sh0206615.10fu
title: SH0206615.10FU

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/sh0206616.10fu
title: SH0206616.10FU

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/sh0206617.10fu
title: SH0206617.10FU

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/sh0206618.10fu
title: SH0206618.10FU

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/sh0206619.10fu
title: SH0206619.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.5517/ccx4jq8
title: CCDC 838510: Experimental Crystal Structure Determination

description: Related Article: E.Govindan, K.SakthiMurugesan, J.Srinivasan, M.Bakthadoss, A.SubbiahPandi|2011|Acta Crystallogr.,Sect.E:Struct.Rep.Online|67|o2753|doi:10.1107/S1600536811038359
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/ccxk7wk
title: CCDC 850729: Experimental Crystal Structure Determination

description: Related Article: Yan-Bing Shen, Min Wang, Qi-Kun Liang, Jian-Mei Luo|2011|Acta Crystallogr.,Sect.E:Struct.Rep.Online|67|o2752|doi:10.1107/S1600536811038608
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.4whxca
title: Occurrence Download

description: A dataset containing 1597 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Canis mesomelas"
 ]
}

 The dataset includes 1597 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046820-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccx4jr9
title: CCDC 838511: Experimental Crystal Structure Determination

description: Related Article: K.SakthiMurugesan, E.Govindan, J.Srinivasan, M.Bakthadoss, A.SubbiahPandi|2011|Acta Crystallogr.,Sect.E:Struct.Rep.Online|67|o2754|doi:10.1107/S1600536811038372
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/ccxk7xl
title: CCDC 850730: Experimental Crystal Structure Determination

description: Related Article: Min Liu, Xiu-Rong Hu, Jian-Ming Gu, Gu-Ping Tang|2011|Acta Crystallogr.,Sect.E:Struct.Rep.Online|67|o2772|doi:10.1107/S1600536811037093
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/ccxk7ym
title: CCDC 850731: Experimental Crystal Structure Determination

description: Related Article: M.Pourayoubi, M.Keikha, M.Parvez|2011|Acta Crystallogr.,Sect.E:Struct.Rep.Online|67|o2792|doi:10.1107/S1600536811039511
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: 10.13140/rg.2.2.16509.74725
title: De Interpretatione - Audio of the lesson held on 20th November 2009 - Sitzung 20.11.2009 - University of Vienna
DOI: 10.13140/rg.2.2.18921.47202
title: Chapter 5 IPBES IAS Assessment Supplementary material 5.9 Examples of effective surveillance strategies
DOI: 10.5517/ccxk7zn
title: CCDC 850732: Experimental Crystal Structure Determination

description: Related Article: G.Smith, U.D.Wermuth|2011|Acta Crystallogr.,Sect.E:Struct.Rep.Online|67|o2794|doi:10.1107/S1600536811039547
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/ccxk81r
title: CCDC 850734: Experimental Crystal Structure Determination

description: Related Article: H.-K.Fun, S.I.J.Asik, M.Himaja, D.Munirajasekhar, B.K.Sarojini|2011|Acta Crystallogr.,Sect.E:Struct.Rep.Online|67|o2810|doi:10.1107/S1600536811039456
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/ccx4kyj
title: CCDC 838548: Experimental Crystal Structure Determination

description: Related Article: Yun-Shan Sun, Kai Ding, Wei-Sheng Tian|2011|Chem.Commun.|47|10437|doi:10.1039/c1cc13650j
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/ccx4kzk
title: CCDC 838549: Experimental Crystal Structure Determination

description: Related Article: Yun-Shan Sun, Kai Ding, Wei-Sheng Tian|2011|Chem.Commun.|47|10437|doi:10.1039/c1cc13650j
description: Related Article: Kai Ding, Yun-shan Sun, Wei-Sheng Tian|2011|J.Org.Chem.|76|1495|doi:10.1021/jo102351k
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/ccw1fs3
title: CCDC 805745: Experimental Crystal Structure Determination

description: Related Article: Seiji Shirakawa, Lijia Wang, Rongjun He, Satoru Arimitsu, Keiji Maruoka|2014|Chem.Asian J.|9|1586|doi:10.1002/asia.201402194
description: Related Article: S.Shirakawa, S.J.Terao, Rongjun He, K.Maruoka|2011|Chem.Commun.|47|10557|doi:10.1039/c1cc14043d
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/ccw1ft4
title: CCDC 805746: Experimental Crystal Structure Determination

description: Related Article: S.Shirakawa, S.J.Terao, Rongjun He, K.Maruoka|2011|Chem.Commun.|47|10557|doi:10.1039/c1cc14043d
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/ccwsg69
title: CCDC 827861: Experimental Crystal Structure Determination

description: Related Article: B.K.Sarma, M.Yousufuddin, T.Kodadek|2011|Chem.Commun.|47|10590|doi:10.1039/c1cc12750k
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/ccwyz70
title: CCDC 833163: Experimental Crystal Structure Determination

description: Related Article: M.Wolffs, M.J.Kade, C.J.Hawker|2011|Chem.Commun.|47|10572|doi:10.1039/c1cc14055h
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: 10.5281/zenodo.17395591
title: Mouse Kidney Atlas (MKA) & MKA-Extended: Single-cell and single-nucleus reference atlases of the mouse kidney

description: This deposit contains two linked datasets of the mouse kidney:

1. MKA (Mouse Kidney Atlas)

A comprehensive reference atlas of the healthy adult mouse kidney, generated by integrating approximately 140,000 cells and nuclei from 59 publicly available single-cell and single-nucleus RNA-sequencing datasets across eight independent studies.The MKA harmonizes annotations through a hierarchical cell-type model, enabling robust cross-study comparisons and accurate labeling of novel or rare cell populations.





Original publication: Novella-Rausell et al., iScience (2023). “A comprehensive mouse kidney atlas enables rare cell population characterization and robust marker discovery.”  DOI: 10.1016/j.isci.2023.106877




Format: AnnData object (~141,401 observations × 3,000 genes)



2. MKA-Extended

An expanded version of the MKA. This extended atlas incorporates immune, injury-induced, and polycystic kidney disease–specific cellular populations, providing a unified reference for Tangram-based deconvolution of spatial transcriptomics datasets.



Original publication: Yasinoglu et al., JASN, (2025). “Spatial Transcriptomics Reveals Injured Cells, Signature Genes, and Communication Patterns in the Cyst Microenvironment of Polycystic Kidney Disease.”  DOI: 10.1681/ASN.0000000894



Format: AnnData object (~303,791 observations × 12,156 genes)
DOI: 10.5517/ccx0q3q
title: CCDC 834833: Experimental Crystal Structure Determination

description: Related Article: T.J.Donohoe, J.F.Bower, D.B.Baker, J.A.Basutto, L.K.M.Chan, P.Gallagher|2011|Chem.Commun.|47|10611|doi:10.1039/c1cc14257g
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: 10.5281/zenodo.10159135
title: Mouse Kidney Atlas (MKA) & MKA-Extended: Single-cell and single-nucleus reference atlases of the mouse kidney

description: This deposit contains two linked datasets of the mouse kidney:

1. MKA (Mouse Kidney Atlas)

A comprehensive reference atlas of the healthy adult mouse kidney, generated by integrating approximately 140,000 cells and nuclei from 59 publicly available single-cell and single-nucleus RNA-sequencing datasets across eight independent studies.The MKA harmonizes annotations through a hierarchical cell-type model, enabling robust cross-study comparisons and accurate labeling of novel or rare cell populations.





Original publication: Novella-Rausell et al., iScience (2023). “A comprehensive mouse kidney atlas enables rare cell population characterization and robust marker discovery.”  DOI: 10.1016/j.isci.2023.106877




Format: AnnData object (~141,401 observations × 3,000 genes)



2. MKA-Extended

An expanded version of the MKA. This extended atlas incorporates immune, injury-induced, and polycystic kidney disease–specific cellular populations, providing a unified reference for Tangram-based deconvolution of spatial transcriptomics datasets.



Original publication: Yasinoglu et al., JASN, (2025). “Spatial Transcriptomics Reveals Injured Cells, Signature Genes, and Communication Patterns in the Cyst Microenvironment of Polycystic Kidney Disease.”  DOI: 10.1681/ASN.0000000894



Format: AnnData object (~303,791 observations × 12,156 genes)