cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1058923.10fu
title: SH1058923.10FU

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/sh1058926.10fu
title: SH1058926.10FU

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/sh1058927.10fu
title: SH1058927.10FU

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/sh1058929.10fu
title: SH1058929.10FU

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/sh1058932.10fu
title: SH1058932.10FU

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/sh1058934.10fu
title: SH1058934.10FU

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/sh1058935.10fu
title: SH1058935.10FU

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/sh1058937.10fu
title: SH1058937.10FU

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/sh1058939.10fu
title: SH1058939.10FU

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.15747527
title: Augmented Musical Sentiment (MuSE) dataset with lyrics and LLM-based VAD scores
DOI: 10.15468/dl.58nnp6
title: Occurrence Download

description: A dataset containing 775 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Cyanomitra oritis (Reichenow, 1892)",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 775 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070091-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17418161
title: Global Built-up Land per Capita (BPC) and Socioeconomic Drivers: Historical Data (1985–2020) and Scenario-based Projections under SSPs (2010–2100)

description: This dataset accompanies the study “Diverging trajectories of built-up land dynamics for country groups by income until 2100”, which examines the socioeconomic determinants and future trajectories of built-up land per capita (BPC) across the globe under five Shared Socioeconomic Pathway (SSP) scenarios. The dataset provides both the historical panel data used for regression analysis of 129 countries (1985–2020) and the projection data (2010–2100) used toproject BPC and total built-up land area for 157 countries. It enables researchers to reproduce the analysis, explore alternative model specifications, or integrate the projections into spatially explicit land-use models.

1. All socioeconomic and demographic variables are obtained from publicly available databases consistent with the Shared Socioeconomic Pathways (SSP) framework

2. All country names follow ISO3 codes for consistency.

3. The 2010 BPC values are calibrated to observed data and are identical across all SSPs. Scenario divergence begins after 2010.
DOI: 10.5517/cc1jwrw1
title: CCDC 1426864: Experimental Crystal Structure Determination

description: Related Article: Bonnie Choi,  Daniel W. Paley,  Theo Siegrist,  Michael L. Steigerwald,  and Xavier Roy|2015|Inorg.Chem.|54|8348|doi:10.1021/acs.inorgchem.5b01020
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/cc1jwrx2
title: CCDC 1426865: Experimental Crystal Structure Determination

description: Related Article: Bonnie Choi,  Daniel W. Paley,  Theo Siegrist,  Michael L. Steigerwald,  and Xavier Roy|2015|Inorg.Chem.|54|8348|doi:10.1021/acs.inorgchem.5b01020
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/cc1jwry3
title: CCDC 1426866: Experimental Crystal Structure Determination

description: Related Article: Bonnie Choi,  Daniel W. Paley,  Theo Siegrist,  Michael L. Steigerwald,  and Xavier Roy|2015|Inorg.Chem.|54|8348|doi:10.1021/acs.inorgchem.5b01020
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/cc1jwrz4
title: CCDC 1426867: Experimental Crystal Structure Determination

description: Related Article: Bonnie Choi,  Daniel W. Paley,  Theo Siegrist,  Michael L. Steigerwald,  and Xavier Roy|2015|Inorg.Chem.|54|8348|doi:10.1021/acs.inorgchem.5b01020
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/cc1jws06
title: CCDC 1426868: Experimental Crystal Structure Determination

description: Related Article: Bonnie Choi,  Daniel W. Paley,  Theo Siegrist,  Michael L. Steigerwald,  and Xavier Roy|2015|Inorg.Chem.|54|8348|doi:10.1021/acs.inorgchem.5b01020
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/cc1jws17
title: CCDC 1426869: Experimental Crystal Structure Determination

description: Related Article: Bonnie Choi,  Daniel W. Paley,  Theo Siegrist,  Michael L. Steigerwald,  and Xavier Roy|2015|Inorg.Chem.|54|8348|doi:10.1021/acs.inorgchem.5b01020
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.cc1jf414
title: CCDC 1412795: Experimental Crystal Structure Determination

description: Related Article: Lara Riehl, Markus Ströbele, David Enseling, Thomas Jüstel and H.-Jürgen Meyer|2016|Z.Anorg.Allg.Chem.|642|403|doi:10.1002/zaac.201600021
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/cc1jws28
title: CCDC 1426870: Experimental Crystal Structure Determination

description: Related Article: Haifeng Wang, Fener Chen|2015|CSD Communication|||
description: Related Article: Haifeng Wang,  Linjie Yan,  Yan Wu,  Yipei Lu,  and Fener Chen|2015|Org.Lett.|17|5452|doi:10.1021/acs.orglett.5b02813
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/cc1jws5c
title: CCDC 1426873: Experimental Crystal Structure Determination

description: Related Article: Dilip Kumar Maity, Biswajit Bhattacharya, Arijit Halder, Debajyoti Ghoshal|2015|Dalton Trans.|44|20999|doi:10.1039/C5DT03738G
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/cc1jws6d
title: CCDC 1426874: Experimental Crystal Structure Determination

description: Related Article: Dilip Kumar Maity, Biswajit Bhattacharya, Arijit Halder, Debajyoti Ghoshal|2015|Dalton Trans.|44|20999|doi:10.1039/C5DT03738G
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/cc1jws8g
title: CCDC 1426876: Experimental Crystal Structure Determination

description: Related Article: John P. Bullock,  Alan M. Bond,  René T. Boeré,  Twyla M. Gietz,  Tracey L. Roemmele,  Sonja D. Seagrave,  Jason D. Masuda,  and Masood Parvez|2013|J.Am.Chem.Soc.|135|11205|doi:10.1021/ja403555d
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/cc1jws9h
title: CCDC 1426877: Experimental Crystal Structure Determination

description: Related Article: John P. Bullock,  Alan M. Bond,  René T. Boeré,  Twyla M. Gietz,  Tracey L. Roemmele,  Sonja D. Seagrave,  Jason D. Masuda,  and Masood Parvez|2013|J.Am.Chem.Soc.|135|11205|doi:10.1021/ja403555d
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/cc1jwsbj
title: CCDC 1426878: Experimental Crystal Structure Determination

description: Related Article: John P. Bullock,  Alan M. Bond,  René T. Boeré,  Twyla M. Gietz,  Tracey L. Roemmele,  Sonja D. Seagrave,  Jason D. Masuda,  and Masood Parvez|2013|J.Am.Chem.Soc.|135|11205|doi:10.1021/ja403555d
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/cc1jwsck
title: CCDC 1426879: Experimental Crystal Structure Determination

description: Related Article: John P. Bullock,  Alan M. Bond,  René T. Boeré,  Twyla M. Gietz,  Tracey L. Roemmele,  Sonja D. Seagrave,  Jason D. Masuda,  and Masood Parvez|2013|J.Am.Chem.Soc.|135|11205|doi:10.1021/ja403555d
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/cc1jwsdl
title: CCDC 1426880: Experimental Crystal Structure Determination

description: Related Article: John P. Bullock,  Alan M. Bond,  René T. Boeré,  Twyla M. Gietz,  Tracey L. Roemmele,  Sonja D. Seagrave,  Jason D. Masuda,  and Masood Parvez|2013|J.Am.Chem.Soc.|135|11205|doi:10.1021/ja403555d
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/cc1jwsfm
title: CCDC 1426881: Experimental Crystal Structure Determination

description: Related Article: John P. Bullock,  Alan M. Bond,  René T. Boeré,  Twyla M. Gietz,  Tracey L. Roemmele,  Sonja D. Seagrave,  Jason D. Masuda,  and Masood Parvez|2013|J.Am.Chem.Soc.|135|11205|doi:10.1021/ja403555d
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/cc1jwsgn
title: CCDC 1426882: Experimental Crystal Structure Determination

description: Related Article: John P. Bullock,  Alan M. Bond,  René T. Boeré,  Twyla M. Gietz,  Tracey L. Roemmele,  Sonja D. Seagrave,  Jason D. Masuda,  and Masood Parvez|2013|J.Am.Chem.Soc.|135|11205|doi:10.1021/ja403555d
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/cc1jwshp
title: CCDC 1426883: Experimental Crystal Structure Determination

description: Related Article: John P. Bullock,  Alan M. Bond,  René T. Boeré,  Twyla M. Gietz,  Tracey L. Roemmele,  Sonja D. Seagrave,  Jason D. Masuda,  and Masood Parvez|2013|J.Am.Chem.Soc.|135|11205|doi:10.1021/ja403555d
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.