cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccss24r
title: CCDC 738114: Experimental Crystal Structure Determination

description: Related Article: Wen-Dong Song, Hao Wang, Shi-Wei Hu, Pei-Wen Qin, Shi-Jie Li|2009|Acta Crystallogr.,Sect.E:Struct.Rep.Online|65|m701|doi:10.1107/S1600536809019680
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/ccss25s
title: CCDC 738115: Experimental Crystal Structure Determination

description: Related Article: Wen-Dong Song, Hao Wang, Shi-Jie Li, Pei-Wen Qin, Shi-Wei Hu|2009|Acta Crystallogr.,Sect.E:Struct.Rep.Online|65|m702|doi:10.1107/S1600536809019904
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/ccskthm
title: CCDC 732111: Experimental Crystal Structure Determination

description: Related Article: Qi-Hua Zhao, Ai-Ling Fan, Li-Nan Li, Ming-Jing Xie|2009|Acta Crystallogr.,Sect.E:Struct.Rep.Online|65|m622|doi:10.1107/S1600536809016055
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/ccss972
title: CCDC 738334: Experimental Crystal Structure Determination

description: Related Article: Jian Yu|2009|Acta Crystallogr.,Sect.E:Struct.Rep.Online|65|m618|doi:10.1107/S1600536809016419
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/ccqsrlt
title: CCDC 679197: Experimental Crystal Structure Determination

description: Related Article: Li Quan, Handong Yin, Liansheng Cui, Minglei Yang, Daqi Wang|2009|Acta Crystallogr.,Sect.E:Struct.Rep.Online|65|m656|doi:10.1107/S1600536809017449
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/ccscfcx
title: CCDC 725969: Experimental Crystal Structure Determination

description: Related Article: W.Duan, J.Sun, Y.Ma, R.Wu|2009|Acta Crystallogr.,Sect.E:Struct.Rep.Online|65|m635|doi:10.1107/S1600536809016717
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/ccs8ykj
title: CCDC 723588: Experimental Crystal Structure Determination

description: Related Article: Li-Jing Cui|2009|Acta Crystallogr.,Sect.E:Struct.Rep.Online|65|m671|doi:10.1107/S1600536809018649
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/ccss994
title: CCDC 738336: Experimental Crystal Structure Determination

description: Related Article: Hui-Juan Lu, Fang-Ming Wang|2009|Acta Crystallogr.,Sect.E:Struct.Rep.Online|65|m660|doi:10.1107/S1600536809015451
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/ccss9b5
title: CCDC 738337: Experimental Crystal Structure Determination

description: Related Article: Yan-Mei Wen, Tian-Jun Feng, Li-Xin He|2009|Acta Crystallogr.,Sect.E:Struct.Rep.Online|65|m676|doi:10.1107/S160053680901842X
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/ccss9c6
title: CCDC 738338: Experimental Crystal Structure Determination

description: Related Article: Feng Li, Huifang Zeng, Zhaowei Yan, Taohai Li|2009|Acta Crystallogr.,Sect.E:Struct.Rep.Online|65|m681|doi:10.1107/S1600536809018339
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/ccsb5y6
title: CCDC 724778: Experimental Crystal Structure Determination

description: Related Article: B.Z.Momeni, F.Rominger, S.S.Hosseini|2009|Acta Crystallogr.,Sect.E:Struct.Rep.Online|65|m690|doi:10.1107/S1600536809017346
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/ccss3tg
title: CCDC 738166: Experimental Crystal Structure Determination

description: Related Article: A.M.Asiri, M.Akkurt, S.A.Khan, M.N.Arshad, I.U.Khan, H.M.A.Sharif|2009|Acta Crystallogr.,Sect.E:Struct.Rep.Online|65|o1246|doi:10.1107/S1600536809016900
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/ccss3vh
title: CCDC 738167: Experimental Crystal Structure Determination

description: Related Article: B.Huang, P.-P.Kung, A.L.Rheingold, A.DiPasquale, A.Yanovsky|2009|Acta Crystallogr.,Sect.E:Struct.Rep.Online|65|o1249|doi:10.1107/S1600536809016742
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/ccss3wj
title: CCDC 738168: Experimental Crystal Structure Determination

description: Related Article: Yao Wang, Rong Wan, Feng Han, Peng Wang|2009|Acta Crystallogr.,Sect.E:Struct.Rep.Online|65|o1250|doi:10.1107/S1600536809016614
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.xczrqy
title: Occurrence Download

description: A dataset containing 233 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Insecta)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-180 -30,-172.5 -30,-172.5 -22.5,-180 -22.5,-180 -30))"
 ]
}

 The dataset includes 233 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041062-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15165872
title: ESA ASIMOV Project Active Fire Dataset

description: The ESA funded ASIMOV project is focused on designing, developing, and evaluating trustworthy Artificial Intelligence (AI) architectures for generating downscaled Essential Climate Variables (ECVs), with a specific emphasis on Active Fire detection using data from the Spinning Enhanced Visible and Infrared Imager (SEVIRI) onboard the Meteosat Second Generation (MSG) satellites.

To support this goal, data from multiple sources have been compiled to create a comprehensive dataset for training deep learning-based super-resolution (SR) models aimed at enhancing wildfire detection and monitoring capabilities with SEVIRI observations. The dataset comprises 12 SEVIRI spectral bands paired with MODIS Active Fire product data, collected during fire events reported by the Greek Fire Brigade between 2014 and 2023. Additionally, topographic features such as elevation, slope, and topographic position index—derived from the GTOPO30 Digital Elevation Model—are included for each recorded fire event.
DOI: 10.5281/zenodo.15165873
title: ESA ASIMOV Project Active Fire Dataset

description: The ESA funded ASIMOV project is focused on designing, developing, and evaluating trustworthy Artificial Intelligence (AI) architectures for generating downscaled Essential Climate Variables (ECVs), with a specific emphasis on Active Fire detection using data from the Spinning Enhanced Visible and Infrared Imager (SEVIRI) onboard the Meteosat Second Generation (MSG) satellites.

To support this goal, data from multiple sources have been compiled to create a comprehensive dataset for training deep learning-based super-resolution (SR) models aimed at enhancing wildfire detection and monitoring capabilities with SEVIRI observations. The dataset comprises 12 SEVIRI spectral bands paired with MODIS Active Fire product data, collected during fire events reported by the Greek Fire Brigade between 2014 and 2023. Additionally, topographic features such as elevation, slope, and topographic position index—derived from the GTOPO30 Digital Elevation Model—are included for each recorded fire event.
DOI: 10.13144/lil-0407
title: Enquête habillement - 1983-1984

description: L'enquête "habillement" menée en 1983-1984 est la 4ème enquête sur ce sujet après celles de 1953, 1963-1964 et 1971-1972. Elle porte sur l'ensemble des achats vestimentaires sur une période de 3 mois précédents l'enquête. Elle est étalée sur une année afin d'éliminer l'effet des variations saisonnières sur l'approvisionnement des ménages. L'enquête s'est déroulée en 4 vagues. Dans l'enquête de 1983, 7354 ménages ont pu être interrogés. L'ensemble des informations sur l'habillement (achat, stock ou tenue portée) a été recueilli suivant une nomenclature qui comporte plus de 300 postes. En 1983 le champ de l'étude a été élargi à certains postes de la décoration personnelle (accessoires décoratifs, bijoux, maroquinerie). En revanche, les tissus d'ameublement et les linges de maison ne font plus partie de l'enquête. Pour les vêtements, les chaussures et certains accessoires d'habillement, le point de vente a été enregistré ainsi que certaines caractéristiques de la situation d'achat (identité de la personne du ménage chargée des achats, mode de paiement). Des informations sur les activités d'entretien des vêtements et de couture ainsi que sur l'équipement du ménage dans ce domaine ont été demandées.
DOI: 10.15468/dl.s7q8tr
title: Occurrence Download

description: A dataset containing 136 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nageia fleuryi (Hickel) de Laub."
 ]
}

 The dataset includes 136 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004299-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0175029.10fu
title: SH0175029.10FU

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/sh0175030.10fu
title: SH0175030.10FU

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/sh0175031.10fu
title: SH0175031.10FU

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/sh0175032.10fu
title: SH0175032.10FU

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/sh0175033.10fu
title: SH0175033.10FU

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/sh0175034.10fu
title: SH0175034.10FU

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/sh0175035.10fu
title: SH0175035.10FU

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/sh0175036.10fu
title: SH0175036.10FU

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/sh0175037.10fu
title: SH0175037.10FU

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.