cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1392578.10fu
title: SH1392578.10FU

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/sh1392579.10fu
title: SH1392579.10FU

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/sh1392581.10fu
title: SH1392581.10FU

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/sh1392584.10fu
title: SH1392584.10FU

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.zfcemy
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"MEX.7.21_2","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006003-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1392585.10fu
title: SH1392585.10FU

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/sh1392586.10fu
title: SH1392586.10FU

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/sh1392587.10fu
title: SH1392587.10FU

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/sh1392591.10fu
title: SH1392591.10FU

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/sh1392593.10fu
title: SH1392593.10FU

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.34zpve
title: Occurrence Download

description: A dataset containing 2588402 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is 2023 Contributions of Plant Specimen Data inside China",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 2588402 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007389-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9bgbsc
title: Occurrence Download

description: A dataset listing the 949 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Macro-moth distribution records for the UK from Butterfly Conservation, up to 2019"
 ]
}

 The dataset's 949 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007390-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15844410
title: Raw data_4

description: This dataset contains raw two photon images, and calcium trace and behavior data from the paper Sheng et al 2025 "Activity-Dependent Remodeling of Corticostriatal Axonal Boutons During Motor Learning”. Refer to DOI: 10.5281/zenodo.15855856  (https://doi.org/10.5281/zenodo.15855856) for the README file information.
DOI: 10.5281/zenodo.15844411
title: Raw data_4

description: This dataset contains raw two photon images, and calcium trace and behavior data from the paper Sheng et al 2025 "Activity-Dependent Remodeling of Corticostriatal Axonal Boutons During Motor Learning”. Refer to DOI: 10.5281/zenodo.15855856  (https://doi.org/10.5281/zenodo.15855856) for the README file information.
DOI: 10.5517/ccdc.csd.cc2lwnv0
title: CCDC 2409873: Experimental Crystal Structure Determination

description: Related Article: Pengyu Zhang, Chen Li, Haoyang Guan, Yihao Wang, Chao Wang, Yiping Du, Kun Zheng, Jiawen Xiao, Zhengguang Yan|2025|J.Colloid Interface Sci.|698|138028|doi:10.1016/j.jcis.2025.138028
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.cc2lzz5r
title: CCDC 2413045: Experimental Crystal Structure Determination

description: Related Article: Dongyu Zhou, Yongshang Li, Huimin Jie, Jiayan Lei, Zi'ang Chen, Xiaoping Chen, Can Cui, Huadong Luo, Jingjing Chen, Haohong Li, Huidong Zheng|2025|CrystEngComm|27|3492|doi:10.1039/D5CE00006H
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.cc2lzz6s
title: CCDC 2413046: Experimental Crystal Structure Determination

description: Related Article: Dongyu Zhou, Yongshang Li, Huimin Jie, Jiayan Lei, Zi'ang Chen, Xiaoping Chen, Can Cui, Huadong Luo, Jingjing Chen, Haohong Li, Huidong Zheng|2025|CrystEngComm|27|3492|doi:10.1039/D5CE00006H
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.cc2lzz7t
title: CCDC 2413047: Experimental Crystal Structure Determination

description: Related Article: Dongyu Zhou, Yongshang Li, Huimin Jie, Jiayan Lei, Zi'ang Chen, Xiaoping Chen, Can Cui, Huadong Luo, Jingjing Chen, Haohong Li, Huidong Zheng|2025|CrystEngComm|27|3492|doi:10.1039/D5CE00006H
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.cc2m5fv3
title: CCDC 2418305: Experimental Crystal Structure Determination

description: Related Article: Jia-Ying Yu, Zhe-Kun Xu, Jia-Qi Gan, Yan Qin, Hui-Peng Lv, Zhong-Xia Wang|2025|Inorg.Chem.|64|5284|doi:10.1021/acs.inorgchem.5c00403
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.cc2m84sv
title: CCDC 2420907: Experimental Crystal Structure Determination

description: Related Article: Elizaveta V. Panova, Julia K. Voronina, Asmet N. Azizova, Ömer Faruk Tutar, Ghodrat Mahmoudi, Damir A. Safin|2025|CrystEngComm|27|3502|doi:10.1039/D5CE00191A
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.cc2m84tw
title: CCDC 2420908: Experimental Crystal Structure Determination

description: Related Article: Elizaveta V. Panova, Julia K. Voronina, Asmet N. Azizova, Ömer Faruk Tutar, Ghodrat Mahmoudi, Damir A. Safin|2025|CrystEngComm|27|3502|doi:10.1039/D5CE00191A
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.cc2m8yvq
title: CCDC 2421684: Experimental Crystal Structure Determination

description: Related Article: Krishnendu Paramanik, Nilaj Bandopadhyay, Suraj Kumar Agrawalla, Chandra Shekhar Purohit, Bhaskar Biswas, Hari Sankar Das|2025|Cat.Sci.Tech.|15|3325|doi:10.1039/D5CY00140D
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.cc2mbcq2
title: CCDC 2423044: Experimental Crystal Structure Determination

description: Related Article: Joan Pereira, Nicolas Casaretto, Gilles Frison, Bastien Nay|2025|Chemical Science|16|11375|doi:10.1039/D5SC02953H
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.cc2m2djn
title: CCDC 2415381: Experimental Crystal Structure Determination

description: Related Article: K. Mohamed Yusuf Baig, Sundaramoorthy Marimuthu, Govindhan Maduraiveeran, Goutam Kumar Kole|2025|Dalton Trans.|54|11025|doi:10.1039/D5DT00760G
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.cc2m2dlq
title: CCDC 2415383: Experimental Crystal Structure Determination

description: Related Article: K. Mohamed Yusuf Baig, Sundaramoorthy Marimuthu, Govindhan Maduraiveeran, Goutam Kumar Kole|2025|Dalton Trans.|54|11025|doi:10.1039/D5DT00760G
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.cc2md7hs
title: CCDC 2424835: Experimental Crystal Structure Determination

description: Related Article: Yu. A. Golubeva, K. S. Smirnova, L. S. Klyushova, A. S. Berezin, E. V. Lider|2025|New J.Chem.|49|9465|doi:10.1039/D5NJ00875A
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.cc2md7kv
title: CCDC 2424837: Experimental Crystal Structure Determination

description: Related Article: Yu. A. Golubeva, K. S. Smirnova, L. S. Klyushova, A. S. Berezin, E. V. Lider|2025|New J.Chem.|49|9465|doi:10.1039/D5NJ00875A
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.cc2mm3q3
title: CCDC 2431445: Experimental Crystal Structure Determination

description: Related Article: Changhao Liu, Mi Li, Xinyu Wang, Guoqing Li, Xue Zhao, Xuebin Wang, Siying Qin, Xuejian Zhang, Nicola J. Rogers, Xin Zhang, Qianshuo Dong, Guy J. Clarkson, Yuji Wang, Xinyi Yang, Peter Scott, Rubing Wang, Hualong Song|2025|Angew.Chem.,Int.Ed.|64|e202508959|doi:10.1002/anie.202508959
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.cc2mm3r4
title: CCDC 2431446: Experimental Crystal Structure Determination

description: Related Article: Changhao Liu, Mi Li, Xinyu Wang, Guoqing Li, Xue Zhao, Xuebin Wang, Siying Qin, Xuejian Zhang, Nicola J. Rogers, Xin Zhang, Qianshuo Dong, Guy J. Clarkson, Yuji Wang, Xinyi Yang, Peter Scott, Rubing Wang, Hualong Song|2025|Angew.Chem.,Int.Ed.|64|e202508959|doi:10.1002/anie.202508959
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.yjnyp6
title: Occurrence Download

description: A dataset containing 4458 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "TaxonKey is Ampulicidae"
 ]
}

 The dataset includes 4458 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001148-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jh7ztg
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Stenodraba suffruticosa"
 ]
}

 The dataset includes 16 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001149-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.