cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1201867.10fu
title: SH1201867.10FU

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/sh1201868.10fu
title: SH1201868.10FU

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/sh1201869.10fu
title: SH1201869.10FU

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/sh1201870.10fu
title: SH1201870.10FU

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/sh1201872.10fu
title: SH1201872.10FU

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/sh1201874.10fu
title: SH1201874.10FU

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/sh1201876.10fu
title: SH1201876.10FU

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.2fqx4u
title: Occurrence Download

description: A dataset containing 107 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((71.88904599999999 22.686309, 71.812932 22.680732, 71.73871 22.664141, 71.668224 22.636947, 71.603222 22.599826, 71.54531299999999 22.5537, 71.495925 22.499712, 71.456272 22.4392, 71.42731999999999 22.373662, 71.409772 22.304716, 71.40404100000001 22.234064, 71.410252 22.163447, 71.428234 22.094602, 71.457528 22.02922, 71.49740300000001 21.968907, 71.54686599999999 21.915138, 71.604699 21.869232, 71.669481 21.832309, 71.73962299999999 21.805272, 71.813412 21.788782, 71.88904599999999 21.78324, 71.96468 21.788782, 72.03846900000001 21.805272, 72.108611 21.832309, 72.173393 21.869232, 72.23122600000001 21.915138, 72.280689 21.968907, 72.320564 22.02922, 72.349858 22.094602, 72.36784 22.163447, 72.37405099999999 22.234064, 72.36832 22.304716, 72.35077200000001 22.373662, 72.32182 22.4392, 72.282167 22.499712, 72.23277899999999 22.5537, 72.17487 22.599826, 72.10986800000001 22.636947, 72.039382 22.664141, 71.96516 22.680732, 71.88904599999999 22.686309))"},{"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 107 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082308-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aeshfd
title: Occurrence Download

description: A dataset containing 11089 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Goodeidae"
 ]
}

 The dataset includes 11089 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082309-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s2bf2f
title: Occurrence Download

description: A dataset containing 136 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((71.941624 22.845918, 71.865421 22.840341, 71.791113 22.82375, 71.720546 22.796556, 71.655469 22.759435, 71.597494 22.713309, 71.54805 22.659321, 71.508352 22.59881, 71.47937 22.533272, 71.46180200000001 22.464327, 71.456067 22.393676, 71.462287 22.32306, 71.48029099999999 22.254217, 71.509621 22.188838, 71.549541 22.128526, 71.59906100000001 22.07476, 71.65696 22.028855, 71.72181399999999 21.991934, 71.792035 21.964898, 71.865906 21.948408, 71.941624 21.942867, 72.017342 21.948408, 72.091213 21.964898, 72.161434 21.991934, 72.226288 22.028855, 72.284187 22.07476, 72.333707 22.128526, 72.373627 22.188838, 72.402957 22.254217, 72.42096100000001 22.32306, 72.427181 22.393676, 72.421446 22.464327, 72.40387800000001 22.533272, 72.37489600000001 22.59881, 72.33519800000001 22.659321, 72.285754 22.713309, 72.227779 22.759435, 72.162702 22.796556, 72.092135 22.82375, 72.017827 22.840341, 71.941624 22.845918))"},{"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 136 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082310-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.35090/gatech/79984
title: Data for Chirality Reversal at Finite Magnetic Impurity Strength and Local Signatures of a Topological Phase Transition
DOI: 10.5281/zenodo.18187371
title: Latent encoding of movement in primary visual cortex

description: Optical imaging data. See https://www.biorxiv.org/content/10.1101/2024.11.11.623057v2
DOI: 10.5281/zenodo.18187370
title: Latent encoding of movement in primary visual cortex

description: Optical imaging data. See https://www.biorxiv.org/content/10.1101/2024.11.11.623057v2
DOI: 10.15468/dl.x8uwdy
title: Occurrence Download

description: A dataset containing 105 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((71.881765 22.724046, 71.80562999999999 22.718469, 71.731388 22.701878, 71.660882 22.674684, 71.59586299999999 22.637563, 71.537938 22.591437, 71.48853699999999 22.537449, 71.44887300000001 22.476937, 71.419915 22.411399, 71.402362 22.342453, 71.39663 22.271801, 71.402843 22.201185, 71.42083 22.13234, 71.45013299999999 22.066959, 71.49001800000001 22.006646, 71.539495 21.952878, 71.59734400000001 21.906972, 71.662142 21.87005, 71.732303 21.843013, 71.806111 21.826523, 71.881765 21.820981, 71.957419 21.826523, 72.031227 21.843013, 72.101388 21.87005, 72.166186 21.906972, 72.224035 21.952878, 72.273512 22.006646, 72.31339699999999 22.066959, 72.34269999999999 22.13234, 72.360687 22.201185, 72.3669 22.271801, 72.36116800000001 22.342453, 72.343615 22.411399, 72.314657 22.476937, 72.27499299999999 22.537449, 72.22559200000001 22.591437, 72.16766699999999 22.637563, 72.102648 22.674684, 72.03214199999999 22.701878, 71.9579 22.718469, 71.881765 22.724046))"},{"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 105 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082311-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/cz5fjq
title: Power After the Storm: Achieving Grid Resilience in a Climate Changing World

description: This set of R code files represent the methods of processing the Brelsford et al. 2024 data used in this report, with the resulting .csv files the report uses. Files with R code need to be run in the order as explained in the Power_Storm_READme.PDF to generate results.
DOI: 10.15468/dl.nrsgud
title: Occurrence Download

description: A dataset containing 253 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "OccurrenceStatus is Present",
 "TaxonKey is Papaipema silphii"
 ]
}

 The dataset includes 253 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082312-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc1n4khv
title: CCDC 1523727: Experimental Crystal Structure Determination

description: Related Article: Romina Ocampo, Sandra Mandolesi, Fernando Lorenzo, Diego F. Rodríguez, Fabián Santana-Romo, Antonio Galdamez, Flavia C. Zacconi, Robert A. Burrow, Norma D’Accorso
|2024|Synthesis|56|1429|doi:10.1055/a-2231-4922
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.cc2gs0r1
title: CCDC 2287203: Experimental Crystal Structure Determination

description: Related Article: Rajesh Bhawale|2025|CSD Communication|||
description: Related Article: Rajesh T. Bhawale, Abhinay S. Chillal, Soumen Ghosh, Umesh A. Kshirsagar
|2024|Adv.Synth.Catal.|366|3603|doi:10.1002/adsc.202400466
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.cc2gxpnr
title: CCDC 2291695: Experimental Crystal Structure Determination

description: Related Article: Jian-Qiang Zhao, Dan-Yang Wang, Tian-Yu Yan, Yi-Fan Wu, Zhong-Liang Gong, Zhi-Wei Chen, Cheng-Yang Yue, Dongpeng Yan, Xiao-Wu Lei
|2024|Angew.Chem.,Int.Ed.|63|e202412350|doi:10.1002/anie.202412350
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.cc2gxpps
title: CCDC 2291696: Experimental Crystal Structure Determination

description: Related Article: Jian-Qiang Zhao, Dan-Yang Wang, Tian-Yu Yan, Yi-Fan Wu, Zhong-Liang Gong, Zhi-Wei Chen, Cheng-Yang Yue, Dongpeng Yan, Xiao-Wu Lei
|2024|Angew.Chem.,Int.Ed.|63|e202412350|doi:10.1002/anie.202412350
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.cc2gxpqt
title: CCDC 2291697: Experimental Crystal Structure Determination

description: Related Article: Jian-Qiang Zhao, Dan-Yang Wang, Tian-Yu Yan, Yi-Fan Wu, Zhong-Liang Gong, Zhi-Wei Chen, Cheng-Yang Yue, Dongpeng Yan, Xiao-Wu Lei
|2024|Angew.Chem.,Int.Ed.|63|e202412350|doi:10.1002/anie.202412350
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.cc2hwknm
title: CCDC 2320401: Experimental Crystal Structure Determination

description: Related Article: Haibo Li, Jing Yang, Qianqian Wang, Hua Tong, Jialin Zhu, Wei Liu, Gangfeng Ouyang
|2024|Adv. Opt. Mater.|12|2400364|doi:10.1002/adom.202400364
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.cc2jdbjt
title: CCDC 2335556: Experimental Crystal Structure Determination

description: Related Article: Flávia E. Jacinto, Letícia Pires de Oliveira, Alzir A. Batista, Katia M. Oliveira, Rodrigo S. Correa|2024|RSOS|11|1|doi:10.1098/rsos.240353
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.cc2jdbkv
title: CCDC 2335557: Experimental Crystal Structure Determination

description: Related Article: Flávia E. Jacinto, Letícia Pires de Oliveira, Alzir A. Batista, Katia M. Oliveira, Rodrigo S. Correa|2024|RSOS|11|1|doi:10.1098/rsos.240353
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.cc2jdq4t
title: CCDC 2335916: Experimental Crystal Structure Determination

description: Related Article: Kyriaki Premeti, Dimitra Tsipa, Antonios E. Nadalis, Michael G. Papanikolaou, Vasiliki Syropoulou, Konstantina-Danai Karagkiozeli, George Aggelis, Eleni Iordanidou, Charalampos Labrakakis, Periklis Pappas, Anastasios D. Keramidas, Katerina Antoniou, Paschalis-Thomas Doulias, Themistoklis A. Kabanos, George Leondaritis
|2025|Biochem.Pharmacol.|233|116756|doi:10.1016/j.bcp.2025.116756
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.cc2jfkl4
title: CCDC 2336736: Experimental Crystal Structure Determination

description: Related Article: Kunal K. Jha, Jacob O. Rothbaum, Vignesh C. Bhethanabotla, Charles B. Musgrave, Christopher G. Jones, Sergey I. Morozov, William A. Goddard, Hosea M. Nelson
|2025|Angew.Chem.,Int.Ed.|64|e202502524|doi:10.1002/anie.202502524
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.cc2jfkm5
title: CCDC 2336737: Experimental Crystal Structure Determination

description: Related Article: Kunal K. Jha, Jacob O. Rothbaum, Vignesh C. Bhethanabotla, Charles B. Musgrave, Christopher G. Jones, Sergey I. Morozov, William A. Goddard, Hosea M. Nelson
|2025|Angew.Chem.,Int.Ed.|64|e202502524|doi:10.1002/anie.202502524
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.cc2jfkn6
title: CCDC 2336738: Experimental Crystal Structure Determination

description: Related Article: Kunal K. Jha, Jacob O. Rothbaum, Vignesh C. Bhethanabotla, Charles B. Musgrave, Christopher G. Jones, Sergey I. Morozov, William A. Goddard, Hosea M. Nelson
|2025|Angew.Chem.,Int.Ed.|64|e202502524|doi:10.1002/anie.202502524
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.