cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh2672626.08fu
title: SH2672626.08FU

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/sh1982121.08fu
title: SH1982121.08FU

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/sh1982122.08fu
title: SH1982122.08FU

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/sh2672627.08fu
title: SH2672627.08FU

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/sh2672628.08fu
title: SH2672628.08FU

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/sh1982123.08fu
title: SH1982123.08FU

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/sh1982124.08fu
title: SH1982124.08FU

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/sh2672629.08fu
title: SH2672629.08FU

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/sh2672630.08fu
title: SH2672630.08FU

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/sh1982125.08fu
title: SH1982125.08FU

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.8282899
title: Bacterial cell-size changes resulting from altering the relative expression of Min proteins

description: E. coli single cell measurements of size changes, and FtsZ accumulation times in response to increasing minE expression.
DOI: 10.5281/zenodo.8282952
title: Bacterial cell-size changes resulting from altering the relative expression of Min proteins

description: E. coli single cell measurements of size changes, and FtsZ accumulation times in response to increasing minE expression.
DOI: 10.5281/zenodo.8282962
title: Reward expectation enhances action-related activity of nigral dopaminergic and two striatal output pathways

description: Data for making main and supplementary figures from 'Reward expectation enhances action-related activity of nigral dopaminergic and two striatal output pathways'. The figure (and the corresponding subplot) is specified in each file. In the behavior folder, each row corresponds to one recording session. In the neuronal activity data, each row correspond to one neuron. In the dLight data, each row corresponds to one recording session.
DOI: 10.5281/zenodo.8282961
title: Reward expectation enhances action-related activity of nigral dopaminergic and two striatal output pathways

description: Data for making main and supplementary figures from 'Reward expectation enhances action-related activity of nigral dopaminergic and two striatal output pathways'. The figure (and the corresponding subplot) is specified in each file. In the behavior folder, each row corresponds to one recording session. In the neuronal activity data, each row correspond to one neuron. In the dLight data, each row corresponds to one recording session.
DOI: 10.5517/ccsc4qz
title: CCDC 725701: Experimental Crystal Structure Determination

description: Related Article: S.B.Miao, B.M.Ji, D.S.Deng, C.Xi, N.Ma|2010|Zh.Strukt.Khim.|51|399|
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/ccwfgmc
title: CCDC 817303: Experimental Crystal Structure Determination

description: Related Article: S.I.Dorovskikh, D.A.Piryazev, A.I.Smolentsev, N.B.Morozova|2012|Zh.Strukt.Khim.|53|615|
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/cc11td19
title: CCDC 977710: Experimental Crystal Structure Determination

description: Related Article: Robert T Stibrany|2013|CSD Communication|||
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.cc228lyx
title: CCDC 1914899: Experimental Crystal Structure Determination

description: Related Article: Samuel R. Lawrence, C. André Ohlin, David B. Cordes, Alexandra M. Z. Slawin, Andreas Stasch|2019|Chemical Science|10|10755|doi:10.1039/C9SC03857D
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.cc22h6wp
title: CCDC 1921252: Experimental Crystal Structure Determination

description: Related Article: Rajni M. Bhardwaj, Jennifer A. McMahon, Jonas Nyman, Louise S. Price, Sumit Konar, Iain D. H. Oswald, Colin R. Pulham, Sarah L. Price, Susan M. Reutzel-Edens|2019|J.Am.Chem.Soc.|141|13887|doi:10.1021/jacs.9b06634
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.cc24452k
title: CCDC 1970207: Experimental Crystal Structure Determination

description: Related Article: Caroline M. Storey, Audrius Kalpokas, Matthew R. Gyton, Tobias Krämer, Adrian B. Chaplin|2020|Chemical Science|11|2051|doi:10.1039/C9SC06153C
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.cc249x7m
title: CCDC 1975730: Experimental Crystal Structure Determination

description: Related Article: Sayak Das Gupta, Robert L. Stewart, Dian-Teng Chen, Khalil A. Abboud, Hai-Ping Cheng, Stephen Hill, George Christou|2020|Inorg.Chem.|59|8716|doi:10.1021/acs.inorgchem.0c00332
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.cc24y1z4
title: CCDC 1994136: Experimental Crystal Structure Determination

description: Related Article: Songjie Yang, A. Christopher Garner, John D. Wallis|2020|CrystEngComm|22|3701|doi:10.1039/D0CE00495B
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.cc28mjgx
title: CCDC 2104139: Experimental Crystal Structure Determination

description: Related Article: Krzysztof Durka, Paulina H. Marek-Urban, Krzysztof Nowicki, Jakub Drapała, Katarzyna N. Jarzembska, Piotr Łaski, Aleksandra Grzelak, Marek Dąbrowski, Krzysztof Woźniak, Sergiusz Luliński|2022|Chem.-Eur.J.|28|e202104492|doi:10.1002/chem.202104492
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.cc291zmz
title: CCDC 2117071: Experimental Crystal Structure Determination

description: Related Article: Mario Cicač-Hudi, Christoph M. Feil, Nicholas Birchall, Martin Nieger, Dietrich Gudat|2022|Dalton Trans.|51|998|doi:10.1039/D1DT03978D
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.cc285p9g
title: CCDC 2090835: Experimental Crystal Structure Determination

description: Related Article: Sureshbabu Nallapati, Min-Feng Tseng, Pei-Ling Chen, Shih-Ching Chuang|2022|Org.Lett.|24|2993|doi:10.1021/acs.orglett.2c00893
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.cc2b7bb8
title: CCDC 2151999: Experimental Crystal Structure Determination

description: Related Article: Pasquale Mastropierro, Alan R. Kennedy, Eva Hevia|2022|Chem.Commun.|58|5292|doi:10.1039/D2CC00979J
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.cc2bmh5n
title: CCDC 2163681: Experimental Crystal Structure Determination

description: Related Article: Pierre Thuéry, Jack Harrowfield|2022|Inorg.Chem.|61|9725|doi:10.1021/acs.inorgchem.2c01220
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.cc296w9q
title: CCDC 2121773: Experimental Crystal Structure Determination

description: Related Article: Tamashi Ghosh Dastidar, Kousik Ghosh, Michael G. B. Drew, Rosa M. Gomila, Antonio Frontera, Shouvik Chattopadhyay|2022|Polyhedron|222|115862|doi:10.1016/j.poly.2022.115862
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.cc2b5m5b
title: CCDC 2150351: Experimental Crystal Structure Determination

description: Related Article: Pablo Labra‐Vázquez, María E. Ochoa, Luis A. Alfonso‐Herrera, Marco A. Vera, Norberto Farfán, Rosa Santillan|2022|Eur.J.Org.Chem.|2022|10.1002/ejoc.2022003|doi:10.1002/ejoc.202200351
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.8282988
title: accipiter_francesiae_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.8282987
title: accipiter_francesiae_zanfona_1.fasta.gz

description: .