cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2dl78j
title: CCDC 2222057: Experimental Crystal Structure Determination

description: Related Article: Hongliang Shi, Junwei Ma, Qianli Li, Xiumei Du, Zixuan Meng, Jing Ru, Chunlin Ma|2023|Inorg.Chim.Acta|551|121485|doi:10.1016/j.ica.2023.121485
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: 10.15156/bio/sh0952242.09fu
title: SH0952242.09FU

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: 10.5517/ccdc.csd.cc2dl79k
title: CCDC 2222058: Experimental Crystal Structure Determination

description: Related Article: Hongliang Shi, Junwei Ma, Qianli Li, Xiumei Du, Zixuan Meng, Jing Ru, Chunlin Ma|2023|Inorg.Chim.Acta|551|121485|doi:10.1016/j.ica.2023.121485
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.cc2dmthc
title: CCDC 2223583: Experimental Crystal Structure Determination

description: Related Article: Stanislav Petrovskii, Aleksandra Paderina, Anastasia Sizova, Elena Grachova|2023|Inorg.Chem.|62|5123|doi:10.1021/acs.inorgchem.2c04360
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: 10.15156/bio/sh0952243.09fu
title: SH0952243.09FU

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: 10.5517/ccdc.csd.cc2dmtjd
title: CCDC 2223584: Experimental Crystal Structure Determination

description: Related Article: Stanislav Petrovskii, Aleksandra Paderina, Anastasia Sizova, Elena Grachova|2023|Inorg.Chem.|62|5123|doi:10.1021/acs.inorgchem.2c04360
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.cc2dmwyw
title: CCDC 2223659: Experimental Crystal Structure Determination

description: Related Article: Ruomeng Wei, Xiaoru Zhang, Baodong Yin, Qiang Zhang, Liyan Zhu, Ling Zhang, Wenjiao Yan, Zhushuang Bai, aiqin liu|2022|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: 10.34948/n34s39
title: Directivity-Based PSHA Interactive Tool
DOI: 10.15156/bio/sh0952244.09fu
title: SH0952244.09FU

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: 10.5517/ccdc.csd.cc2dn418
title: CCDC 2223879: Experimental Crystal Structure Determination

description: Related Article: Romane Manguin, María Galiana-Cameo, Tanakorn Kittikool, Cécile Barthes, Jompol Thongpaen, Etienne Bancal, Sonia Mallet-Ladeira, Sirilata Yotphan, Ricardo Castarlenas, Marc Mauduit, Jean-Baptiste Sortais, Olivier Baslé|2023|Chem.Commun.|59|4193|doi:10.1039/D2CC06865F
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.cc2dn429
title: CCDC 2223880: Experimental Crystal Structure Determination

description: Related Article: Romane Manguin, María Galiana-Cameo, Tanakorn Kittikool, Cécile Barthes, Jompol Thongpaen, Etienne Bancal, Sonia Mallet-Ladeira, Sirilata Yotphan, Ricardo Castarlenas, Marc Mauduit, Jean-Baptiste Sortais, Olivier Baslé|2023|Chem.Commun.|59|4193|doi:10.1039/D2CC06865F
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: 10.15156/bio/sh0952245.09fu
title: SH0952245.09FU

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: 10.5517/ccdc.csd.cc2dnc5m
title: CCDC 2224100: Experimental Crystal Structure Determination

description: Related Article: Petr Švec, Iva Vránová, Zdeňka Růžičková, Maksim A. Samsonov, Libor Dostál, Aleš Růžička|2023|J.Organomet.Chem.|990|122644|doi:10.1016/j.jorganchem.2023.122644
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: 10.15156/bio/sh0952246.09fu
title: SH0952246.09FU

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: 10.5517/ccdc.csd.cc2dnc6n
title: CCDC 2224101: Experimental Crystal Structure Determination

description: Related Article: Petr Švec, Iva Vránová, Zdeňka Růžičková, Maksim A. Samsonov, Libor Dostál, Aleš Růžička|2023|J.Organomet.Chem.|990|122644|doi:10.1016/j.jorganchem.2023.122644
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.7796337
title: 101-nights -sleep and dream study night 029

description: The research project presented aims at putting the personal perception of Nathalie’s dreams through an objective, quantitative analysis using electroencephalography (EEG), in an attempt to establish a linkage between the two dimensions. During sleep periods, brain activity is similar to that of an awakened state, yet the thalamus, a phylogenetically ancient structure in the nervous system, isolates us from the environment. But this isolation is not total, and sometimes external stimuli are incorporated into the plot of our dreams. To establish a bridge between the record (EEG) and Nathalie’s dream narrative, we experiment with auditory stimuli as a possible mechanism of interference. The 101 nights is a longitudinal dataset. At the core of the study is the concordance of two divergent fields of knowledge to record and represent the dream experience. For 101 nights physiological and behavioral data are continuously paired with the dreamer’s inner life, geared towards a dialogue. A unique dataset for scientific analyses, methodological developments as well artistic projects, including cognitive science and multiple modalities of art. The unprecedented project allows an internal and external perspective on Nathalie’s dreams, containing extensive data for 101 consecutive nights and days. the project produced four immediate results: 1. 952 GB of brain data was produced by the registry of 256 sensors over the period of 101 nights in continuity, including her body movement (actimetry and infrared camera).<br> 2. the audio logs of the words triggered by the computer system, each night with their exact time.<br> 3. Nathalie’s daily dream diary entries.<br> 4. day-by-day activity.
description: dreamsessions.org would like to acknowledge: the acquisition of 101-nights was possible with the in-kind support of EGI, a division of Philips Healthcare, a medical device company, and a key component of the dense array EEG method based in Eugene, Oregon, U.S.A. the project 101 nights, was launched on September 1st, 2017, in Eugene, OR, USA
DOI: 10.5281/zenodo.7796336
title: 101-nights -sleep and dream study night 029

description: The research project presented aims at putting the personal perception of Nathalie’s dreams through an objective, quantitative analysis using electroencephalography (EEG), in an attempt to establish a linkage between the two dimensions. During sleep periods, brain activity is similar to that of an awakened state, yet the thalamus, a phylogenetically ancient structure in the nervous system, isolates us from the environment. But this isolation is not total, and sometimes external stimuli are incorporated into the plot of our dreams. To establish a bridge between the record (EEG) and Nathalie’s dream narrative, we experiment with auditory stimuli as a possible mechanism of interference. The 101 nights is a longitudinal dataset. At the core of the study is the concordance of two divergent fields of knowledge to record and represent the dream experience. For 101 nights physiological and behavioral data are continuously paired with the dreamer’s inner life, geared towards a dialogue. A unique dataset for scientific analyses, methodological developments as well artistic projects, including cognitive science and multiple modalities of art. The unprecedented project allows an internal and external perspective on Nathalie’s dreams, containing extensive data for 101 consecutive nights and days. the project produced four immediate results: 1. 952 GB of brain data was produced by the registry of 256 sensors over the period of 101 nights in continuity, including her body movement (actimetry and infrared camera).<br> 2. the audio logs of the words triggered by the computer system, each night with their exact time.<br> 3. Nathalie’s daily dream diary entries.<br> 4. day-by-day activity.
description: dreamsessions.org would like to acknowledge: the acquisition of 101-nights was possible with the in-kind support of EGI, a division of Philips Healthcare, a medical device company, and a key component of the dense array EEG method based in Eugene, Oregon, U.S.A. the project 101 nights, was launched on September 1st, 2017, in Eugene, OR, USA
DOI: 10.5281/zenodo.7799759
title: 101-nights -sleep and dream study night 029

description: The research project presented aims at putting the personal perception of Nathalie’s dreams through an objective, quantitative analysis using electroencephalography (EEG), in an attempt to establish a linkage between the two dimensions. During sleep periods, brain activity is similar to that of an awakened state, yet the thalamus, a phylogenetically ancient structure in the nervous system, isolates us from the environment. But this isolation is not total, and sometimes external stimuli are incorporated into the plot of our dreams. To establish a bridge between the record (EEG) and Nathalie’s dream narrative, we experiment with auditory stimuli as a possible mechanism of interference. The 101 nights is a longitudinal dataset. At the core of the study is the concordance of two divergent fields of knowledge to record and represent the dream experience. For 101 nights physiological and behavioral data are continuously paired with the dreamer’s inner life, geared towards a dialogue. A unique dataset for scientific analyses, methodological developments as well artistic projects, including cognitive science and multiple modalities of art. The unprecedented project allows an internal and external perspective on Nathalie’s dreams, containing extensive data for 101 consecutive nights and days. the project produced four immediate results: 1. 952 GB of brain data was produced by the registry of 256 sensors over the period of 101 nights in continuity, including her body movement (actimetry and infrared camera).<br> 2. the audio logs of the words triggered by the computer system, each night with their exact time.<br> 3. Nathalie’s daily dream diary entries.<br> 4. day-by-day activity.
description: dreamsessions.org would like to acknowledge: the acquisition of 101-nights was possible with the in-kind support of EGI, a division of Philips Healthcare, a medical device company, and a key component of the dense array EEG method based in Eugene, Oregon, U.S.A. the project 101 nights, was launched on September 1st, 2017, in Eugene, OR, USA
DOI: 10.5517/ccdc.csd.cc2dnc7p
title: CCDC 2224102: Experimental Crystal Structure Determination

description: Related Article: Petr Švec, Iva Vránová, Zdeňka Růžičková, Maksim A. Samsonov, Libor Dostál, Aleš Růžička|2023|J.Organomet.Chem.|990|122644|doi:10.1016/j.jorganchem.2023.122644
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: 10.15156/bio/sh0952247.09fu
title: SH0952247.09FU

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: 10.5517/ccdc.csd.cc2dnc8q
title: CCDC 2224103: Experimental Crystal Structure Determination

description: Related Article: Petr Švec, Iva Vránová, Zdeňka Růžičková, Maksim A. Samsonov, Libor Dostál, Aleš Růžička|2023|J.Organomet.Chem.|990|122644|doi:10.1016/j.jorganchem.2023.122644
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.cc2dnc9r
title: CCDC 2224104: Experimental Crystal Structure Determination

description: Related Article: Petr Švec, Iva Vránová, Zdeňka Růžičková, Maksim A. Samsonov, Libor Dostál, Aleš Růžička|2023|J.Organomet.Chem.|990|122644|doi:10.1016/j.jorganchem.2023.122644
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: 10.15156/bio/sh0952248.09fu
title: SH0952248.09FU

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: 10.5517/ccdc.csd.cc2dncbs
title: CCDC 2224105: Experimental Crystal Structure Determination

description: Related Article: Petr Švec, Iva Vránová, Zdeňka Růžičková, Maksim A. Samsonov, Libor Dostál, Aleš Růžička|2023|J.Organomet.Chem.|990|122644|doi:10.1016/j.jorganchem.2023.122644
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.cc29bqds
title: CCDC 2125465: Experimental Crystal Structure Determination

description: Related Article: Shi-Nuo Xu, Yan Zheng, Jing-Yao Ye, Zhong-Yang Chen, Jian-Feng Yan, Yan-Hou Geng, Wenjing Hong, Yao-Feng Yuan|2023|Dalton Trans.|52|4349|doi:10.1039/D3DT00011G
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.