cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh465581.07fu
title: SH465581.07FU

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/sh1833747.08fu
title: SH1833747.08FU

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/sh1833748.08fu
title: SH1833748.08FU

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/sh465582.07fu
title: SH465582.07FU

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/sh465583.07fu
title: SH465583.07FU

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/sh1833749.08fu
title: SH1833749.08FU

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/sh1833750.08fu
title: SH1833750.08FU

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/sh465584.07fu
title: SH465584.07FU

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/sh465585.07fu
title: SH465585.07FU

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: 10.25326/230
title:  EUREC4A BCO surface radiation data (v1.0.0)

description: Ground-based broadband radiation measurements at the Barbados Cloud Observatory during EUREC4A
DOI: 10.25326/231
title: EUREC4A BCO micro rain radar data (v1.0.0)

description: Microwave rain radar measurements at the Barbados Cloud Observatory during EUREC4A
DOI: 10.15468/jtvvgp
title: The deep-water Calappidae, Matutidae and Leucosiidae of the Solomon Islands, with a description of a new species of Euclosia Galil, 2003 (Crustacea, Decapoda, Brachyura)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Galil, Bella S. (2007): The deep-water Calappidae, Matutidae and Leucosiidae of the Solomon Islands, with a description of a new species of Euclosia Galil, 2003 (Crustacea, Decapoda, Brachyura). Zoosystema 29 (3): 555-563, DOI: http://doi.org/10.5281/zenodo.4689950
DOI: 10.15468/hxt36e
title: A new species of Glyphocrangon (Crustacea, Decapoda, Caridea, Glyphocrangonidae) from the Austral Islands, French Polynesia

description: This dataset contains the digitized treatments in Plazi based on the original journal article Komai, Tomoyuki (2007): A new species of Glyphocrangon (Crustacea, Decapoda, Caridea, Glyphocrangonidae) from the Austral Islands, French Polynesia. Zoosystema 29 (3): 565-573, DOI: http://doi.org/10.5281/zenodo.4689956
DOI: 10.15468/p8py78
title: Taxonomic notes on the genus Astragalus (Fabaceae) in Iran, with the description of a new species

description: This dataset contains the digitized treatments in Plazi based on the original journal article Ranjbar, Massoud (2010): Taxonomic notes on the genus Astragalus (Fabaceae) in Iran, with the description of a new species. Phytotaxa 7: 46-51, DOI: 10.11646/phytotaxa.7.1.6
DOI: 10.15468/zjyszt
title: Typification of ornamental plants 5: Philadelphus mexicanus (Hydrangeaceae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Christenhusz, Maarten J. M. (2010): Typification of ornamental plants 5: Philadelphus mexicanus (Hydrangeaceae). Phytotaxa 3: 63, DOI: 10.11646/phytotaxa.3.1.12
DOI: 10.15468/3b6r2z
title: Liste des types d’oiseaux des collections du Muséum national d’Histoire naturelle de Paris. 17: Pigeons (Columbidae), complément

description: This dataset contains the digitized treatments in Plazi based on the original journal article Voisin, Claire, Voisin, Jean-François, Jouanin, Christian, Bour, Roger (2008): Liste des types d’oiseaux des collections du Muséum national d’Histoire naturelle de Paris. 17: Pigeons (Columbidae), complément. Zoosystema 30 (4): 773-779, DOI: http://doi.org/10.5281/zenodo.4689966
DOI: 10.15468/8vhma3
title: The new fern genus Calciphilopteris (Pteridaceae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Yesilyurt, Jovita C., Schneider, Harald (2010): The new fern genus Calciphilopteris (Pteridaceae). Phytotaxa 7: 52-59, DOI: 10.11646/phytotaxa.7.1.7
DOI: 10.5281/zenodo.4893432
title: The impact of human mobility data scales and processing on movement predictability

description: This file contains statistical measures of human individual movement trajectories calculated and analysed during the "The impact of human mobility data scales and processing on movement predictability" study submitted to Scientific Reports.
DOI: 10.5281/zenodo.4627047
title: The impact of human mobility data scales and processing on movement predictability

description: This file contains statistical measures of human individual movement trajectories calculated and analysed during the "The impact of human mobility data scales and processing on movement predictability" study submitted to Scientific Reports.
DOI: 10.15468/sxafsb
title: The shrimp genus Leptalpheus Williams, 1965 in the southwestern Caribbean Sea, with description of one new species from Panama (Crustacea, Decapoda, Alpheidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Anker, Arthur (2008): The shrimp genus Leptalpheus Williams, 1965 in the southwestern Caribbean Sea, with description of one new species from Panama (Crustacea, Decapoda, Alpheidae). Zoosystema 30 (4): 781-794, DOI: http://doi.org/10.5281/zenodo.4689970
DOI: 10.5281/zenodo.4893363
title: Microbial and metabolic features in renal transplant recipients with posttransplantation diabetes mellitus

description: <strong>Context: </strong>As a common complication after renal transplantation, posttransplantation diabetes mellitus (PTDM) is associated with the decreased quality of life of the renal transplant recipients (RTRs), but the lack of a complete understanding of the mechanisms of PTDM genesis thwarts its treatment and prevention. <strong>Objective:</strong> To investigate the characteristics and association of gut microbiota and fecal metabolites in RTRs with PTDM. <strong>Methods:</strong> Fecal samples were collected from RTRs, and its composition of gut microbiota and fecal metabolites were detected by using 16S rRNA gene V4-5 region sequencing and liquid chromatography-mass spectrometry, respectively. The information of environmental exposures is obtained through questionnaires. <strong>Results: </strong>17% of RTRs were diagnosed with PTDM. Fecal metabolome analysis revealed the unique distribution characteristics of metabolites of RTRs with PTDM, and could distinguish RTRs with impaired fasting glucose(IFG)/PTDM from RTRs with normal glucose tolerance. Specific metabolites (GABA, pregnenolone, hydroquinone, etc.) differentially expressed in RTRs with PTDM were correlated with fasting plasma glucose(FPG). Significant difference was identified in composition and abundance, but not in richness of gut microbiota in RTRs with PTDM. 12 distinguishing components of gut microbiota were found in RTRs with PTDM. The consumption of coarse grains was correlated with the composition of gut microbiota, and negatively correlated with FPG. <strong>Conclusion:</strong> Our study revealed the features of the gut microbiota and fecal metabolites in RTRs with PTDM, and identified a new set of key PTDM-related metabolites and bacteria, which can provide a new direction for further studies aiming to understand the occurrence of PTDM.
DOI: 10.5281/zenodo.4893362
title: Microbial and metabolic features in renal transplant recipients with posttransplantation diabetes mellitus

description: <strong>Context: </strong>As a common complication after renal transplantation, posttransplantation diabetes mellitus (PTDM) is associated with the decreased quality of life of the renal transplant recipients (RTRs), but the lack of a complete understanding of the mechanisms of PTDM genesis thwarts its treatment and prevention. <strong>Objective:</strong> To investigate the characteristics and association of gut microbiota and fecal metabolites in RTRs with PTDM. <strong>Methods:</strong> Fecal samples were collected from RTRs, and its composition of gut microbiota and fecal metabolites were detected by using 16S rRNA gene V4-5 region sequencing and liquid chromatography-mass spectrometry, respectively. The information of environmental exposures is obtained through questionnaires. <strong>Results: </strong>17% of RTRs were diagnosed with PTDM. Fecal metabolome analysis revealed the unique distribution characteristics of metabolites of RTRs with PTDM, and could distinguish RTRs with impaired fasting glucose(IFG)/PTDM from RTRs with normal glucose tolerance. Specific metabolites (GABA, pregnenolone, hydroquinone, etc.) differentially expressed in RTRs with PTDM were correlated with fasting plasma glucose(FPG). Significant difference was identified in composition and abundance, but not in richness of gut microbiota in RTRs with PTDM. 12 distinguishing components of gut microbiota were found in RTRs with PTDM. The consumption of coarse grains was correlated with the composition of gut microbiota, and negatively correlated with FPG. <strong>Conclusion:</strong> Our study revealed the features of the gut microbiota and fecal metabolites in RTRs with PTDM, and identified a new set of key PTDM-related metabolites and bacteria, which can provide a new direction for further studies aiming to understand the occurrence of PTDM.
DOI: 10.5517/ccdc.csd.cc26b2tg
title: CCDC 2035485: Experimental Crystal Structure Determination

description: Related Article: Pinky Yadav, Sally Khoury, Natalia Fridman, Vinay K. Sharma, Amit Kumar, Mahmoud Majdoub, Anil Kumar, Yael Diskin-Posner, Atif Mahammed, Zeev Gross|2021|Angew.Chem.,Int.Ed.|60|12829|doi:10.1002/anie.202103477
DOI: 10.5517/ccdc.csd.cc26b2wj
title: CCDC 2035487: Experimental Crystal Structure Determination

description: Related Article: Pinky Yadav, Sally Khoury, Natalia Fridman, Vinay K. Sharma, Amit Kumar, Mahmoud Majdoub, Anil Kumar, Yael Diskin-Posner, Atif Mahammed, Zeev Gross|2021|Angew.Chem.,Int.Ed.|60|12829|doi:10.1002/anie.202103477
DOI: 10.5517/ccdc.csd.cc26b2xk
title: CCDC 2035488: Experimental Crystal Structure Determination

description: Related Article: Pinky Yadav, Sally Khoury, Natalia Fridman, Vinay K. Sharma, Amit Kumar, Mahmoud Majdoub, Anil Kumar, Yael Diskin-Posner, Atif Mahammed, Zeev Gross|2021|Angew.Chem.,Int.Ed.|60|12829|doi:10.1002/anie.202103477
DOI: 10.5517/ccdc.csd.cc26b2yl
title: CCDC 2035489: Experimental Crystal Structure Determination

description: Related Article: Pinky Yadav, Sally Khoury, Natalia Fridman, Vinay K. Sharma, Amit Kumar, Mahmoud Majdoub, Anil Kumar, Yael Diskin-Posner, Atif Mahammed, Zeev Gross|2021|Angew.Chem.,Int.Ed.|60|12829|doi:10.1002/anie.202103477
DOI: 10.5517/ccdc.csd.cc26b2zm
title: CCDC 2035490: Experimental Crystal Structure Determination

description: Related Article: Pinky Yadav, Sally Khoury, Natalia Fridman, Vinay K. Sharma, Amit Kumar, Mahmoud Majdoub, Anil Kumar, Yael Diskin-Posner, Atif Mahammed, Zeev Gross|2021|Angew.Chem.,Int.Ed.|60|12829|doi:10.1002/anie.202103477
DOI: 10.5517/ccdc.csd.cc26b30p
title: CCDC 2035491: Experimental Crystal Structure Determination

description: Related Article: Pinky Yadav, Sally Khoury, Natalia Fridman, Vinay K. Sharma, Amit Kumar, Mahmoud Majdoub, Anil Kumar, Yael Diskin-Posner, Atif Mahammed, Zeev Gross|2021|Angew.Chem.,Int.Ed.|60|12829|doi:10.1002/anie.202103477
DOI: 10.5517/ccdc.csd.cc26b33s
title: CCDC 2035494: Experimental Crystal Structure Determination

description: Related Article: Pinky Yadav, Sally Khoury, Natalia Fridman, Vinay K. Sharma, Amit Kumar, Mahmoud Majdoub, Anil Kumar, Yael Diskin-Posner, Atif Mahammed, Zeev Gross|2021|Angew.Chem.,Int.Ed.|60|12829|doi:10.1002/anie.202103477
DOI: 10.5517/ccdc.csd.cc26b34t
title: CCDC 2035495: Experimental Crystal Structure Determination

description: Related Article: Pinky Yadav, Sally Khoury, Natalia Fridman, Vinay K. Sharma, Amit Kumar, Mahmoud Majdoub, Anil Kumar, Yael Diskin-Posner, Atif Mahammed, Zeev Gross|2021|Angew.Chem.,Int.Ed.|60|12829|doi:10.1002/anie.202103477
DOI: 10.5517/ccdc.csd.cc26b35v
title: CCDC 2035496: Experimental Crystal Structure Determination

description: Related Article: Pinky Yadav, Sally Khoury, Natalia Fridman, Vinay K. Sharma, Amit Kumar, Mahmoud Majdoub, Anil Kumar, Yael Diskin-Posner, Atif Mahammed, Zeev Gross|2021|Angew.Chem.,Int.Ed.|60|12829|doi:10.1002/anie.202103477
DOI: 10.5517/ccdc.csd.cc26cbmk
title: CCDC 2036688: Experimental Crystal Structure Determination

description: Related Article: Pinky Yadav, Sally Khoury, Natalia Fridman, Vinay K. Sharma, Amit Kumar, Mahmoud Majdoub, Anil Kumar, Yael Diskin-Posner, Atif Mahammed, Zeev Gross|2021|Angew.Chem.,Int.Ed.|60|12829|doi:10.1002/anie.202103477
DOI: 10.5517/ccdc.csd.cc26zbbw
title: CCDC 2054938: Experimental Crystal Structure Determination

description: Related Article: Yu-Jie Zhong, Jian-Hong Liao, Tzu-Hao Chiu, Samia Kahlal, Che-Jen Lin, Jean-Yves Saillard, C. W. Liu|2021|Angew.Chem.,Int.Ed.|60|12712|doi:10.1002/anie.202100965
DOI: 10.5517/ccdc.csd.cc2728d0
title: CCDC 2057761: Experimental Crystal Structure Determination

description: Related Article: Jessica Neufeld, Timo Stünkel, Christian Mück-Lichtenfeld, Constantin G. Daniliuc, Ryan Gilmour|2021|Angew.Chem.,Int.Ed.|60|13647|doi:10.1002/anie.202102222
DOI: 10.5517/ccdc.csd.cc276ths
title: CCDC 2062135: Experimental Crystal Structure Determination

description: Related Article: Tobias Brückner, Felipe Fantuzzi, Tom E. Stennett, Ivo Krummenacher, Rian D. Dewhurst, Bernd Engels, Holger Braunschweig|2021|Angew.Chem.,Int.Ed.|60|13661|doi:10.1002/anie.202102218
DOI: 10.5517/ccdc.csd.cc276tjt
title: CCDC 2062136: Experimental Crystal Structure Determination

description: Related Article: Tobias Brückner, Felipe Fantuzzi, Tom E. Stennett, Ivo Krummenacher, Rian D. Dewhurst, Bernd Engels, Holger Braunschweig|2021|Angew.Chem.,Int.Ed.|60|13661|doi:10.1002/anie.202102218
DOI: 10.5517/ccdc.csd.cc276tlw
title: CCDC 2062138: Experimental Crystal Structure Determination

description: Related Article: Tobias Brückner, Felipe Fantuzzi, Tom E. Stennett, Ivo Krummenacher, Rian D. Dewhurst, Bernd Engels, Holger Braunschweig|2021|Angew.Chem.,Int.Ed.|60|13661|doi:10.1002/anie.202102218
DOI: 10.5517/ccdc.csd.cc27b0h3
title: CCDC 2065204: Experimental Crystal Structure Determination

description: Related Article: Masami Sakamoto, Naohiro Uemura, Rei Saito, Haruna Shimobayashi, Yasushi Yoshida, Takashi Mino, Takashige Omatsu|2021|Angew.Chem.,Int.Ed.|60|12819|doi:10.1002/anie.202103382