cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1252831.08fu
title: SH1252831.08FU

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/sh1252832.08fu
title: SH1252832.08FU

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: 10.25549/one-c4-13774
title: ONE, Inc. meeting minutes (1964)

description: ONE, Inc. meeting minutes for the advertising committee (1964)
DOI: 10.15156/bio/sh1252833.08fu
title: SH1252833.08FU

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/sh1252834.08fu
title: SH1252834.08FU

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/sh1252835.08fu
title: SH1252835.08FU

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/sh1252836.08fu
title: SH1252836.08FU

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/sh1252837.08fu
title: SH1252837.08FU

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: 10.25549/one-c4-13772
title: ONE, Inc. meeting minutes (1964)

description: ONE, Inc. meeting minutes for the advertising committee (1964)
DOI: 10.15156/bio/sh1252838.08fu
title: SH1252838.08FU

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/sh1252839.08fu
title: SH1252839.08FU

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/sh1252840.08fu
title: SH1252840.08FU

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.5131672
title: Traficomin avoin ajoneuvodata 30.6.2015

description: Testaan latauspalvelun toimintaa, Traficomin avoimella ajoneuvodatalla: - Aineistossa on rivejä 5 107 978 kpl<br> - Aineiston päivämäärä 30.6.2015.<br> - Julkaisuajankohta 6.7.2015<br> - Tiedostomuoto: ZIP-pakattu CSV<br> - Tiedoston koko: 840 MT (pakattuna 250 MT)<br> - Aineisto on lisensoitu Creative Commons Nimeä 4.0 Kansainvälinen -lisenssillä
description: License: CC-BY 4.0 International
DOI: 10.5281/zenodo.5131671
title: Traficomin avoin ajoneuvodata 30.6.2015

description: Testaan latauspalvelun toimintaa, Traficomin avoimella ajoneuvodatalla: - Aineistossa on rivejä 5 107 978 kpl<br> - Aineiston päivämäärä 30.6.2015.<br> - Julkaisuajankohta 6.7.2015<br> - Tiedostomuoto: ZIP-pakattu CSV<br> - Tiedoston koko: 840 MT (pakattuna 250 MT)<br> - Aineisto on lisensoitu Creative Commons Nimeä 4.0 Kansainvälinen -lisenssillä
description: License: CC-BY 4.0 International
DOI: 10.25646/8841
title: Tagesdaten-CSV aus dem DIVI-Intensivregister

description: Die Tagesdaten-CSV entspricht einem Auszug der Daten des DIVI-Intensivregisters. Die Datei enthält eine Aggregation der aktuellsten Meldungen pro Landkreis. Es werden die aktuell gemeldeten Anzahlen der COVID-19 Intensivfälle sowie die gemeldeten intensivmedizinischen Behandlungskapazitäten angezeigt. Die Tagesdaten-CSV liefert dabei ausschließlich einen Blick auf die Daten gemäß dem Stand des betrachteten Tages. Die Daten sind im situationsbedingten Kontext aufbereitet, damit sind verschiedene Tagesdaten-CSVs u.U. nicht direkt miteinander vergleichbar. Die aktuellsten Meldungen werden im gewählten Betrachtungszeitfenster über alle Meldebereiche und Standorte aufsummiert. Weitere Informationen sind zu finden unter https://www.intensivregister.de/#/faq
DOI: 10.5281/zenodo.5115314
title: Data for Aerosol Diffuse Fertilization Effect

description: The simulated GPP and diffuse PAR caused by natural and anthropogenic aerosols under all and clear skies.
DOI: 10.5281/zenodo.5115313
title: Data for Aerosol Diffuse Fertilization Effect

description: The simulated GPP and diffuse PAR caused by natural and anthropogenic aerosols under all and clear skies.
DOI: 10.5517/ccdc.csd.cc276dlg
title: CCDC 2061735: Experimental Crystal Structure Determination

description: Related Article: Shi-Yu Chen, Ru-Chao Pan, Min Chen, Ye Liu, Changle Chen, Xiao-Bing Lu|2021|J.Am.Chem.Soc.|143|10743|doi:10.1021/jacs.1c04964
description: Related Article: ye liu|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc276dmh
title: CCDC 2061736: Experimental Crystal Structure Determination

description: Related Article: Shi-Yu Chen, Ru-Chao Pan, Min Chen, Ye Liu, Changle Chen, Xiao-Bing Lu|2021|J.Am.Chem.Soc.|143|10743|doi:10.1021/jacs.1c04964
description: Related Article: ye liu|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc276dnj
title: CCDC 2061737: Experimental Crystal Structure Determination

description: Related Article: Shi-Yu Chen, Ru-Chao Pan, Min Chen, Ye Liu, Changle Chen, Xiao-Bing Lu|2021|J.Am.Chem.Soc.|143|10743|doi:10.1021/jacs.1c04964
description: Related Article: ye liu|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26wmlb
title: CCDC 2052342: Experimental Crystal Structure Determination

description: Related Article: Xinzhang Lin, Xuemei Fu, Yang Yang, Xiuqing Ren, Jie Tang, Chao Liu, Jiahui Huang|2021|Inorg.Chem.|60|10167|doi:10.1021/acs.inorgchem.1c00359
DOI: 10.5517/ccdc.csd.cc27lkr5
title: CCDC 2073427: Experimental Crystal Structure Determination

description: Related Article: Shuang Gai, Ruiqing Fan, Jian Zhang, Jiakai Sun, Pengxiang Li, Ziqi Geng, Xin Jiang, Yayu Dong, Jiaqi Wang, Yulin Yang|2021|Inorg.Chem.|60|10387|doi:10.1021/acs.inorgchem.1c00936
DOI: 10.5517/ccdc.csd.cc27lkt7
title: CCDC 2073429: Experimental Crystal Structure Determination

description: Related Article: Shuang Gai, Ruiqing Fan, Jian Zhang, Jiakai Sun, Pengxiang Li, Ziqi Geng, Xin Jiang, Yayu Dong, Jiaqi Wang, Yulin Yang|2021|Inorg.Chem.|60|10387|doi:10.1021/acs.inorgchem.1c00936
DOI: 10.5517/ccdc.csd.cc27jgcm
title: CCDC 2071400: Experimental Crystal Structure Determination

description: Related Article: Ke Xu, Lei He, Yu-Zhen Wang, Xin Meng, Ping-Ping Shi, Qiong Ye|2021|Inorg.Chem.|60|10642|doi:10.1021/acs.inorgchem.1c01292
DOI: 10.5517/ccdc.csd.cc27tpkb
title: CCDC 2080272: Experimental Crystal Structure Determination

description: Related Article: Ke Xu, Lei He, Yu-Zhen Wang, Xin Meng, Ping-Ping Shi, Qiong Ye|2021|Inorg.Chem.|60|10642|doi:10.1021/acs.inorgchem.1c01292
DOI: 10.5517/ccdc.csd.cc27wfzk
title: CCDC 2081959: Experimental Crystal Structure Determination

description: Related Article: Matthew Hammond, Michael Rauch, Gerard Parkin|2021|J.Am.Chem.Soc.|143|10553|doi:10.1021/jacs.1c04987
DOI: 10.5517/ccdc.csd.cc27wg2p
title: CCDC 2081962: Experimental Crystal Structure Determination

description: Related Article: Matthew Hammond, Michael Rauch, Gerard Parkin|2021|J.Am.Chem.Soc.|143|10553|doi:10.1021/jacs.1c04987
DOI: 10.5517/ccdc.csd.cc27wg3q
title: CCDC 2081963: Experimental Crystal Structure Determination

description: Related Article: Matthew Hammond, Michael Rauch, Gerard Parkin|2021|J.Am.Chem.Soc.|143|10553|doi:10.1021/jacs.1c04987
DOI: 10.5517/ccdc.csd.cc27wg4r
title: CCDC 2081964: Experimental Crystal Structure Determination

description: Related Article: Matthew Hammond, Michael Rauch, Gerard Parkin|2021|J.Am.Chem.Soc.|143|10553|doi:10.1021/jacs.1c04987
DOI: 10.5517/ccdc.csd.cc27wg6t
title: CCDC 2081966: Experimental Crystal Structure Determination

description: Related Article: Matthew Hammond, Michael Rauch, Gerard Parkin|2021|J.Am.Chem.Soc.|143|10553|doi:10.1021/jacs.1c04987
DOI: 10.5517/ccdc.csd.cc2814n4
title: CCDC 2086475: Experimental Crystal Structure Determination

description: Related Article: Shuang Gai, Ruiqing Fan, Jian Zhang, Jiakai Sun, Pengxiang Li, Ziqi Geng, Xin Jiang, Yayu Dong, Jiaqi Wang, Yulin Yang|2021|Inorg.Chem.|60|10387|doi:10.1021/acs.inorgchem.1c00936
DOI: 10.5517/ccdc.csd.cc25wdvb
title: CCDC 2022342: Experimental Crystal Structure Determination

description: Related Article: Rhone P. Brocha Silalahi, Tzu-Hao Chiu, Jhen-Heng Kao, Chun-Yen Wu, Chi-Wei Yin, Yu-Chiao Liu, Yuan Jang Chen, Jean-Yves Saillard, Ming-Hsi Chiang, C. W. Liu|2021|Inorg.Chem.|60|10799|doi:10.1021/acs.inorgchem.1c01489
DOI: 10.5517/ccdc.csd.cc25wdwc
title: CCDC 2022343: Experimental Crystal Structure Determination

description: Related Article: Rhone P. Brocha Silalahi, Tzu-Hao Chiu, Jhen-Heng Kao, Chun-Yen Wu, Chi-Wei Yin, Yu-Chiao Liu, Yuan Jang Chen, Jean-Yves Saillard, Ming-Hsi Chiang, C. W. Liu|2021|Inorg.Chem.|60|10799|doi:10.1021/acs.inorgchem.1c01489
DOI: 10.5517/ccdc.csd.cc25wdxd
title: CCDC 2022344: Experimental Crystal Structure Determination

description: Related Article: Rhone P. Brocha Silalahi, Tzu-Hao Chiu, Jhen-Heng Kao, Chun-Yen Wu, Chi-Wei Yin, Yu-Chiao Liu, Yuan Jang Chen, Jean-Yves Saillard, Ming-Hsi Chiang, C. W. Liu|2021|Inorg.Chem.|60|10799|doi:10.1021/acs.inorgchem.1c01489
DOI: 10.5517/ccdc.csd.cc25wdyf
title: CCDC 2022345: Experimental Crystal Structure Determination

description: Related Article: Rhone P. Brocha Silalahi, Tzu-Hao Chiu, Jhen-Heng Kao, Chun-Yen Wu, Chi-Wei Yin, Yu-Chiao Liu, Yuan Jang Chen, Jean-Yves Saillard, Ming-Hsi Chiang, C. W. Liu|2021|Inorg.Chem.|60|10799|doi:10.1021/acs.inorgchem.1c01489
DOI: 10.15468/8ns3kg
title: A new integrated morpho- and molecular systematic classification of Cenozoic radiolarians (Class Polycystinea) - suprageneric taxonomy and logical nomenclatorial acts

description: This dataset contains the digitized treatments in Plazi based on the original journal article Suzuki, Noritoshi, Caulet, Jean-Pierre, Dumitrica, Paulian (2021): A new integrated morpho- and molecular systematic classification of Cenozoic radiolarians (Class Polycystinea) - suprageneric taxonomy and logical nomenclatorial acts. Geodiversitas 43 (15): 405-573, DOI: 10.5252/geodiversitas2021v43a15
DOI: 10.7910/dvn/uqv0ed
title: Replication Data for: GAMs for macroinvertebrates in QTP

description: (1) Multi-metric habitat suitability model (GAM_MMI) for macroinvertebrates collected on the QTP; (2) Habitat suitability models (GAM_HSI.P/GAM_HSI.B/GAM_HSI.L) for Polypedilum/Brachycentrus/Limnophila collected on the QTP.
DOI: 10.5281/zenodo.5112135
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DOI: 10.25345/c5k829
title: MassIVE MSV000087878 - Antimicrobial Activity of Rumex crispus using a Multivariate Data Analysis Approach
title: Plants have a long history of use for their medicinal properties. The complexity of botanical extracts presents unique challenges and necessitates the application of innovative approaches to correctly identify and quantify bioactive compounds. With this study, we employed untargeted metabolomics to explore the antimicrobial activity of the botanical Rumex crispus (yellow dock), a member of the Polygonaceae family that is used as an herbal remedy for bacterial infections. Ultra high-performance liquid chromatography coupled to high resolution mass-spectrometry (UPLC-MS) was used to identify and quantify the known antimicrobial compound emodin. In addition, we used biochemometric approaches to integrate data measuring antimicrobial activity from R. crispus root starting material and fractions against methicillin resistant Staphylococcus aureus (MRSA) with UPLC-MS data. Our results support the hypothesis that multiple constituents, including the anthraquinone emodin, contribute to the antimicrobial activity of R. crispus against MRSA.
DOI: 10.34740/kaggle/dsv/2457957
title: 2021 World Population (updated daily)
DOI: 10.6084/m9.figshare.15048174
title: Kaiso_AM.bw

description: chip-seq Kaiso
DOI: 10.6084/m9.figshare.15048174.v1
title: Kaiso_AM.bw

description: chip-seq Kaiso
DOI: 10.34740/kaggle/dsv/2457963
title: Twitter: Trending Tweets per week (updated weekly)
DOI: 10.15468/n5b8tz
title: A new species of Corydoras Lacépède, 1803 (Siluriformes: Callichthyidae) from the upper rio Paraná basin, Brazil

description: This dataset contains the digitized treatments in Plazi based on the original journal article Tencatt, Luiz F. C., Britto, Marcelo R., Pavanelli, Carla S. (2014): A new species of Corydoras Lacépède, 1803 (Siluriformes: Callichthyidae) from the upper rio Paraná basin, Brazil. Neotropical Ichthyology 12 (1): 89-96, DOI: 10.1590/S1679-62252014000100007, URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1679-62252014000100071&lng=en&tlng=en
DOI: 10.34740/kaggle/dsv/2457993
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.6084/m9.figshare.15048182
title: Data speadsheet from Protophones, the precursors to speech, dominate the human infant vocal landscape

description: Data from Oller et al. Speech-like Sounds Dominate the Infant Vocal landscape
DOI: 10.6084/m9.figshare.15048182.v1
title: Data speadsheet from Protophones, the precursors to speech, dominate the human infant vocal landscape

description: Data from Oller et al. Speech-like Sounds Dominate the Infant Vocal landscape