cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2954d1
title: CCDC 2120102: Experimental Crystal Structure Determination

description: Related Article: Spyridon Koutsoukos, Frederik Philippi, Daniel Rauber, David Pugh, Christopher W. M. Kay, Tom Welton|2022|Phys.Chem.Chem.Phys.(PCCP)|24|6453|doi:10.1039/D1CP05169E
DOI: 10.5517/ccdc.csd.cc2954f2
title: CCDC 2120103: Experimental Crystal Structure Determination

description: Related Article: Spyridon Koutsoukos, Frederik Philippi, Daniel Rauber, David Pugh, Christopher W. M. Kay, Tom Welton|2022|Phys.Chem.Chem.Phys.(PCCP)|24|6453|doi:10.1039/D1CP05169E
DOI: 10.5517/ccdc.csd.cc2954g3
title: CCDC 2120104: Experimental Crystal Structure Determination

description: Related Article: Spyridon Koutsoukos, Frederik Philippi, Daniel Rauber, David Pugh, Christopher W. M. Kay, Tom Welton|2022|Phys.Chem.Chem.Phys.(PCCP)|24|6453|doi:10.1039/D1CP05169E
DOI: 10.5517/ccdc.csd.cc2954h4
title: CCDC 2120105: Experimental Crystal Structure Determination

description: Related Article: Spyridon Koutsoukos, Frederik Philippi, Daniel Rauber, David Pugh, Christopher W. M. Kay, Tom Welton|2022|Phys.Chem.Chem.Phys.(PCCP)|24|6453|doi:10.1039/D1CP05169E
DOI: 10.5517/ccdc.csd.cc2954j5
title: CCDC 2120106: Experimental Crystal Structure Determination

description: Related Article: Spyridon Koutsoukos, Frederik Philippi, Daniel Rauber, David Pugh, Christopher W. M. Kay, Tom Welton|2022|Phys.Chem.Chem.Phys.(PCCP)|24|6453|doi:10.1039/D1CP05169E
DOI: 10.5517/ccdc.csd.cc2954k6
title: CCDC 2120107: Experimental Crystal Structure Determination

description: Related Article: Spyridon Koutsoukos, Frederik Philippi, Daniel Rauber, David Pugh, Christopher W. M. Kay, Tom Welton|2022|Phys.Chem.Chem.Phys.(PCCP)|24|6453|doi:10.1039/D1CP05169E
DOI: 10.5517/ccdc.csd.cc2954l7
title: CCDC 2120108: Experimental Crystal Structure Determination

description: Related Article: Spyridon Koutsoukos, Frederik Philippi, Daniel Rauber, David Pugh, Christopher W. M. Kay, Tom Welton|2022|Phys.Chem.Chem.Phys.(PCCP)|24|6453|doi:10.1039/D1CP05169E
DOI: 10.5517/ccdc.csd.cc2954m8
title: CCDC 2120109: Experimental Crystal Structure Determination

description: Related Article: Spyridon Koutsoukos, Frederik Philippi, Daniel Rauber, David Pugh, Christopher W. M. Kay, Tom Welton|2022|Phys.Chem.Chem.Phys.(PCCP)|24|6453|doi:10.1039/D1CP05169E
DOI: 10.5517/ccdc.csd.cc2954n9
title: CCDC 2120110: Experimental Crystal Structure Determination

description: Related Article: Spyridon Koutsoukos, Frederik Philippi, Daniel Rauber, David Pugh, Christopher W. M. Kay, Tom Welton|2022|Phys.Chem.Chem.Phys.(PCCP)|24|6453|doi:10.1039/D1CP05169E
DOI: 10.5517/ccdc.csd.cc2983f4
title: CCDC 2122955: Experimental Crystal Structure Determination

description: Related Article: Kleopas Y. Palate, Zhongzhen Yang, Adrian C. Whitwood, William P. Unsworth|2022|RSC Chem. Biol.|3|334|doi:10.1039/D1CB00245G
DOI: 10.5517/ccdc.csd.cc2983mb
title: CCDC 2122961: Experimental Crystal Structure Determination

description: Related Article: Kleopas Y. Palate, Zhongzhen Yang, Adrian C. Whitwood, William P. Unsworth|2022|RSC Chem. Biol.|3|334|doi:10.1039/D1CB00245G
DOI: 10.5517/ccdc.csd.cc29bd24
title: CCDC 2125145: Experimental Crystal Structure Determination

description: Related Article: Thomas T. Kim, Chungwoo Lee, Dongwook Kim, Hee-Seung Lee, Sunkyu Han|2022|Org.Lett.|24|1964|doi:10.1021/acs.orglett.2c00379
DOI: 10.5517/ccdc.csd.cc29cfns
title: CCDC 2126155: Experimental Crystal Structure Determination

description: Related Article: Helen A. Goulart, Ricardo H. Bartz, Thiago J. Peglow, Angelita M. Barcellos, Rodrigo Cervo, Roberta Cargnelutti, Raquel G. Jacob, Eder J. Lenardão, Gelson Perin|2022|J.Org.Chem.|87|4273|doi:10.1021/acs.joc.1c03112
DOI: 10.5517/ccdc.csd.cc29cfpt
title: CCDC 2126156: Experimental Crystal Structure Determination

description: Related Article: Helen A. Goulart, Ricardo H. Bartz, Thiago J. Peglow, Angelita M. Barcellos, Rodrigo Cervo, Roberta Cargnelutti, Raquel G. Jacob, Eder J. Lenardão, Gelson Perin|2022|J.Org.Chem.|87|4273|doi:10.1021/acs.joc.1c03112
DOI: 10.5517/ccdc.csd.cc29drl2
title: CCDC 2127424: Experimental Crystal Structure Determination

description: Related Article: Ruslan Barannikov, Eva Kočí, Petr Bezdička, Libor Kobera, Andrii Mahun, Jan Rohlíček, Jiří Plocek, Silvie Švarcová|2022|Dalton Trans.|51|4019|doi:10.1039/D1DT04160F
DOI: 10.5517/ccdc.csd.cc29drm3
title: CCDC 2127425: Experimental Crystal Structure Determination

description: Related Article: Ruslan Barannikov, Eva Kočí, Petr Bezdička, Libor Kobera, Andrii Mahun, Jan Rohlíček, Jiří Plocek, Silvie Švarcová|2022|Dalton Trans.|51|4019|doi:10.1039/D1DT04160F
DOI: 10.5517/ccdc.csd.cc29kvzq
title: CCDC 2132334: Experimental Crystal Structure Determination

description: Related Article: Jin-Fa Chen, Guoqing Tian, Kanglei Liu, Niu Zhang, Nan Wang, Xiaodong Yin, Pangkuan Chen|2022|Org.Lett.|24|1935|doi:10.1021/acs.orglett.2c00313
DOI: 10.5517/ccdc.csd.cc2875nc
title: CCDC 2092272: Experimental Crystal Structure Determination

description: Related Article: Kyle M. K. Jackman, Guangchao Liang, Paul D. Boyle, Paul M. Zimmerman, Johanna M. Blacquiere|2022|Dalton Trans.|51|3977|doi:10.1039/D2DT00322H
DOI: 10.5517/ccdc.csd.cc2b6ts5
title: CCDC 2151517: Experimental Crystal Structure Determination

description: Related Article: Suresh Kumar Yadav, Balu Ramesh, Masilamani Jeganmohan|2022|J.Org.Chem.|87|4134|doi:10.1021/acs.joc.1c02967
DOI: 10.6084/m9.figshare.14912397
title: DATA: Possibilities and Limitations of IMERG Datasets for Estimating Probable Maximum Precipitation.zip

description: This data folder contains IMERG precipitation estimates, computed PMPs, Python scripts written in Jupyter notebook, plots and general results from the study analysis.
DOI: 10.6084/m9.figshare.14912397.v1
title: DATA: Possibilities and Limitations of IMERG Datasets for Estimating Probable Maximum Precipitation.zip

description: This data folder contains IMERG precipitation estimates, computed PMPs, Python scripts written in Jupyter notebook, plots and general results from the study analysis.
DOI: 10.6084/m9.figshare.19387637
title: Root trait responses to drought and warming

description: 1. Plant species show a broad spectrum of plasticity in their covarying root traits in response to soil water limitation, ranging from no change to shifts towards traits that enhance the acquisition of water and nutrients. Knowledge of these plant root trait correlations and associated trait plasticity under drought is crucial to sustaining pasture and grassland productivity under future, drier climates. 2. Here, we investigated belowground responses to drought in four C<sub>3</sub> and three C<sub>4</sub> pasture grasses and whether these explain aboveground responses during extreme winter and spring drought, and post-drought recovery, in a well replicated field manipulation experiment. We hypothesised that: 1) C<sub>3</sub> and C<sub>4</sub> functional groups differ in their belowground trait responses to drought: C<sub>3</sub> species shift their traits in line with a drought avoidance strategy and C<sub>4</sub> species shift towards drought tolerance strategies; 2) post-drought recovery is associated with belowground carbon reserves in both functional groups. 3. Root traits in C<sub>3</sub> species were associated with higher values for specific root length, nitrogen and soluble sugar concentrations, while those in C<sub>4</sub> species were more associated with higher mean diameter, tissue density and starch concentrations. During drought, plasticity in root traits in both C<sub>3</sub> and C<sub>4</sub> functional groups increased values for specific root length, root soluble sugars, root nitrogen, and reduced values for root tissue density, which we interpret as a drought avoidance strategy. Aboveground productivity during drought was related positively with root soluble sugars, crown nitrogen concentrations and negatively with root tissue density and crown soluble sugars, and post-drought recovery was correlated positively with soluble sugars in roots and crowns. 4. These findings highlight the importance of understanding links between root trait plasticity and plant productivity during drought and post-drought recovery for predicting plant species’ responses to changes in a future climate.
DOI: 10.6084/m9.figshare.19387637.v3
title: Root trait responses to drought and warming

description: 1. Plant species show a broad spectrum of plasticity in their covarying root traits in response to soil water limitation, ranging from no change to shifts towards traits that enhance the acquisition of water and nutrients. Knowledge of these plant root trait correlations and associated trait plasticity under drought is crucial to sustaining pasture and grassland productivity under future, drier climates. 2. Here, we investigated belowground responses to drought in four C<sub>3</sub> and three C<sub>4</sub> pasture grasses and whether these explain aboveground responses during extreme winter and spring drought, and post-drought recovery, in a well replicated field manipulation experiment. We hypothesised that: 1) C<sub>3</sub> and C<sub>4</sub> functional groups differ in their belowground trait responses to drought: C<sub>3</sub> species shift their traits in line with a drought avoidance strategy and C<sub>4</sub> species shift towards drought tolerance strategies; 2) post-drought recovery is associated with belowground carbon reserves in both functional groups. 3. Root traits in C<sub>3</sub> species were associated with higher values for specific root length, nitrogen and soluble sugar concentrations, while those in C<sub>4</sub> species were more associated with higher mean diameter, tissue density and starch concentrations. During drought, plasticity in root traits in both C<sub>3</sub> and C<sub>4</sub> functional groups increased values for specific root length, root soluble sugars, root nitrogen, and reduced values for root tissue density, which we interpret as a drought avoidance strategy. Aboveground productivity during drought was related positively with root soluble sugars, crown nitrogen concentrations and negatively with root tissue density and crown soluble sugars, and post-drought recovery was correlated positively with soluble sugars in roots and crowns. 4. These findings highlight the importance of understanding links between root trait plasticity and plant productivity during drought and post-drought recovery for predicting plant species’ responses to changes in a future climate.
DOI: 10.6084/m9.figshare.19387637.v2
title: Root trait responses to drought and warming

description: 1. Plant species show a broad spectrum of plasticity in their covarying root traits in response to soil water limitation, ranging from no change to shifts towards traits that enhance the acquisition of water and nutrients. Knowledge of these plant root trait correlations and associated trait plasticity under drought is crucial to sustaining pasture and grassland productivity under future, drier climates. 2. Here, we investigated belowground responses to drought in four C<sub>3</sub> and three C<sub>4</sub> pasture grasses and whether these explain aboveground responses during extreme winter and spring drought, and post-drought recovery, in a well replicated field manipulation experiment. We hypothesised that: 1) C<sub>3</sub> and C<sub>4</sub> functional groups differ in their belowground trait responses to drought: C<sub>3</sub> species shift their traits in line with a drought avoidance strategy and C<sub>4</sub> species shift towards drought tolerance strategies; 2) post-drought recovery is associated with belowground carbon reserves in both functional groups. 3. Root traits in C<sub>3</sub> species were associated with higher values for specific root length, nitrogen and soluble sugar concentrations, while those in C<sub>4</sub> species were more associated with higher mean diameter, tissue density and starch concentrations. During drought, plasticity in root traits in both C<sub>3</sub> and C<sub>4</sub> functional groups increased values for specific root length, root soluble sugars, root nitrogen, and reduced values for root tissue density, which we interpret as a drought avoidance strategy. Aboveground productivity during drought was related positively with root soluble sugars, crown nitrogen concentrations and negatively with root tissue density and crown soluble sugars, and post-drought recovery was correlated positively with soluble sugars in roots and crowns. 4. These findings highlight the importance of understanding links between root trait plasticity and plant productivity during drought and post-drought recovery for predicting plant species’ responses to changes in a future climate.
DOI: 10.5281/zenodo.6370869
title: The parameters of the anti-interference time-frequency slices

description: In the time-frequency domain, two code element signals with minimal correlation are designed, which represent binary "0" and "1" respectively to transmit information. The anti-interference time-frequency slice modulation method using seismic vibrators may be used for underground emergency communication.
DOI: 10.5281/zenodo.6370868
title: The parameters of the anti-interference time-frequency slices

description: In the time-frequency domain, two code element signals with minimal correlation are designed, which represent binary "0" and "1" respectively to transmit information. The anti-interference time-frequency slice modulation method using seismic vibrators may be used for underground emergency communication.
DOI: 10.34740/kaggle/dsv/3326755
title: Ultimate resolute ambiguous error's algorithm
DOI: 10.34740/kaggle/ds/1597011
title: Ultimate resolute ambiguous error's algorithm
DOI: 10.15156/bio/sh1368951.08fu
title: SH1368951.08FU

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/sh1575580.08fu
title: SH1575580.08FU

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/sh1575581.08fu
title: SH1575581.08FU

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/sh1368952.08fu
title: SH1368952.08FU

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/sh1368953.08fu
title: SH1368953.08FU

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/sh1368954.08fu
title: SH1368954.08FU

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/sh1575582.08fu
title: SH1575582.08FU

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/sh1575583.08fu
title: SH1575583.08FU

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/sh1575584.08fu
title: SH1575584.08FU

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-c4-60564
title: Richard N., letters (1971)

description: Richard N., letter (1971)