cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2bdm5k
title: CCDC 2157078: Experimental Crystal Structure Determination

description: Related Article: Zhifeng Xiao, Hannah F. Drake, Gregory S. Day, Jason E. Kuszynski, Hengyu Lin, Haomiao Xie, Peiyu Cai, Matthew R. Ryder, Hong-Cai Zhou|2022|Cell Reports Physical Science|3|101074|doi:10.1016/j.xcrp.2022.101074
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.cc2c4ljn
title: CCDC 2179161: Experimental Crystal Structure Determination

description: Related Article: Jinyan Ji, Chao Qi, Hongxia Zhao, Xuewu Yan, Zhifang Chai, Shuao Wang, Tao Zheng|2022|Inorg.Chem.|61|16794|doi:10.1021/acs.inorgchem.2c02636
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.cc2c4lkp
title: CCDC 2179162: Experimental Crystal Structure Determination

description: Related Article: Jinyan Ji, Chao Qi, Hongxia Zhao, Xuewu Yan, Zhifang Chai, Shuao Wang, Tao Zheng|2022|Inorg.Chem.|61|16794|doi:10.1021/acs.inorgchem.2c02636
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.cc2c4llq
title: CCDC 2179163: Experimental Crystal Structure Determination

description: Related Article: Jinyan Ji, Chao Qi, Hongxia Zhao, Xuewu Yan, Zhifang Chai, Shuao Wang, Tao Zheng|2022|Inorg.Chem.|61|16794|doi:10.1021/acs.inorgchem.2c02636
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.cc2c4yl2
title: CCDC 2179504: Experimental Crystal Structure Determination

description: Related Article: Bingyi Zhou, Guoyu Yang, Caixia Wang, Lijie Liu, Lijun Shi, Zhenliang Pan, Xiaoming Ji, Lulu Wu, Huayu Zheng, Cuilian Xu, Liangxin Fan|2022|ACS Omega|7|38084|doi:10.1021/acsomega.2c05855
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.cc2c58g9
title: CCDC 2179810: Experimental Crystal Structure Determination

description: Related Article: Rajata Kumar Sahoo, Sagrika Rajput, A. Ganesh Patro, Sharanappa Nembenna|2022|Dalton Trans.|51|16009|doi:10.1039/D2DT02846H
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.cc2c5h9c
title: CCDC 2180022: Experimental Crystal Structure Determination

description: Related Article: Ruyan Zhao, Tong Zhu, Sasa Wang, Charlie Jarrett-Wilkins, Amin Morteza Najjarian, Alan J. Lough, Sjoerd Hoogland, Edward H. Sargent, Dwight S. Seferos|2022|Chemical Science|13|12144|doi:10.1039/D2SC03994J
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.cc2c5hbd
title: CCDC 2180023: Experimental Crystal Structure Determination

description: Related Article: Ruyan Zhao, Tong Zhu, Sasa Wang, Charlie Jarrett-Wilkins, Amin Morteza Najjarian, Alan J. Lough, Sjoerd Hoogland, Edward H. Sargent, Dwight S. Seferos|2022|Chemical Science|13|12144|doi:10.1039/D2SC03994J
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.ccy9c7t
title: CCDC 872936: Experimental Crystal Structure Determination

description: Related Article: Anand Yadav, Sarita Kumari, Preety Yadav, Arpan Hazra, Anindita Chakraborty, Prakash Kanoo|2022|Dalton Trans.|51|15496|doi:10.1039/D2DT02098J
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.ccy9c8v
title: CCDC 872937: Experimental Crystal Structure Determination

description: Related Article: Anand Yadav, Sarita Kumari, Preety Yadav, Arpan Hazra, Anindita Chakraborty, Prakash Kanoo|2022|Dalton Trans.|51|15496|doi:10.1039/D2DT02098J
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.cc2c5kkp
title: CCDC 2180092: Experimental Crystal Structure Determination

description: Related Article: José Carlos Guirado-Moreno, Lara González-Ceballos, Israel Carreira-Barral, Saturnino Ibeas, Miguel A. Fernández-Muiño, M. Teresa Sancho, José M. García, Saúl Vallejos|2023|Spectrochim.Acta,Part A|284|121820|doi:10.1016/j.saa.2022.121820
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.cc2c5z1l
title: CCDC 2180479: Experimental Crystal Structure Determination

description: Related Article: Sergey I. Troyanov|2023|Inorg.Chim.Acta|544|121240|doi:10.1016/j.ica.2022.121240
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.cc2c5z2m
title: CCDC 2180480: Experimental Crystal Structure Determination

description: Related Article: Sergey I. Troyanov|2023|Inorg.Chim.Acta|544|121240|doi:10.1016/j.ica.2022.121240
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.cc2c5z3n
title: CCDC 2180481: Experimental Crystal Structure Determination

description: Related Article: Sergey I. Troyanov|2023|Inorg.Chim.Acta|544|121240|doi:10.1016/j.ica.2022.121240
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.cc2c6k49
title: CCDC 2181040: Experimental Crystal Structure Determination

description: Related Article: Hai-Jun Li, Rui Feng, Xianghui Shi, Junnian Wei, Zhenfeng Xi|2022|Dalton Trans.|51|15696|doi:10.1039/D2DT02650C
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.cc2c6k5b
title: CCDC 2181041: Experimental Crystal Structure Determination

description: Related Article: Hai-Jun Li, Rui Feng, Xianghui Shi, Junnian Wei, Zhenfeng Xi|2022|Dalton Trans.|51|15696|doi:10.1039/D2DT02650C
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: 10.6084/m9.figshare.20318067
title: Taxonomic estimates of climbing plants in India: how many species are out there?

description: We present the first-ever attempt to estimate the taxonomic diversity of climbing plants in India, following the recent APG IV classification. We used more than 100 published and unpublished sources spanning more than a century to compile the extensive list of climbers. Our study revealed that the climbing plants in India are phylogenetically diverse, representing 2624 species radiated across 585 genera and 104 spermatophyte plant families. About two-thirds of the total climbers enumerated from the present study are lianas. Scramblers, in particular, are exclusively woody, unlike twiners and tendril climbers. The diversity of climbing mechanisms varied significantly across the 104 climber families. We also present the revised list of global climbing plant families, adding significantly to the existing dataset. We found that the climber diversity data collected exclusively from the ecological inventories or the taxonomic records underestimated the actual climber diversity by a significant margin. We discuss some of the key constraints in developing a climber database and recommend a replicable model, integrating ecology and taxonomy-based enumerations for the most precise estimate of climber diversity within a defined geographical area. The baseline data generated through our research will find applications in many ecological, taxonomic, phylogenetic, and evolutionary studies on climbers.
DOI: 10.6084/m9.figshare.20318067.v1
title: Taxonomic estimates of climbing plants in India: how many species are out there?

description: We present the first-ever attempt to estimate the taxonomic diversity of climbing plants in India, following the recent APG IV classification. We used more than 100 published and unpublished sources spanning more than a century to compile the extensive list of climbers. Our study revealed that the climbing plants in India are phylogenetically diverse, representing 2624 species radiated across 585 genera and 104 spermatophyte plant families. About two-thirds of the total climbers enumerated from the present study are lianas. Scramblers, in particular, are exclusively woody, unlike twiners and tendril climbers. The diversity of climbing mechanisms varied significantly across the 104 climber families. We also present the revised list of global climbing plant families, adding significantly to the existing dataset. We found that the climber diversity data collected exclusively from the ecological inventories or the taxonomic records underestimated the actual climber diversity by a significant margin. We discuss some of the key constraints in developing a climber database and recommend a replicable model, integrating ecology and taxonomy-based enumerations for the most precise estimate of climber diversity within a defined geographical area. The baseline data generated through our research will find applications in many ecological, taxonomic, phylogenetic, and evolutionary studies on climbers.
DOI: 10.34740/kaggle/dsv/4403111
title: Ukraine Conflict Twitter Dataset (54.05M tweets)
DOI: 10.3886/e165721v1-130167
title: Data and Code for: Human Capital Depreciation and Returns to Experience

description: Human capital can depreciate if skills are unused. But estimating human capital depreciation is challenging, as worker skills are difficult to measure and less productive workers are more likely to spend time in non-employment. We overcome these challenges with new administrative data on teachers' assignments and their students' outcomes, and quasi-random variation from the teacher assignment process in Greece. We find significant losses to output, as a one-year increase in time without formal employment lowers students' test scores by 0.05 standard deviations. Using a simple production model, we estimate a skill depreciation rate of 4.3% and experience returns of 6.8%.
description: All teachers and students in public high schools in Greece between 2003 and 2011.
DOI: 10.6084/m9.figshare.16529184
title: Data for the study: Effects of 105 biological, socioeconomic, behavioural, and environmental factors on the risk of SARS-CoV-2 infection and a severe course of Covid-19: A prospective longitudinal study

description: Data for the study: "<strong>Effects of 105 biological, socioeconomic, behavioural, and environmental factors on the risk of SARS-CoV-2 infection and a severe course of Covid-19: A prospective longitudinal study"</strong> <br> <br> <strong>Biology Methods & Protocols 2022</strong>
DOI: 10.6084/m9.figshare.16529184.v1
title: Data for the study: Effects of 105 biological, socioeconomic, behavioural, and environmental factors on the risk of SARS-CoV-2 infection and a severe course of Covid-19: A prospective longitudinal study

description: Data for the study: "<strong>Effects of 105 biological, socioeconomic, behavioural, and environmental factors on the risk of SARS-CoV-2 infection and a severe course of Covid-19: A prospective longitudinal study"</strong> <br> <br> <strong>Biology Methods & Protocols 2022</strong>
DOI: 10.15156/bio/sh1926972.08fu
title: SH1926972.08FU

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/sh1926973.08fu
title: SH1926973.08FU

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/sh1926974.08fu
title: SH1926974.08FU

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/sh1926975.08fu
title: SH1926975.08FU

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/sh1926976.08fu
title: SH1926976.08FU

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/sh1926977.08fu
title: SH1926977.08FU

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/sh1926978.08fu
title: SH1926978.08FU

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.