cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.11805684
title: Additional file 3 of IRGS: an immune-related gene classifier for lung adenocarcinoma prognosis

description: Additional file 3: Table S2. Candidate immune-related genes matched with differentially expressed genes in the TCGA dataset.
DOI: 10.6084/m9.figshare.11805684.v1
title: Additional file 3 of IRGS: an immune-related gene classifier for lung adenocarcinoma prognosis

description: Additional file 3: Table S2. Candidate immune-related genes matched with differentially expressed genes in the TCGA dataset.
DOI: 10.6084/m9.figshare.11805690
title: Additional file 4 of IRGS: an immune-related gene classifier for lung adenocarcinoma prognosis

description: Additional file 4: Table S3. Univariate and multivariate analyses of candidate genes for IRGS model development.
DOI: 10.5517/ccdc.csd.cc28nd5j
title: CCDC 2104967: Experimental Crystal Structure Determination

description: Related Article: Yuan-He Li, Su-Lei Zhang, Yong Lu, Bo Xiao, Tian-Yu Sun, Qian-Qian Xu, Jia-Hua Chen, Zhen Yang|2023|Angew.Chem.,Int.Ed.|62|e202303075|doi:10.1002/anie.202303075
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.cc29xrzz
title: CCDC 2142812: Experimental Crystal Structure Determination

description: Related Article: Bin-Yuan Hu, Yun-Li Zhao, Ying-Jie He, Yan Qin, Xiao-Dong Luo|2023|Phytochemistry|217|113926|doi:10.1016/j.phytochem.2023.113926
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.cc29xs01
title: CCDC 2142813: Experimental Crystal Structure Determination

description: Related Article: Bin-Yuan Hu, Yun-Li Zhao, Ying-Jie He, Yan Qin, Xiao-Dong Luo|2023|Phytochemistry|217|113926|doi:10.1016/j.phytochem.2023.113926
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.11805690.v1
title: Additional file 4 of IRGS: an immune-related gene classifier for lung adenocarcinoma prognosis

description: Additional file 4: Table S3. Univariate and multivariate analyses of candidate genes for IRGS model development.
DOI: 10.5517/ccdc.csd.cc2flhsb
title: CCDC 2252112: Experimental Crystal Structure Determination

description: Related Article: Misaki Kitagawa, Yuma Nakagawa, Takato Ii, Ryo Nishimura, Masakazu Morimoto, Satoshi Yokojima, Shinichiro Nakamura, Kingo Uchida|2023|Cryst.Growth Des.|24|913|doi:10.1021/acs.cgd.3c00738
description: Related Article: Misaki Kitagawa|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2flhtc
title: CCDC 2252113: Experimental Crystal Structure Determination

description: Related Article: Misaki Kitagawa, Yuma Nakagawa, Takato Ii, Ryo Nishimura, Masakazu Morimoto, Satoshi Yokojima, Shinichiro Nakamura, Kingo Uchida|2023|Cryst.Growth Des.|24|913|doi:10.1021/acs.cgd.3c00738
description: Related Article: Misaki Kitagawa|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fzfjd
title: CCDC 2263574: Experimental Crystal Structure Determination

description: Related Article: Simon J. Coles, Simon Cooper, Wim T. Klooster, Laura J McCormick Mc Pherson, Andrew W. G. Platt|2023|Eur.J.Inorg.Chem.|26|e202300375|doi:10.1002/ejic.202300375
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.cc2g3k16
title: CCDC 2267527: Experimental Crystal Structure Determination

description: Related Article: Darya Klyamer, Alexandr Sukhikh, Dmitry Bonegardt, Pavel Krasnov, Pavel Popovetskiy, Tamara Basova|2023|Micromachines|14|1773|doi:10.3390/mi14091773
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.cc2g3pmx
title: CCDC 2267669: Experimental Crystal Structure Determination

description: Related Article: Ahmadreza Nezamzadeh, Somnath Bhattacharya, Jianfeng Zhu, Jens Müller|2023|Organometallics|42|2946|doi:10.1021/acs.organomet.3c00351
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.cc2g3pny
title: CCDC 2267670: Experimental Crystal Structure Determination

description: Related Article: Ahmadreza Nezamzadeh, Somnath Bhattacharya, Jianfeng Zhu, Jens Müller|2023|Organometallics|42|2946|doi:10.1021/acs.organomet.3c00351
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.cc2ffhyb
title: CCDC 2247312: Experimental Crystal Structure Determination

description: Related Article: Chenhui Hu, Junjie Liu, Jiale Qu, Jinghui Hu, Xiangzhan Jiang|2024|J.Saudi Chem.Soc.|28|101789|doi:10.1016/j.jscs.2023.101789
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.cc2ffhzc
title: CCDC 2247313: Experimental Crystal Structure Determination

description: Related Article: Chenhui Hu, Junjie Liu, Jiale Qu, Jinghui Hu, Xiangzhan Jiang|2024|J.Saudi Chem.Soc.|28|101789|doi:10.1016/j.jscs.2023.101789
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.11805717
title: Additional file 8 of IRGS: an immune-related gene classifier for lung adenocarcinoma prognosis

description: Additional file 8: Table S5. Significantly enriched immune pathways of gene in the IRGS model.
DOI: 10.6084/m9.figshare.11805717.v1
title: Additional file 8 of IRGS: an immune-related gene classifier for lung adenocarcinoma prognosis

description: Additional file 8: Table S5. Significantly enriched immune pathways of gene in the IRGS model.
DOI: 10.6084/m9.figshare.11805723
title: Additional file 9 of IRGS: an immune-related gene classifier for lung adenocarcinoma prognosis

description: Additional file 9: Table S6. Clinical information of TCGA LUAD data. Retrieved from the GDC website (TCGA-LUAD: https://portal.gdc.cancer.gov/projects/TCGA-LUAD).
DOI: 10.6084/m9.figshare.11805723.v1
title: Additional file 9 of IRGS: an immune-related gene classifier for lung adenocarcinoma prognosis

description: Additional file 9: Table S6. Clinical information of TCGA LUAD data. Retrieved from the GDC website (TCGA-LUAD: https://portal.gdc.cancer.gov/projects/TCGA-LUAD).
DOI: 10.6084/m9.figshare.11805735
title: Additional file 10 of Transcriptome analysis reveals insight into molecular hydrogen-induced cadmium tolerance in alfalfa: the prominent role of sulfur and (homo)glutathione metabolism

description: Additional file 10: Table S7. Transcripts of gene in Fig. 3 significantly detected by RNA-Seq and its validation by RT-qPCR.
DOI: 10.6084/m9.figshare.11805735.v1
title: Additional file 10 of Transcriptome analysis reveals insight into molecular hydrogen-induced cadmium tolerance in alfalfa: the prominent role of sulfur and (homo)glutathione metabolism

description: Additional file 10: Table S7. Transcripts of gene in Fig. 3 significantly detected by RNA-Seq and its validation by RT-qPCR.
DOI: 10.6084/m9.figshare.11805771
title: Additional file 3 of Transcriptome analysis reveals insight into molecular hydrogen-induced cadmium tolerance in alfalfa: the prominent role of sulfur and (homo)glutathione metabolism

description: Additional file 3: Table S2. List of differentially expressed genes in Con→Cd vs Con→Con groups.
DOI: 10.6084/m9.figshare.11805771.v1
title: Additional file 3 of Transcriptome analysis reveals insight into molecular hydrogen-induced cadmium tolerance in alfalfa: the prominent role of sulfur and (homo)glutathione metabolism

description: Additional file 3: Table S2. List of differentially expressed genes in Con→Cd vs Con→Con groups.
DOI: 10.6084/m9.figshare.11805774
title: Additional file 4 of Transcriptome analysis reveals insight into molecular hydrogen-induced cadmium tolerance in alfalfa: the prominent role of sulfur and (homo)glutathione metabolism

description: Additional file 4: Table S3. List of differentially expressed genes in HRW → Cd vs Con→Con groups.
DOI: 10.6084/m9.figshare.11805774.v1
title: Additional file 4 of Transcriptome analysis reveals insight into molecular hydrogen-induced cadmium tolerance in alfalfa: the prominent role of sulfur and (homo)glutathione metabolism

description: Additional file 4: Table S3. List of differentially expressed genes in HRW → Cd vs Con→Con groups.
DOI: 10.6084/m9.figshare.11805777
title: Additional file 5 of Transcriptome analysis reveals insight into molecular hydrogen-induced cadmium tolerance in alfalfa: the prominent role of sulfur and (homo)glutathione metabolism

description: Additional file 5: Table S4. List of differentially expressed genes in HRW → Con vs Con→Con groups.
DOI: 10.6084/m9.figshare.11805777.v1
title: Additional file 5 of Transcriptome analysis reveals insight into molecular hydrogen-induced cadmium tolerance in alfalfa: the prominent role of sulfur and (homo)glutathione metabolism

description: Additional file 5: Table S4. List of differentially expressed genes in HRW → Con vs Con→Con groups.
DOI: 10.6084/m9.figshare.11805786
title: Additional file 8 of Transcriptome analysis reveals insight into molecular hydrogen-induced cadmium tolerance in alfalfa: the prominent role of sulfur and (homo)glutathione metabolism

description: Additional file 8: Table S5. Biological Process analysis of the 1968 DEGs.
DOI: 10.6084/m9.figshare.11805786.v1
title: Additional file 8 of Transcriptome analysis reveals insight into molecular hydrogen-induced cadmium tolerance in alfalfa: the prominent role of sulfur and (homo)glutathione metabolism

description: Additional file 8: Table S5. Biological Process analysis of the 1968 DEGs.
DOI: 10.6084/m9.figshare.11805789
title: Additional file 9 of Transcriptome analysis reveals insight into molecular hydrogen-induced cadmium tolerance in alfalfa: the prominent role of sulfur and (homo)glutathione metabolism

description: Additional file 9: Table S6. Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis of the 1968 DEGs.
DOI: 10.6084/m9.figshare.11805789.v1
title: Additional file 9 of Transcriptome analysis reveals insight into molecular hydrogen-induced cadmium tolerance in alfalfa: the prominent role of sulfur and (homo)glutathione metabolism

description: Additional file 9: Table S6. Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis of the 1968 DEGs.
DOI: 10.6084/m9.figshare.12854396.v1
title: On maximum likelihood estimation of competing risks using the cause-specific semi-parametric Cox model with time-varying covariates – An application to credit risk

description: Credit-granting institutions need to estimate the probability of loan default, which represents the chance a customer fails to make repayments as promised. Critically this estimation is intertwined with the competing risk a customer fully repays their loan while also having key predictive drivers with values that change over time. A conventional model in this setting is a competing risks Cox Model with time-varying covariates. However partial likelihood estimation of this model has two shortcomings: (1) the baseline hazard is not estimated, so calculating probabilities requires a further estimation step; and (2) a covariance matrix for both regression coefficients and the baseline hazard is not produced. This paper caters for these shortcomings by devising a maximum likelihood technique to jointly estimate regression coefficients and the cause-specific baseline hazards using constrained optimisation to ensure the latter’s non-negativity. We show via simulation our technique produces regression coefficients estimates with lower bias in small samples with heavy censoring. When applied to a real-world credit risk dataset consisting of home loan data our Maximum Likelihood approach produces a smoother estimate of the cause-specific baseline hazards for default and redemption than those obtained using the Partial Likelihood and Breslow approach. This provides better clarity of the shape of these functions through both a less volatile central estimate as well as quantifying the error of this central estimate. We implement our method in R.
DOI: 10.6084/m9.figshare.11805837
title: Geochronology, geochemistry, and Sr–Nd–Hf isotopes of the Late Permian–Early Triassic granitoids in Eastern Kunlun Orogen, Northwest China: petrogenesis and implications for geodynamic setting

description: The Eastern Kunlun Orogenic Belt (EKOB) in Northwest China, is an ideal area for understanding the tectonic evolution of the Palaeo-Tethys Ocean. The EKOB is marked by widespread Palaeozoic to Early Mesozoic magmatism. However, the Late Permian–Early Mesozoic tectonic evolution of the Palaeo-Tethys Ocean tectonic regime is poorly understood. Here, we report new zircon LA-ICP-MS U–Pb dating and geochemical analyses of Late Permian–Early Triassic intrusive rocks in the Xiangyanggouxi and Dageledong areas in the EKOB, Northwest China, to discuss their petrogenesis and geodynamic setting and reconstruct the tectonic evolution of Palaeo-Tethys oceanic tectonic regime. Zircon U-Pb dating results indicate that these granitoids crystallized during ca. 256–248 Ma, i.e. the Late Permian to Early Triassic. These granitoids are mainly comprised of granodiorites and monzonitic granites that possess high concentrations of SiO<sub>2</sub> (66.81–75.98 wt.%), K<sub>2</sub>O+Na<sub>2</sub>O (6.21–7.92 wt.%), and low contents of MgO, CaO, Cr, Ni, and Mg<sup>#</sup> (&lt;0.44). They are classified as medium- to high-K calc-alkaline and metaluminous I-type granitoids. These granitoids are rich in light rare earth elements (LREEs) and large ion lithophile elements (LILEs) and are depleted in heavy rare earth elements (HREEs) and high field strength elements (HFSEs) with arc affinity. In addition, combined with the ε<sub>Hf</sub>(t) values of −2.4 to +2.4 with two-stage model ages ranging from 1409 Ma to 1027 Ma, and the ε<sub>Nd</sub>(t) values from −3.73 to −2.95, it is suggested that the primary magma of these granitoids was derived from the partial melting of the Late Meso–Proterozoic mafic lower crust. These findings, combined with spatio-temporal distributions of regional magmatism, reveal that the Late Permian and Early Triassic granitoids formed in a continental magmatic arc setting related to the northward subduction of the Palaeo-Tethys Ocean plate beneath the EKOB-Qaidam terrane.
DOI: 10.6084/m9.figshare.19670135
title: Additional file 1 of AQP9 and ZAP70 as immune-related prognostic biomarkers suppress proliferation, migration and invasion of laryngeal cancer cells

description: Additional file 1: Supplementary Table 1. Clinical information of laryngeal cancer patients.
DOI: 10.6084/m9.figshare.19670135.v1
title: Additional file 1 of AQP9 and ZAP70 as immune-related prognostic biomarkers suppress proliferation, migration and invasion of laryngeal cancer cells

description: Additional file 1: Supplementary Table 1. Clinical information of laryngeal cancer patients.
DOI: 10.6084/m9.figshare.11805837.v1
title: Geochronology, geochemistry, and Sr–Nd–Hf isotopes of the Late Permian–Early Triassic granitoids in Eastern Kunlun Orogen, Northwest China: petrogenesis and implications for geodynamic setting

description: The Eastern Kunlun Orogenic Belt (EKOB) in Northwest China, is an ideal area for understanding the tectonic evolution of the Palaeo-Tethys Ocean. The EKOB is marked by widespread Palaeozoic to Early Mesozoic magmatism. However, the Late Permian–Early Mesozoic tectonic evolution of the Palaeo-Tethys Ocean tectonic regime is poorly understood. Here, we report new zircon LA-ICP-MS U–Pb dating and geochemical analyses of Late Permian–Early Triassic intrusive rocks in the Xiangyanggouxi and Dageledong areas in the EKOB, Northwest China, to discuss their petrogenesis and geodynamic setting and reconstruct the tectonic evolution of Palaeo-Tethys oceanic tectonic regime. Zircon U-Pb dating results indicate that these granitoids crystallized during ca. 256–248 Ma, i.e. the Late Permian to Early Triassic. These granitoids are mainly comprised of granodiorites and monzonitic granites that possess high concentrations of SiO<sub>2</sub> (66.81–75.98 wt.%), K<sub>2</sub>O+Na<sub>2</sub>O (6.21–7.92 wt.%), and low contents of MgO, CaO, Cr, Ni, and Mg<sup>#</sup> (&lt;0.44). They are classified as medium- to high-K calc-alkaline and metaluminous I-type granitoids. These granitoids are rich in light rare earth elements (LREEs) and large ion lithophile elements (LILEs) and are depleted in heavy rare earth elements (HREEs) and high field strength elements (HFSEs) with arc affinity. In addition, combined with the ε<sub>Hf</sub>(t) values of −2.4 to +2.4 with two-stage model ages ranging from 1409 Ma to 1027 Ma, and the ε<sub>Nd</sub>(t) values from −3.73 to −2.95, it is suggested that the primary magma of these granitoids was derived from the partial melting of the Late Meso–Proterozoic mafic lower crust. These findings, combined with spatio-temporal distributions of regional magmatism, reveal that the Late Permian and Early Triassic granitoids formed in a continental magmatic arc setting related to the northward subduction of the Palaeo-Tethys Ocean plate beneath the EKOB-Qaidam terrane.
DOI: 10.6084/m9.figshare.19670144.v1
title: Additional file 2 of AQP9 and ZAP70 as immune-related prognostic biomarkers suppress proliferation, migration and invasion of laryngeal cancer cells

description: Additional file 2: Supplementary Table 2. Differentially expressed IRGs in laryngeal cancer by DESeq2.
DOI: 10.6084/m9.figshare.19670147
title: Additional file 3 of AQP9 and ZAP70 as immune-related prognostic biomarkers suppress proliferation, migration and invasion of laryngeal cancer cells

description: Additional file 3: Supplementary Table 3. Differentially expressed IRGs in laryngeal cancer by edgeR.
DOI: 10.6084/m9.figshare.19670147.v1
title: Additional file 3 of AQP9 and ZAP70 as immune-related prognostic biomarkers suppress proliferation, migration and invasion of laryngeal cancer cells

description: Additional file 3: Supplementary Table 3. Differentially expressed IRGs in laryngeal cancer by edgeR.
DOI: 10.6084/m9.figshare.19670144
title: Additional file 2 of AQP9 and ZAP70 as immune-related prognostic biomarkers suppress proliferation, migration and invasion of laryngeal cancer cells

description: Additional file 2: Supplementary Table 2. Differentially expressed IRGs in laryngeal cancer by DESeq2.
DOI: 10.6084/m9.figshare.12854423
title: Comparative transcriptome analyses of a table grape ‘Summer Black’ and its early-ripening mutant ‘Tiangong Moyu’ identify candidate genes potentially involved in berry development and ripening

description: Early ripening is an important desirable attribute for fruit crops. ‘Tiangong Moyu’, a bud mutant of the grape cultivar ‘Summer Black’ (<i>Vitis vinifera</i> L<i>.</i>× <i>Vitis labrusca</i> L<i>.</i>), ripens nearly 10 days earlier and shows earlier increase in fresh weight, sugar accumulation, and color change and faster decrease in titratable acid than ‘Summer Black’. To identify the genes controlling early fruit development and ripening in ‘Tiangong Moyu’, RNA-Seq profiles of the two cultivars were compared at five different berry developmental stages. Based on GO annotation and KEGG pathway enrichment analysis, the differentially expressed genes were clustered into various functional groups, including plant hormone signal transduction, transcription factors, anthocyanin-associated biosynthesis pathway, phenylpropanoid biosynthesis, plant–pathogen associated and plant–pathogen interaction, and ripening-related protein genes. Our results provided a global transcriptional profile of candidate genes involved in regulating berry development and ripening and a genetic basis for the understanding of grape berry ripening.