cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.16608481
title: Variation of crustal thickness in central west Junggar orogenic belt: insight into its Late Palaeozoic tectonic evolution

description: The variation of crustal thickness of an orogenic belt through time will provide critical insights into the switch of tectonic setting. The geochemistry of subduction and collision-related magmatism is indicative of the crustal thickness. Late Palaeozoic magmatic products are prevalent in central west Junggar orogenic belt (C-WJOB), and can be employed to determine the temporal changes in crustal thickness as well as the tectonic evolution. Here, we constrain the crustal thickness and discuss the tectonic evolution of C-WJOB through by integrating Sr/Y and La/Yb ratios, zircon U-Pb ages and Hf isotopic compositions of the Late Palaeozoic igneous rocks. Our results show that the crust of C-WJOB was much thinner (20–25 km) than normal continental crust (average at 33 km) in the Early Carboniferous, and began to thicken from 350 Ma to 330 Ma at a slow rate. Crustal thickening was caused by the addition of subduction-related magma sourced from depleted-mantle but with contributions of subducted sediments. The crust started to thicken significantly at ~330 Ma and reached to a maximum thickness of ~40 km between 322 Ma and 310 Ma. The timing of maximum thickness corresponded with the emplacement of calc-alkaline to high-K calc-alkaline I-type dioritic magmas as well as adakitic magma. These magmas were generated by melting of both depleted mantle and juvenile lower crust, which was probably triggered by underplated mantle-derived basaltic magma. Lastly, crustal thinning happened between 310 Ma and 295 Ma due to regional post-collisional extension, although voluminous granitic magmatism occurred. The granitic magmas were formed by remelting of the juvenile lower crust, with a few contribution of mantle material. This study on the variation of crustal thickness in the Late Palaeozoic C-WJOB provides insight into how integrated geochemical and isotopic data can elucidate the complex histories of orogenic belts.
DOI: 10.6084/m9.figshare.16608481.v2
title: Variation of crustal thickness in central west Junggar orogenic belt: insight into its Late Palaeozoic tectonic evolution

description: The variation of crustal thickness of an orogenic belt through time will provide critical insights into the switch of tectonic setting. The geochemistry of subduction and collision-related magmatism is indicative of the crustal thickness. Late Palaeozoic magmatic products are prevalent in central west Junggar orogenic belt (C-WJOB), and can be employed to determine the temporal changes in crustal thickness as well as the tectonic evolution. Here, we constrain the crustal thickness and discuss the tectonic evolution of C-WJOB through by integrating Sr/Y and La/Yb ratios, zircon U-Pb ages and Hf isotopic compositions of the Late Palaeozoic igneous rocks. Our results show that the crust of C-WJOB was much thinner (20–25 km) than normal continental crust (average at 33 km) in the Early Carboniferous, and began to thicken from 350 Ma to 330 Ma at a slow rate. Crustal thickening was caused by the addition of subduction-related magma sourced from depleted-mantle but with contributions of subducted sediments. The crust started to thicken significantly at ~330 Ma and reached to a maximum thickness of ~40 km between 322 Ma and 310 Ma. The timing of maximum thickness corresponded with the emplacement of calc-alkaline to high-K calc-alkaline I-type dioritic magmas as well as adakitic magma. These magmas were generated by melting of both depleted mantle and juvenile lower crust, which was probably triggered by underplated mantle-derived basaltic magma. Lastly, crustal thinning happened between 310 Ma and 295 Ma due to regional post-collisional extension, although voluminous granitic magmatism occurred. The granitic magmas were formed by remelting of the juvenile lower crust, with a few contribution of mantle material. This study on the variation of crustal thickness in the Late Palaeozoic C-WJOB provides insight into how integrated geochemical and isotopic data can elucidate the complex histories of orogenic belts.
DOI: 10.6084/m9.figshare.16608481.v1
title: Variation of crustal thickness in central west Junggar orogenic belt: insight into its Late Palaeozoic tectonic evolution

description: The variation of crustal thickness of an orogenic belt through time will provide critical insights into the switch of tectonic setting. The geochemistry of subduction and collision-related magmatism is indicative of the crustal thickness. Late Palaeozoic magmatic products are prevalent in central west Junggar orogenic belt (C-WJOB), and can be employed to determine the temporal changes in crustal thickness as well as the tectonic evolution. Here, we constrain the crustal thickness and discuss the tectonic evolution of C-WJOB through by integrating Sr/Y and La/Yb ratios, zircon U-Pb ages and Hf isotopic compositions of the Late Palaeozoic igneous rocks. Our results show that the crust of C-WJOB was much thinner (20–25 km) than normal continental crust (average at 33 km) in the Early Carboniferous, and began to thicken from 350 Ma to 330 Ma at a slow rate. Crustal thickening was caused by the addition of subduction-related magma sourced from depleted-mantle but with contributions of subducted sediments. The crust started to thicken significantly at ~330 Ma and reached to a maximum thickness of ~40 km between 322 Ma and 310 Ma. The timing of maximum thickness corresponded with the emplacement of calc-alkaline to high-K calc-alkaline I-type dioritic magmas as well as adakitic magma. These magmas were generated by melting of both depleted mantle and juvenile lower crust, which was probably triggered by underplated mantle-derived basaltic magma. Lastly, crustal thinning happened between 310 Ma and 295 Ma due to regional post-collisional extension, although voluminous granitic magmatism occurred. The granitic magmas were formed by remelting of the juvenile lower crust, with a few contribution of mantle material. This study on the variation of crustal thickness in the Late Palaeozoic C-WJOB provides insight into how integrated geochemical and isotopic data can elucidate the complex histories of orogenic belts.
DOI: 10.5281/zenodo.10672677
title: IODP Expedition 393 Visual core description

description: Descriptions of samples, generally at the section half and smear slide or thin section scale, were performed by shipboard scientists and recorded in the JRSO description software. Descriptive data for both macroscopic and microscopic examination were collected in a Microscoft Excel workbook by hole. A zip file of the entire expedition's observations is also available.
DOI: 10.5281/zenodo.10672678
title: IODP Expedition 393 Visual core description

description: Descriptions of samples, generally at the section half and smear slide or thin section scale, were performed by shipboard scientists and recorded in the JRSO description software. Descriptive data for both macroscopic and microscopic examination were collected in a Microscoft Excel workbook by hole. A zip file of the entire expedition's observations is also available.
DOI: 10.6084/m9.figshare.11889918
title: Two Co(II)-based coordination polymers: structural diversity and treatment effect on the cardiac arrest induced by anesthesia by regulating <i>Sirt1</i> expression

description: In the current study, two new Co(II)-containing coordination polymers (CPs) with the chemical formulae of {[Co(dimb)<sub>2</sub>(ndc)<sub>3</sub>]·2DMF}<sub>n</sub> (<b>1</b>) and {[Co<sub>2</sub>((R)-CBA)<sub>2</sub>(dimb)<sub>2</sub>](H<sub>2</sub>O)}<sub>n</sub> (<b>2</b>) have been successfully prepared by reaction of the N-donor ligand 1,3-di(1H-imidazol-1-yl)benzene (dimb) with the Co(NO<sub>3</sub>)<sub>2</sub>·6H<sub>2</sub>O and the different carboxylate ligands (1,4-naphthalenedicarboxylic acid (H<sub>2</sub>ndc) for <b>1</b> and 4-(1-carboxyethoxy)benzoic acid (H2CBA ) for <b>2</b>). Furthermore, the treatment effect of compounds <b>1</b> and <b>2</b> on the cardiac arrest induced by anesthesia was evaluated in the biological functional study. Firstly, the cardiac arrest-cardiopulmonary resuscitation animal model was constructed and compounds <b>1</b> and <b>2</b> were given for treatment at serious concentrations. The content of cardiac troponin T and B brain natriuretic peptide was measured with ELISA detection kit, and the RT-PCR was performed to detect the relative expression level of the <i>Sirt1</i> in the rat myocardial tissue after compounds treatment.
DOI: 10.6084/m9.figshare.11889918.v1
title: Two Co(II)-based coordination polymers: structural diversity and treatment effect on the cardiac arrest induced by anesthesia by regulating <i>Sirt1</i> expression

description: In the current study, two new Co(II)-containing coordination polymers (CPs) with the chemical formulae of {[Co(dimb)<sub>2</sub>(ndc)<sub>3</sub>]·2DMF}<sub>n</sub> (<b>1</b>) and {[Co<sub>2</sub>((R)-CBA)<sub>2</sub>(dimb)<sub>2</sub>](H<sub>2</sub>O)}<sub>n</sub> (<b>2</b>) have been successfully prepared by reaction of the N-donor ligand 1,3-di(1H-imidazol-1-yl)benzene (dimb) with the Co(NO<sub>3</sub>)<sub>2</sub>·6H<sub>2</sub>O and the different carboxylate ligands (1,4-naphthalenedicarboxylic acid (H<sub>2</sub>ndc) for <b>1</b> and 4-(1-carboxyethoxy)benzoic acid (H2CBA ) for <b>2</b>). Furthermore, the treatment effect of compounds <b>1</b> and <b>2</b> on the cardiac arrest induced by anesthesia was evaluated in the biological functional study. Firstly, the cardiac arrest-cardiopulmonary resuscitation animal model was constructed and compounds <b>1</b> and <b>2</b> were given for treatment at serious concentrations. The content of cardiac troponin T and B brain natriuretic peptide was measured with ELISA detection kit, and the RT-PCR was performed to detect the relative expression level of the <i>Sirt1</i> in the rat myocardial tissue after compounds treatment.
DOI: 10.5281/zenodo.10672675
title: IODP Expedition 393 Micropaleontology

description: Paleontological data were collected using microscopes and recorded in the JRSO description software. All data for a species group (e.g., diatoms or nannofossils) were collected in a Microsoft Excel worksheet by hole. A zip file of the entire expedition's observations is also available.
DOI: 10.5281/zenodo.10672676
title: IODP Expedition 393 Micropaleontology

description: Paleontological data were collected using microscopes and recorded in the JRSO description software. All data for a species group (e.g., diatoms or nannofossils) were collected in a Microsoft Excel worksheet by hole. A zip file of the entire expedition's observations is also available.
DOI: 10.6084/m9.figshare.17132832
title: Additional file 10 of Genome-wide identification of PME genes, evolution and expression analyses in soybean (Glycine max L.)

description: Additional file 10: Table S10. One-to-one orthologous relationships between the PME gene members in Glycine max and the other six species.
DOI: 10.6084/m9.figshare.17132832.v1
title: Additional file 10 of Genome-wide identification of PME genes, evolution and expression analyses in soybean (Glycine max L.)

description: Additional file 10: Table S10. One-to-one orthologous relationships between the PME gene members in Glycine max and the other six species.
DOI: 10.6084/m9.figshare.17132835
title: Additional file 11 of Genome-wide identification of PME genes, evolution and expression analyses in soybean (Glycine max L.)

description: Additional file 11: Table S11. Non-redundant GmPME gene IDs associated with the syntenic relationships among soybean and the other six species.
DOI: 10.6084/m9.figshare.19395756
title: Additional file 8 of Urinary metabolomics reveals the biological characteristics of early pregnancy in pigs

description: Additional file 8. Supplementary Figures (Figure S1 to S7).
DOI: 10.6084/m9.figshare.17132835.v1
title: Additional file 11 of Genome-wide identification of PME genes, evolution and expression analyses in soybean (Glycine max L.)

description: Additional file 11: Table S11. Non-redundant GmPME gene IDs associated with the syntenic relationships among soybean and the other six species.
DOI: 10.6084/m9.figshare.17132838
title: Additional file 12 of Genome-wide identification of PME genes, evolution and expression analyses in soybean (Glycine max L.)

description: Additional file 12: Table S12.Cis-element analysis of GmPME gene promoters.
DOI: 10.6084/m9.figshare.19395756.v1
title: Additional file 8 of Urinary metabolomics reveals the biological characteristics of early pregnancy in pigs

description: Additional file 8. Supplementary Figures (Figure S1 to S7).
DOI: 10.6084/m9.figshare.17132838.v1
title: Additional file 12 of Genome-wide identification of PME genes, evolution and expression analyses in soybean (Glycine max L.)

description: Additional file 12: Table S12.Cis-element analysis of GmPME gene promoters.
DOI: 10.6084/m9.figshare.17132841
title: Additional file 13 of Genome-wide identification of PME genes, evolution and expression analyses in soybean (Glycine max L.)

description: Additional file 13: Table S13. Expression profiles of GmPME genes in multiple tissues on Phytozome.
DOI: 10.6084/m9.figshare.17132830
title: Additional file 1 of Tumor antigens and immune subtypes guided mRNA vaccine development for kidney renal clear cell carcinoma

description: Additional file 1: Figure S1. The workflow of the study. OE, overexpressed genes; APCs, antigen-presenting cells; TMB, tumor mutation burden; CNV, copy number alterations; DEGs, differentially expressed genes; RIS, renal cancer immune subtype. Figure S2. a, volcano plot; b, heatmap of overexpressed genes in normal and KIRC samples; c, overlapped genes identified through intersection; d-f, KEGG (d), Hallmark (e) and reactome (f) enrichment analysis of 572 genes after intersection of overexpressed and mutated genes. KEGG, Kyoto Encyclopedia of Genes and Genomes. Figure S3. a, cumulative distribution function curve; b, delta area of immune-related genes; c, principal component analysis; d, association of immune subtypes with G-score; e-f, Bar graph of copy number variation in RIS1 (e) and RIS2 (f). Figure S4. the differences of immune infiltration score among subtypes in immune cells. Figure S5. a-b, the differential enrichment fraction of immune cells in the above subgroups. RIS, renal cancer immune subtype; ns, not significant. * p &lt; 0.05, ** p &lt; 0.01, *** p &lt; 0.001 and **** p &lt; 0.0001. Figure S6. WGCNA module identification. a, sample clustering; b, scale-free fitting index of various soft threshold powers (β); c, the average connectivity; d, Dendrogram of all differentially expressed genes clustered based on a dissimilarity measure (1-TOM). e, number of genes in each module; f, difference distribution of feature vectors of each module in RIS1 and RIS2. RIS, renal cancer immune subtype; ns, not significant. * p &lt; 0.05, ** p &lt; 0.01, *** p &lt; 0.001 and **** p &lt; 0.0001. Figure S7. Identification of immune hub genes in KIRC. a, univariate Cox regression analysis of the 10 modules; b-d, Gene Ontology analysis of Blue (b), Yellow (c) and Green (d). Figure S8. a, risk score distribution; b, survival state distribution; c, prognosis of risk models; d, heatmap of RDX, IREB2, UBR1 and PIK3CA. Figure S9. a, heatmap of differentially expressed genes in immune subtypes; b-e, GO (b-d) and KEGG (e) enrichment of differentially expressed genes in immune subtypes. GO, gene ontology; KEGG, Kyoto Encyclopedia of Genes and Genomes. Figure S10. a, univariate Cox regression analysis; b-d, Lasso regression model; e, risk score distribution; f, survival state distribution; g, Survival curves of risk model; h, heatmap of genes in the risk model; i, risk score distribution between immune subtypes; j, Distribution of high and low risk group samples among subtypes; k, immune response inference based on SKCM. RIS, renal cancer immune subtype; SKCM, human skin cutaneous melanoma; CTLA-4, Cytotoxic T-Lymphocyte Associated Protein 4; PD-1, programmed cell death protein 1; nonR, non-responder; R, responder.
DOI: 10.6084/m9.figshare.17132830.v1
title: Additional file 1 of Tumor antigens and immune subtypes guided mRNA vaccine development for kidney renal clear cell carcinoma

description: Additional file 1: Figure S1. The workflow of the study. OE, overexpressed genes; APCs, antigen-presenting cells; TMB, tumor mutation burden; CNV, copy number alterations; DEGs, differentially expressed genes; RIS, renal cancer immune subtype. Figure S2. a, volcano plot; b, heatmap of overexpressed genes in normal and KIRC samples; c, overlapped genes identified through intersection; d-f, KEGG (d), Hallmark (e) and reactome (f) enrichment analysis of 572 genes after intersection of overexpressed and mutated genes. KEGG, Kyoto Encyclopedia of Genes and Genomes. Figure S3. a, cumulative distribution function curve; b, delta area of immune-related genes; c, principal component analysis; d, association of immune subtypes with G-score; e-f, Bar graph of copy number variation in RIS1 (e) and RIS2 (f). Figure S4. the differences of immune infiltration score among subtypes in immune cells. Figure S5. a-b, the differential enrichment fraction of immune cells in the above subgroups. RIS, renal cancer immune subtype; ns, not significant. * p &lt; 0.05, ** p &lt; 0.01, *** p &lt; 0.001 and **** p &lt; 0.0001. Figure S6. WGCNA module identification. a, sample clustering; b, scale-free fitting index of various soft threshold powers (β); c, the average connectivity; d, Dendrogram of all differentially expressed genes clustered based on a dissimilarity measure (1-TOM). e, number of genes in each module; f, difference distribution of feature vectors of each module in RIS1 and RIS2. RIS, renal cancer immune subtype; ns, not significant. * p &lt; 0.05, ** p &lt; 0.01, *** p &lt; 0.001 and **** p &lt; 0.0001. Figure S7. Identification of immune hub genes in KIRC. a, univariate Cox regression analysis of the 10 modules; b-d, Gene Ontology analysis of Blue (b), Yellow (c) and Green (d). Figure S8. a, risk score distribution; b, survival state distribution; c, prognosis of risk models; d, heatmap of RDX, IREB2, UBR1 and PIK3CA. Figure S9. a, heatmap of differentially expressed genes in immune subtypes; b-e, GO (b-d) and KEGG (e) enrichment of differentially expressed genes in immune subtypes. GO, gene ontology; KEGG, Kyoto Encyclopedia of Genes and Genomes. Figure S10. a, univariate Cox regression analysis; b-d, Lasso regression model; e, risk score distribution; f, survival state distribution; g, Survival curves of risk model; h, heatmap of genes in the risk model; i, risk score distribution between immune subtypes; j, Distribution of high and low risk group samples among subtypes; k, immune response inference based on SKCM. RIS, renal cancer immune subtype; SKCM, human skin cutaneous melanoma; CTLA-4, Cytotoxic T-Lymphocyte Associated Protein 4; PD-1, programmed cell death protein 1; nonR, non-responder; R, responder.
DOI: 10.6084/m9.figshare.17132841.v1
title: Additional file 13 of Genome-wide identification of PME genes, evolution and expression analyses in soybean (Glycine max L.)

description: Additional file 13: Table S13. Expression profiles of GmPME genes in multiple tissues on Phytozome.
DOI: 10.6084/m9.figshare.17132844
title: Additional file 14 of Genome-wide identification of PME genes, evolution and expression analyses in soybean (Glycine max L.)

description: Additional file 14: Table S14. Pairwise correlation coefficients between different expressed GmPME genes in various tissues.
DOI: 10.6084/m9.figshare.17132844.v1
title: Additional file 14 of Genome-wide identification of PME genes, evolution and expression analyses in soybean (Glycine max L.)

description: Additional file 14: Table S14. Pairwise correlation coefficients between different expressed GmPME genes in various tissues.
DOI: 10.6084/m9.figshare.17132847
title: Additional file 15 of Genome-wide identification of PME genes, evolution and expression analyses in soybean (Glycine max L.)

description: Additional file 15: Table S15. Expression profiles of GmPME genes in soybean flower buds from cytoplasmic male sterile line NJCMS1A and its maintainer NJCMS1B.
DOI: 10.6084/m9.figshare.17132847.v1
title: Additional file 15 of Genome-wide identification of PME genes, evolution and expression analyses in soybean (Glycine max L.)

description: Additional file 15: Table S15. Expression profiles of GmPME genes in soybean flower buds from cytoplasmic male sterile line NJCMS1A and its maintainer NJCMS1B.
DOI: 10.5281/zenodo.10672673
title: IODP Expedition 393 Inorganic carbon (coulometer)

description: Inorganic carbon (carbonate) is determined by coulometry, which uses a photodetection cell to measure carbon dioxide evolved during sample acidification. Report includes percent inorganic carbon and calcium carbonate.
DOI: 10.5281/zenodo.10672674
title: IODP Expedition 393 Inorganic carbon (coulometer)

description: Inorganic carbon (carbonate) is determined by coulometry, which uses a photodetection cell to measure carbon dioxide evolved during sample acidification. Report includes percent inorganic carbon and calcium carbonate.
DOI: 10.6084/m9.figshare.17132853
title: Additional file 17 of Genome-wide identification of PME genes, evolution and expression analyses in soybean (Glycine max L.)

description: Additional file 17: Table S16. Expression profiles of GmPME genes in soybean embryonic axes during seed germination.
DOI: 10.6084/m9.figshare.17132853.v1
title: Additional file 17 of Genome-wide identification of PME genes, evolution and expression analyses in soybean (Glycine max L.)

description: Additional file 17: Table S16. Expression profiles of GmPME genes in soybean embryonic axes during seed germination.
DOI: 10.6084/m9.figshare.17132859
title: Additional file 19 of Genome-wide identification of PME genes, evolution and expression analyses in soybean (Glycine max L.)

description: Additional file 19: Table S17. Sequences of the primers used in this study.
DOI: 10.6084/m9.figshare.17132859.v1
title: Additional file 19 of Genome-wide identification of PME genes, evolution and expression analyses in soybean (Glycine max L.)

description: Additional file 19: Table S17. Sequences of the primers used in this study.
DOI: 10.6084/m9.figshare.17132862
title: Additional file 1 of Genome-wide identification of PME genes, evolution and expression analyses in soybean (Glycine max L.)

description: Additional file 1: Table S1. The 127 identified GmPME genes in this study.
DOI: 10.6084/m9.figshare.17132862.v1
title: Additional file 1 of Genome-wide identification of PME genes, evolution and expression analyses in soybean (Glycine max L.)

description: Additional file 1: Table S1. The 127 identified GmPME genes in this study.
DOI: 10.6084/m9.figshare.17132865
title: Additional file 2 of Genome-wide identification of PME genes, evolution and expression analyses in soybean (Glycine max L.)

description: Additional file 2: Table S2. Coding sequences and protein sequences of the identified GmPME gene members.
DOI: 10.6084/m9.figshare.17132865.v1
title: Additional file 2 of Genome-wide identification of PME genes, evolution and expression analyses in soybean (Glycine max L.)

description: Additional file 2: Table S2. Coding sequences and protein sequences of the identified GmPME gene members.
DOI: 10.6084/m9.figshare.17132868
title: Additional file 3 of Genome-wide identification of PME genes, evolution and expression analyses in soybean (Glycine max L.)

description: Additional file 3: Table S3. The 66 AtPME genes in Arabidopsis.
DOI: 10.6084/m9.figshare.17132868.v1
title: Additional file 3 of Genome-wide identification of PME genes, evolution and expression analyses in soybean (Glycine max L.)

description: Additional file 3: Table S3. The 66 AtPME genes in Arabidopsis.
DOI: 10.6084/m9.figshare.17132871
title: Additional file 4 of Genome-wide identification of PME genes, evolution and expression analyses in soybean (Glycine max L.)

description: Additional file 4: Table S4. Analyses the motifs in soybean PME proteins from the MEME website.