cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13545701.v1
title: Additional file 3 of Genome-wide association study of yield and related traits in common wheat under salt-stress conditions

description: Additional file 3: Table S3. Genetic diversity in each chromosome was calculated according to genotypic data of Wheat660K SNPs chip in the 191 wheat accessions under low and high salinity treatments.
DOI: 10.6084/m9.figshare.13545713
title: Additional file 7 of Genome-wide association study of yield and related traits in common wheat under salt-stress conditions

description: Additional file 7: Table S7. SNPs loci significantly associated with yield-related traits identified in the present and previous studies. PH, plant height; SN, spike number; SL, spike length; KPS, kernels per spike; GN, grain number; TKW, thousand kernels weight; YPP, yield per plot; BM, biological mass.
DOI: 10.25582/data.2023-02.2750473/2314962
title: Data for EMSL Project 50407 from February 2023
DOI: 10.25582/data.2023-02.2750196/2314963
title: Data for EMSL Project 50407 from February 2023
DOI: 10.6084/m9.figshare.13545710
title: Additional file 6 of Genome-wide association study of yield and related traits in common wheat under salt-stress conditions

description: Additional file 6: Table S6. Favored alleles and genetic effects of 11 loci associated with traits under low and high salinity treatments. PH, plant height; SN, spike number; SL, spike length; KPS, kernels per spike; GN, grain number; TKW, thousand kernels weight; YPP, yield per plot; BM, biological mass. LS, low salinity treatment; HS, high salinity treatment. “ns” represents no calculation for no significantly difference of traits between alleles.
DOI: 10.25582/data.2023-02.2750528/2314964
title: Data for EMSL Project 50407 from February 2023
DOI: 10.6084/m9.figshare.13545710.v1
title: Additional file 6 of Genome-wide association study of yield and related traits in common wheat under salt-stress conditions

description: Additional file 6: Table S6. Favored alleles and genetic effects of 11 loci associated with traits under low and high salinity treatments. PH, plant height; SN, spike number; SL, spike length; KPS, kernels per spike; GN, grain number; TKW, thousand kernels weight; YPP, yield per plot; BM, biological mass. LS, low salinity treatment; HS, high salinity treatment. “ns” represents no calculation for no significantly difference of traits between alleles.
DOI: 10.25582/data.2023-02.2750572/2314965
title: Data for EMSL Project 50407 from February 2023
DOI: 10.25582/data.2023-02.2750219/2314966
title: Data for EMSL Project 50407 from February 2023
DOI: 10.6084/m9.figshare.13545713.v1
title: Additional file 7 of Genome-wide association study of yield and related traits in common wheat under salt-stress conditions

description: Additional file 7: Table S7. SNPs loci significantly associated with yield-related traits identified in the present and previous studies. PH, plant height; SN, spike number; SL, spike length; KPS, kernels per spike; GN, grain number; TKW, thousand kernels weight; YPP, yield per plot; BM, biological mass.
DOI: 10.25582/data.2023-02.2750422/2314967
title: Data for EMSL Project 50407 from February 2023
DOI: 10.25582/data.2023-02.2750390/2314968
title: Data for EMSL Project 50407 from February 2023
DOI: 10.25582/data.2023-02.2750296/2314969
title: Data for EMSL Project 50407 from February 2023
DOI: 10.25582/data.2023-02.2750461/2314970
title: Data for EMSL Project 50407 from February 2023
DOI: 10.25582/data.2023-02.2750267/2314971
title: Data for EMSL Project 50407 from February 2023
DOI: 10.25582/data.2023-02.2750424/2314972
title: Data for EMSL Project 50407 from February 2023
DOI: 10.25582/data.2024-02.3039527/2314973
title: Data for EMSL Project 60881 from February 2024
DOI: 10.25582/data.2024-02.3039483/2314974
title: Data for EMSL Project 60881 from February 2024
DOI: 10.25582/data.2024-02.3039916/2314975
title: Data for EMSL Project 60881 from February 2024
DOI: 10.25582/data.2024-02.3039531/2314976
title: Data for EMSL Project 60881 from February 2024
DOI: 10.6084/m9.figshare.23507240
title: Evolving Permian magmatism associated with arc migration in the southern Beishan Orogenic Collage, Central Asian orogenic belt, NW China

description: Table S1: zircon U–pb-SHRIMP
DOI: 10.25582/data.2024-02.3039503/2314977
title: Data for EMSL Project 60881 from February 2024
DOI: 10.6084/m9.figshare.23507240.v1
title: Evolving Permian magmatism associated with arc migration in the southern Beishan Orogenic Collage, Central Asian orogenic belt, NW China

description: Table S1: zircon U–pb-SHRIMP
DOI: 10.6084/m9.figshare.23507243
title: Evolving Permian magmatism associated with arc migration in the southern Beishan Orogenic Collage, Central Asian orogenic belt, NW China

description: Table S3: Hf–O isotope
DOI: 10.25582/data.2024-02.3039778/2314978
title: Data for EMSL Project 60881 from February 2024
DOI: 10.6084/m9.figshare.23507243.v1
title: Evolving Permian magmatism associated with arc migration in the southern Beishan Orogenic Collage, Central Asian orogenic belt, NW China

description: Table S3: Hf–O isotope
DOI: 10.6084/m9.figshare.14594409
title: Additional file 10 of Comparative transcriptome profiling and co-expression network analysis uncover the key genes associated withearly-stage resistance to Aspergillus flavus in maize

description: Additional file 10: Table S8. List of hub genes identified in this study.
DOI: 10.15473/2315016
title: TEAMER: Experimental performance characterization of a shrouded axial-flow turbine

description: Sitkana has developed a shrouded hydrokinetic turbine with a modular, low-cost design that can be scaled to meet the needs of remote communities. With technical support from the University of Washington, Sitkana sought to experimentally characterize the mechanical power and structural loads of various 1:3.3 scale rotor geometries. In all, 11 different rotor geometries were characterized with variations in height-to-diameter ratio, blade number, and blade type (foiled versus flat). All tests were conducted in Reynolds-independent flow conditions in the Alice C. Tyler Flume at the University of Washington. Results allow Sitkana to (1) refine the optimal rotor geometry, (2) validate numerical models, and (3) predict power output for a full-scale system. This project is part of the TEAMER RFTS 8 (request for technical support) program.
DOI: 10.6084/m9.figshare.9877181
title: MOESM5 of Genome-wide association analysis of panicle exsertion and uppermost internode in rice (Oryza sativa L.)

description: Additional file 5: Table S1. The descriptive statistics of PE and UI for the All, JAPONICA, and INDICA groups in 2015 and 2016. Table S2. Information about the 205 accessions used in this study and phenotypic data of PE and UI observed in 2015 and 2016. Table S3. Genome-wide significant association loci of PE and UI for the All, JAPONICA, and INDICA groups in 2015 and 2016. Table S4. All the candidate genes identified for key novel loci qPE16, qPE21, qUI1, and qUI18 ( http://rice.plantbiology.msu.edu ). Table S5. Candidate genes screened as functional classification of genes for key novel loci qPE16, qPE21, qUI1, and qUI18. Table S6. Primer pairs used for gene cloning and PCR analyses in this study.
DOI: 10.15473/2315037
title: TEAMER: Biofouling Analysis for Wave Energy Piston Design - Load Cell Data

description: Biofouling and corrosion are a major concern for all ocean-deployed components, especially when mechanical motion is involved. Triton has developed the concept of a biofouling mitigation seal as part of the piston sealing assembly for the Triton Wave Energy Converter (TSI-WEC). This mitigation seal has the purpose of preventing the formation of a biofilm on the inside of the piston cylinder. It is hypothesized that the prevention of a biofilm will reduce the amount of macro-biofouling that can occur in the piston assembly. The mitigation seal can also reduce the wear on the main dynamic seal, helping to maintain smooth operation and water-tightness. The cylinder is made from a thermoset composite epoxy, which is resistant to corrosion. However, no studies have researched the material's performance with biofouling. Triton placed two prototype Power Take-Off (PTO) assemblies in a PNNL biofouling tank, one with a biofouling mitigation seal and one without, allowing for an evaluation of seal effectiveness at the prevention of biofouling. In actual WEC operation, wave action would react against the piston, which would drive the linear actuator and electric generator, providing electrical power. In the test setup, this was reversed; a linear actuator was powered to drive the piston in a consistent motion within the cylinder. There are two assemblies: one has a biofouling mitigation seal, the other (control) does not. The following data encompasses a 4 month test period, with load cells being used to monitor piston friction force. Results from this testing will be used to improve seal design and material selection, mitigating risk of premature failure during open water testing and evaluation. This project is part of the TEAMER RFTS 3 (request for technical support) program.
DOI: 10.6084/m9.figshare.9877181.v1
title: MOESM5 of Genome-wide association analysis of panicle exsertion and uppermost internode in rice (Oryza sativa L.)

description: Additional file 5: Table S1. The descriptive statistics of PE and UI for the All, JAPONICA, and INDICA groups in 2015 and 2016. Table S2. Information about the 205 accessions used in this study and phenotypic data of PE and UI observed in 2015 and 2016. Table S3. Genome-wide significant association loci of PE and UI for the All, JAPONICA, and INDICA groups in 2015 and 2016. Table S4. All the candidate genes identified for key novel loci qPE16, qPE21, qUI1, and qUI18 ( http://rice.plantbiology.msu.edu ). Table S5. Candidate genes screened as functional classification of genes for key novel loci qPE16, qPE21, qUI1, and qUI18. Table S6. Primer pairs used for gene cloning and PCR analyses in this study.
DOI: 10.6084/m9.figshare.14594409.v1
title: Additional file 10 of Comparative transcriptome profiling and co-expression network analysis uncover the key genes associated withearly-stage resistance to Aspergillus flavus in maize

description: Additional file 10: Table S8. List of hub genes identified in this study.
DOI: 10.6084/m9.figshare.14594415
title: Additional file 11 of Comparative transcriptome profiling and co-expression network analysis uncover the key genes associated withearly-stage resistance to Aspergillus flavus in maize

description: Additional file 11: Table S9. GO analysis of the 110 hub genes.
DOI: 10.6084/m9.figshare.20887356
title: Additional file 2 of Identification of cervical squamous cell carcinoma feature genes and construction of a prognostic model based on immune-related features

description: Additional file 2. Table S2: Lasso and Multivariate Cox regression analyses of prognosis-related genes from targeted modules of WGCNA
DOI: 10.6084/m9.figshare.14594415.v1
title: Additional file 11 of Comparative transcriptome profiling and co-expression network analysis uncover the key genes associated withearly-stage resistance to Aspergillus flavus in maize

description: Additional file 11: Table S9. GO analysis of the 110 hub genes.
DOI: 10.6084/m9.figshare.20887356.v1
title: Additional file 2 of Identification of cervical squamous cell carcinoma feature genes and construction of a prognostic model based on immune-related features

description: Additional file 2. Table S2: Lasso and Multivariate Cox regression analyses of prognosis-related genes from targeted modules of WGCNA
DOI: 10.6084/m9.figshare.20363157
title: Identified potential biomarkers may predict primary nonresponse to infliximab in patients with ulcerative colitis

description: Primary nonresponse to infliximab in patients with ulcerative colitis (UC) is common. However, there are currently no effective biomarkers for this prediction. This study aimed to identify potential predictors for precision anti-tumor necrosis factor-alpha treatment in patients with UC. Four GPL570 datasets (GSE14580, GSE12251, GSE23597, and GSE16879) were included in this study. Sixty-nine differentially expressed genes (DEGs) were identified, while 67 were up-regulated and two were down-regulated by comparing the gene expression in response samples with the nonresponse samples. Gene Ontology analysis showed that DEGs were mostly enriched in neutrophil-mediated immunity, neutrophil activation, neutrophil activation involved in the immune response, neutrophil degranulation, and leukocyte migration. Kyoto Encyclopaedia of Genes and Genomes analysis indicated that these DEGs were mostly enriched in cytokine-cytokine receptor interactions and interleukin (IL)-17 signalling pathways. After protein-protein interaction network analysis, verification by test set, and confirmation of clinical UC samples, S100 calcium-binding protein A8 (S100A8), S100A9, triggering receptor expressed on myeloid cells 1 (TREM1), toll-like receptor 2 (TLR2), IL1B, and formyl peptide receptor 1 (FPR1) were identified as the hub genes. We found that the immune cell composition in the intestinal tissues of UC patients with primary nonresponse included naïve CD4+ T cells, memory resting CD4+ T cells, resting natural killer cells, resting dendritic cells, activating dendritic cells, eosinophils, and neutrophils. Among these, neutrophils showed the most significant differences. In addition, all six potential predictors were significantly associated with the neutrophil count. Our study identified six potential biomarkers, namely S100A8, S100A9, TREM1, TLR2, IL1B, and FPR1, and one type of immune cell, neutrophils, between UC patients with response and primary nonresponse to infliximab. We speculated that changes in the expression of these six potential biomarkers combined with changes in the activity or local quantity of neutrophils might help predict primary nonresponse to infliximab in patients with UC.
DOI: 10.6084/m9.figshare.20363157.v1
title: Identified potential biomarkers may predict primary nonresponse to infliximab in patients with ulcerative colitis

description: Primary nonresponse to infliximab in patients with ulcerative colitis (UC) is common. However, there are currently no effective biomarkers for this prediction. This study aimed to identify potential predictors for precision anti-tumor necrosis factor-alpha treatment in patients with UC. Four GPL570 datasets (GSE14580, GSE12251, GSE23597, and GSE16879) were included in this study. Sixty-nine differentially expressed genes (DEGs) were identified, while 67 were up-regulated and two were down-regulated by comparing the gene expression in response samples with the nonresponse samples. Gene Ontology analysis showed that DEGs were mostly enriched in neutrophil-mediated immunity, neutrophil activation, neutrophil activation involved in the immune response, neutrophil degranulation, and leukocyte migration. Kyoto Encyclopaedia of Genes and Genomes analysis indicated that these DEGs were mostly enriched in cytokine-cytokine receptor interactions and interleukin (IL)-17 signalling pathways. After protein-protein interaction network analysis, verification by test set, and confirmation of clinical UC samples, S100 calcium-binding protein A8 (S100A8), S100A9, triggering receptor expressed on myeloid cells 1 (TREM1), toll-like receptor 2 (TLR2), IL1B, and formyl peptide receptor 1 (FPR1) were identified as the hub genes. We found that the immune cell composition in the intestinal tissues of UC patients with primary nonresponse included naïve CD4+ T cells, memory resting CD4+ T cells, resting natural killer cells, resting dendritic cells, activating dendritic cells, eosinophils, and neutrophils. Among these, neutrophils showed the most significant differences. In addition, all six potential predictors were significantly associated with the neutrophil count. Our study identified six potential biomarkers, namely S100A8, S100A9, TREM1, TLR2, IL1B, and FPR1, and one type of immune cell, neutrophils, between UC patients with response and primary nonresponse to infliximab. We speculated that changes in the expression of these six potential biomarkers combined with changes in the activity or local quantity of neutrophils might help predict primary nonresponse to infliximab in patients with UC.
DOI: 10.6084/m9.figshare.25301860
title: Dataset for "Compaction creep and evolution of transport properties of calcite fault gouge during the percolation of CO<sub>2</sub>-rich fluids"

description: This dataset is provided in support of the manuscript titled "Compaction creep and evolution of transport properties of calcite fault gouge during the percolation of CO2-rich fluids".
DOI: 10.6084/m9.figshare.19314667
title: Additional file 1 of Construction of a new immune-related lncRNA model and prediction of treatment and survival prognosis of human colon cancer

description: Additional file 1: Table S1. A total of 1093 immune-related lncRNAs were identified by co-expression analysis.
DOI: 10.6084/m9.figshare.19314667.v1
title: Additional file 1 of Construction of a new immune-related lncRNA model and prediction of treatment and survival prognosis of human colon cancer

description: Additional file 1: Table S1. A total of 1093 immune-related lncRNAs were identified by co-expression analysis.
DOI: 10.6084/m9.figshare.12498950
title: Table S3 from Global analysis of differentially expressed genes between two Japonica rice varieties induced by low-temperature during the booting stage by RNA-Seq

description: DEGs in LJ25 and LJ11 under chilling stress
DOI: 10.6084/m9.figshare.12498950.v1
title: Table S3 from Global analysis of differentially expressed genes between two Japonica rice varieties induced by low-temperature during the booting stage by RNA-Seq

description: DEGs in LJ25 and LJ11 under chilling stress
DOI: 10.6084/m9.figshare.12498971
title: Table S4 from Global analysis of differentially expressed genes between two Japonica rice varieties induced by low-temperature during the booting stage by RNA-Seq

description: GO analysis of DEGs in LJ25 and LJ11 under chilling stress with threshold KS＜0.005
DOI: 10.6084/m9.figshare.12498971.v1
title: Table S4 from Global analysis of differentially expressed genes between two Japonica rice varieties induced by low-temperature during the booting stage by RNA-Seq

description: GO analysis of DEGs in LJ25 and LJ11 under chilling stress with threshold KS＜0.005
DOI: 10.6084/m9.figshare.12498974
title: Table S5 from Global analysis of differentially expressed genes between two Japonica rice varieties induced by low-temperature during the booting stage by RNA-Seq

description: Top 20 GO terms in LJ25 and LJ11 under chilling stress.
DOI: 10.6084/m9.figshare.12498974.v1
title: Table S5 from Global analysis of differentially expressed genes between two Japonica rice varieties induced by low-temperature during the booting stage by RNA-Seq

description: Top 20 GO terms in LJ25 and LJ11 under chilling stress.
DOI: 10.6084/m9.figshare.19314729
title: Additional file 3 of Characterization of pectin methylesterase gene family and its possible role in juice sac granulation in navel orange (Citrus sinensis Osbeck)

description: Additional file 3: Table S1. Verification of PME and PMEI domains in candidate CsPME genes.
DOI: 10.6084/m9.figshare.19314729.v1
title: Additional file 3 of Characterization of pectin methylesterase gene family and its possible role in juice sac granulation in navel orange (Citrus sinensis Osbeck)

description: Additional file 3: Table S1. Verification of PME and PMEI domains in candidate CsPME genes.
DOI: 10.6084/m9.figshare.19314732
title: Additional file 4 of Characterization of pectin methylesterase gene family and its possible role in juice sac granulation in navel orange (Citrus sinensis Osbeck)

description: Additional file 4: Table S2. Basic information of the PME genes in Citrus sinensis.
DOI: 10.6084/m9.figshare.19314732.v1
title: Additional file 4 of Characterization of pectin methylesterase gene family and its possible role in juice sac granulation in navel orange (Citrus sinensis Osbeck)

description: Additional file 4: Table S2. Basic information of the PME genes in Citrus sinensis.
DOI: 10.6084/m9.figshare.19314741
title: Additional file 7 of Characterization of pectin methylesterase gene family and its possible role in juice sac granulation in navel orange (Citrus sinensis Osbeck)

description: Additional file 7: Table S5. List of primers used for qRT-PCR, gene cloning, and vector construction in this study.
DOI: 10.6084/m9.figshare.19314741.v1
title: Additional file 7 of Characterization of pectin methylesterase gene family and its possible role in juice sac granulation in navel orange (Citrus sinensis Osbeck)

description: Additional file 7: Table S5. List of primers used for qRT-PCR, gene cloning, and vector construction in this study.
DOI: 10.6084/m9.figshare.13023321
title: Additional file 1 of Increased microbial sequestration of soil organic carbon under nitrogen deposition over China’s terrestrial ecosystems

description: Additional file 1. Supplementary Dataset S1. Current measurements of microbial necromass C under N addition. Supplementary Dataset S2. Effect sizes for microbial necromass C in response to N addition.
DOI: 10.6084/m9.figshare.13023321.v1
title: Additional file 1 of Increased microbial sequestration of soil organic carbon under nitrogen deposition over China’s terrestrial ecosystems

description: Additional file 1. Supplementary Dataset S1. Current measurements of microbial necromass C under N addition. Supplementary Dataset S2. Effect sizes for microbial necromass C in response to N addition.
DOI: 10.6084/m9.figshare.13023410
title: Additional file 9 of Integrated metabolic profiling and transcriptome analysis of pigment accumulation in diverse petal tissues in the lily cultivar ‘Vivian’

description: Additional file 9: Table S2. Statistics of RNA-Seq data.
DOI: 10.6084/m9.figshare.13023371
title: Additional file 10 of Integrated metabolic profiling and transcriptome analysis of pigment accumulation in diverse petal tissues in the lily cultivar ‘Vivian’

description: Additional file 10: Table S3. Statistics of sequence.
DOI: 10.6084/m9.figshare.9877679
title: Additional file 2 of A novel protein descriptor for the prediction of drug binding sites

description: Protein list for the experiment with various DBSCAN parameters. This file contains randomly selected training proteins for the experiment with various DBSCAN parameters. All proteins come from the sc-PDB database, 3000 for training, 1000 for validation and 1000 for testing. (CSV 81 kb)
DOI: 10.6084/m9.figshare.13023371.v1
title: Additional file 10 of Integrated metabolic profiling and transcriptome analysis of pigment accumulation in diverse petal tissues in the lily cultivar ‘Vivian’

description: Additional file 10: Table S3. Statistics of sequence.
DOI: 10.6084/m9.figshare.13023407
title: Additional file 8 of Integrated metabolic profiling and transcriptome analysis of pigment accumulation in diverse petal tissues in the lily cultivar ‘Vivian’

description: Additional file 8: Table S1. All the metabolites of lily petals detected by widely-targeted metabolomics method.
DOI: 10.6084/m9.figshare.13023374
title: Additional file 11 of Integrated metabolic profiling and transcriptome analysis of pigment accumulation in diverse petal tissues in the lily cultivar ‘Vivian’

description: Additional file 11: Table S4. Summary for the annotation of unigenes.
DOI: 10.6084/m9.figshare.9877679.v1
title: Additional file 2 of A novel protein descriptor for the prediction of drug binding sites

description: Protein list for the experiment with various DBSCAN parameters. This file contains randomly selected training proteins for the experiment with various DBSCAN parameters. All proteins come from the sc-PDB database, 3000 for training, 1000 for validation and 1000 for testing. (CSV 81 kb)