cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12607799.v1
title: Supplementary Material for: Significance of Neutrophil Gelatinase-Associated Lipocalin as a Biomarker for the Diagnosis of Diabetic Kidney Disease: A Systematic Review and Meta-Analysis

description: <b><i>Background:</i></b> Neutrophil gelatinase-associated lipocalin (NGAL) is a promising marker for the diagnosis of diabetic kidney disease (DKD), but its utility is currently debated. This meta-analysis aims to evaluate the diagnostic value of NGAL for DKD. <b><i>Method:</i></b> MEDLINE, Embase, ­Cochrane Library, CNKI, and CBM databases were searched up to April 13, 2019. In bivariate random-effect models, the diagnostic performance of NGAL for DKD was assessed using pooled estimates of sensitivity, specificity, likelihood ratio, diagnostic odds ratio, and hierarchical summary receiver-operating characteristic analysis. <b><i>Results:</i></b> Nineteen studies were eligible for the meta-analysis. Serum NGAL had a pooled sensitivity and specificity of 0.79 (95% confidence intervals [CI] 0.60–0.91) and 0.87 (0.75–0.93) (7 studies, 1,238 patients). The pooled positive likelihood ratio (LR+) and negative likelihood ratio (LR–) were 5.97 (3.03–11.76) and 0.24 (0.11–0.51). For urine NGAL, the pooled sensitivity, specificity, LR+, and LR– were 0.85 (0.74–0.91), 0.74 (0.57–0.86), 3.26 (1.87–5.67), and 0.21 (0.12–0.35), respectively (10 studies, 1,369 patients). The pooled sensitivity and specificity for kidney disease in normoalbuminuric patients with diabetes was 0.90 (0.82–0.95) and 0.97 (0.90–0.99) for both serum NGAL and 0.94 (0.87–0.98) and 0.90 (0.81–0.96) for urine NGAL (4 studies, 221 patients). NGAL appeared to perform similarly in subgroup analysis. <b><i>Conclusion:</i></b> The meta-analysis has shown that NGAL may be useful for DKD classification and also has a potential diagnostic value for normoalbuminuric kidney disease. Large-scale prospective studies are required to clarify its role in the diagnosis and risk stratification of patients with DKD.
DOI: 10.6084/m9.figshare.12607787
title: Absolute dating of past seismic events using the Optically Stimulated Luminescence (OSL) technique on fault gouge material-A case study of the Nojima Fault Zone, SW Japan_Supplementary data

description: This study explores the use of the Optically Stimulated Luminescence (OSL) dating technique for understanding past faulting time and assessing the activity of faults developed in basement rocks. Our approach is focused on methodological aspects of OSL and reports on ages of fault gouge samples collected from two faults in Japan. The present work has indicated that OSL is potentially a promising technique for dating fault gouges and assessing the activity of faults, although more work is needed for further refinement.
DOI: 10.6084/m9.figshare.12607742
title: TraceClusteringLiterature

description: This dataset contains a set of papers used in a systematic literature review study submitted to a conference. The study was conducted in 06.2020.
DOI: 10.6084/m9.figshare.12607739
title: data 1

description: For submission
DOI: 10.6084/m9.figshare.12607739.v1
title: Mastura Ab. Waha - Proactive Personality 213.sav

description: This data set is for research on proactive personality, trait competitiveness, work stress and well-being among salespersons in Malaysia
DOI: 10.6084/m9.figshare.12607742.v1
title: ICPM_2020_TraceClusteringLiteratureReview.xlsx

description: This dataset contains a set of papers used in a systematic literature review study submitted to a conference. The study was conducted in 06.2020.
DOI: 10.6084/m9.figshare.12607676
title: JVASP-50107 to JVASP-52282

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.12607676.v1
title: JVASP-50107 to JVASP-52282

description: JARVIS-DFT
DOI: 10.6084/m9.figshare.12607667
title: Supplementary 4 - qPCR on RNAi "FoxP expression analysis and role in locomotion"

description: qPCR for FoxP isoforms on the available RNAi lines
DOI: 10.6084/m9.figshare.12607667.v1
title: S4. qPCR on RNAi

description: qPCR for FoxP isoforms on the available RNAi lines
DOI: 10.6084/m9.figshare.12607730.v4
title: Figure 4

description: Figure 4:<br>- Confocal stacks<br>- Excel files with cell counting<br>- qPCR data
DOI: 10.6084/m9.figshare.12607667.v3
title: Supplementary 4 - qPCR on RNAi "FoxP expression analysis and role in locomotion"

description: qPCR for FoxP isoforms on the available RNAi lines
DOI: 10.6084/m9.figshare.12607667.v2
title: Supplementary 4 - qPCR on RNAi

description: qPCR for FoxP isoforms on the available RNAi lines
DOI: 10.6084/m9.figshare.12607730.v5
title: Figure 4

description: Figure 4:<br>- Confocal stacks<br>- Excel files with cell counting<br>- qPCR data
DOI: 10.6084/m9.figshare.12607631
title: Dataset for the manuscript "Transitions of fluid invasion patterns in porous media" by Lan et al.

description: Dataset for the manuscript "Transitions of fluid invasion patterns in porous media" by Lan et al.<br>
DOI: 10.6084/m9.figshare.12607730.v6
title: Figure 4

description: Figure 4:<br>- Confocal stacks<br>- Excel files with cell counting<br>- qPCR data
DOI: 10.6084/m9.figshare.12607631.v1
title: data.zip

description: Dataset for the manuscript "Transitions of fluid invasion patterns in porous media" by Lan et al.<br>
DOI: 10.6084/m9.figshare.12607730.v7
title: Figure 4

description: Figure 4:<br>- Confocal stacks<br>- Excel files with cell counting<br>- qPCR data
DOI: 10.6084/m9.figshare.12607631.v2
title: Dataset for the manuscript "Transitions of fluid invasion patterns in porous media" by Lan et al.

description: Dataset for the manuscript "Transitions of fluid invasion patterns in porous media" by Lan et al.<br>
DOI: 10.6084/m9.figshare.12607625
title: Supplementary Material for: Intramural Hematoma Shape and Acute Cerebral Infarction in Intracranial Artery Dissection: A High-Resolution Magnetic Resonance Imaging Study

description: <b><i>Background:</i></b> Intracranial artery dissection (IAD) is gaining recognition as an important cause of stroke, but limited information is available about the morphology of the dissection. This study aimed to investigate the relationship between acute cerebral infarctions and the shape of hematoma in patients with IADs using high-resolution magnetic resonance imaging (HRMRI). <b><i>Methods:</i></b> We enrolled consecutive patients who presented with vascular headaches, transient ischemic attacks, or ischemic strokes with acute IAD confirmed by HRMRI using key pathognomonic radiological findings of IAD, including intimal flap, intramural hematoma (IMH), and double lumen. All patients were enrolled and HRMRI was performed, both within 7 days of symptom onset. All patients with acute ischemic infarction within 7 days were enrolled. Patients were divided into 2 groups: those with a proximal dominant intramural hematoma (PIMH) and those with a distal dominant intramural hematoma (DIMH). A PIMH was defined as when the volume of the hematoma in the proximal region was greater than that in the distal region, and a DIMH was defined as when the distal region was greater than that in the proximal region. Clinical and radiological characteristics between the 2 groups were compared using univariable and multivariable logistic regression. <b><i>Results:</i></b> The mean age of the 42 participants was 52.6 ± 12.7 years, and 24 (57.1%) were male. Twenty-seven (64.3%) had a PIMH and 15 (35.7%) had a DIMH. Thirty-six (85.7%) showed a double lumen and 27 (64.3%) showed a dissecting flap. Acute infarction was observed in 31 (73.8%) patients. Patients with PIMHs showed a higher prevalence of cerebral infarction than those with DIMHs (96.3 vs. 33.3%; <i>p</i> &lt; 0.001). Univariable (odds ratio [OR] 52.00; 95% confidence interval [CI] 5.386–502.082; <i>p</i> = 0.001) and multivariable (OR 65.43; 95% CI 5.20–822.92; <i>p</i> = 0.001) analyses showed that only dissection type was independently associated with the risk of cerebral infarction. <b><i>Conclusion:</i></b> In patients with cerebral artery dissections, the shape of IMHs was independently associated with cerebral infarction. PIMHs may be more closely associated with cerebral infarctions than DIMHs.
DOI: 10.6084/m9.figshare.12607625.v1
title: Supplementary Material for: Intramural Hematoma Shape and Acute Cerebral Infarction in Intracranial Artery Dissection: A High-Resolution Magnetic Resonance Imaging Study

description: <b><i>Background:</i></b> Intracranial artery dissection (IAD) is gaining recognition as an important cause of stroke, but limited information is available about the morphology of the dissection. This study aimed to investigate the relationship between acute cerebral infarctions and the shape of hematoma in patients with IADs using high-resolution magnetic resonance imaging (HRMRI). <b><i>Methods:</i></b> We enrolled consecutive patients who presented with vascular headaches, transient ischemic attacks, or ischemic strokes with acute IAD confirmed by HRMRI using key pathognomonic radiological findings of IAD, including intimal flap, intramural hematoma (IMH), and double lumen. All patients were enrolled and HRMRI was performed, both within 7 days of symptom onset. All patients with acute ischemic infarction within 7 days were enrolled. Patients were divided into 2 groups: those with a proximal dominant intramural hematoma (PIMH) and those with a distal dominant intramural hematoma (DIMH). A PIMH was defined as when the volume of the hematoma in the proximal region was greater than that in the distal region, and a DIMH was defined as when the distal region was greater than that in the proximal region. Clinical and radiological characteristics between the 2 groups were compared using univariable and multivariable logistic regression. <b><i>Results:</i></b> The mean age of the 42 participants was 52.6 ± 12.7 years, and 24 (57.1%) were male. Twenty-seven (64.3%) had a PIMH and 15 (35.7%) had a DIMH. Thirty-six (85.7%) showed a double lumen and 27 (64.3%) showed a dissecting flap. Acute infarction was observed in 31 (73.8%) patients. Patients with PIMHs showed a higher prevalence of cerebral infarction than those with DIMHs (96.3 vs. 33.3%; <i>p</i> &lt; 0.001). Univariable (odds ratio [OR] 52.00; 95% confidence interval [CI] 5.386–502.082; <i>p</i> = 0.001) and multivariable (OR 65.43; 95% CI 5.20–822.92; <i>p</i> = 0.001) analyses showed that only dissection type was independently associated with the risk of cerebral infarction. <b><i>Conclusion:</i></b> In patients with cerebral artery dissections, the shape of IMHs was independently associated with cerebral infarction. PIMHs may be more closely associated with cerebral infarctions than DIMHs.
DOI: 10.6084/m9.figshare.12607631.v3
title: Dataset for the manuscript "Transitions of fluid invasion patterns in porous media" by Lan et al.

description: Dataset for the manuscript "Transitions of fluid invasion patterns in porous media" by Lan et al.<br>
DOI: 10.6084/m9.figshare.12607730.v8
title: Figure 4

description: Figure 4:<br>- Confocal stacks<br>- Excel files with cell counting<br>- qPCR data
DOI: 10.6084/m9.figshare.12607460
title: Additional file 2 of Recent infection by Wolbachia alters microbial communities in wild Laodelphax striatellus populations

description: Additional file 2: Table S5 Abundance of OTUs among the 48 samples. Table S8 Abundance of OTUs between the Wolbachia-infected and Wolbachia-free females in SAP populations. Table S9 Read proportions of bacterial 16S rRNA genes among Wolbachia-infected females and Wolbachia-free females at the genus level by Mann-Whitney U tests. Table S13 Read proportions of bacterial 16S rRNA genes for Wolbachia-infected females (excluding Wolbachia reads) at the genus level by Mann-Whitney U tests. Table S14 Significantly increased read proportions of bacterial 16S rRNA genes and the tissue in which their corresponding bacteria were distributed for Wolbachia-infected females (excluding Wolbachia reads) at the genus level by Mann-Whitney U tests. The tissue distribution of bacteria was obtained from Zhang et al. [33]. Table S15 Significantly reduced read proportions of bacterial 16S rRNA genes and the tissue in which their corresponding bacteria were distributed for Wolbachia-infected females (excluding Wolbachia reads) at the genus level by Mann-Whitney U tests. The tissue distribution of bacteria was obtained from Zhang et al. [33]. Table S16 Expression differences of immune genes between Wolbachia-infected and Wolbachia-cured female adults expressed in abdomens. Table S17 Expression differences of metabolism genes between Wolbachia-infected and Wolbachia-cured female adults expressed in abdomens.
DOI: 10.6084/m9.figshare.12607460.v1
title: Additional file 2 of Recent infection by Wolbachia alters microbial communities in wild Laodelphax striatellus populations

description: Additional file 2: Table S5 Abundance of OTUs among the 48 samples. Table S8 Abundance of OTUs between the Wolbachia-infected and Wolbachia-free females in SAP populations. Table S9 Read proportions of bacterial 16S rRNA genes among Wolbachia-infected females and Wolbachia-free females at the genus level by Mann-Whitney U tests. Table S13 Read proportions of bacterial 16S rRNA genes for Wolbachia-infected females (excluding Wolbachia reads) at the genus level by Mann-Whitney U tests. Table S14 Significantly increased read proportions of bacterial 16S rRNA genes and the tissue in which their corresponding bacteria were distributed for Wolbachia-infected females (excluding Wolbachia reads) at the genus level by Mann-Whitney U tests. The tissue distribution of bacteria was obtained from Zhang et al. [33]. Table S15 Significantly reduced read proportions of bacterial 16S rRNA genes and the tissue in which their corresponding bacteria were distributed for Wolbachia-infected females (excluding Wolbachia reads) at the genus level by Mann-Whitney U tests. The tissue distribution of bacteria was obtained from Zhang et al. [33]. Table S16 Expression differences of immune genes between Wolbachia-infected and Wolbachia-cured female adults expressed in abdomens. Table S17 Expression differences of metabolism genes between Wolbachia-infected and Wolbachia-cured female adults expressed in abdomens.
DOI: 10.6084/m9.figshare.12607427
title: Additional file 3 of A multidimensional systems biology analysis of cellular senescence in aging and disease

description: 271 CellAge orthogroups. Directory containing FASTA files of CellAge orthogroups.
DOI: 10.6084/m9.figshare.12607439
title: Additional file 5 of A multidimensional systems biology analysis of cellular senescence in aging and disease

description: GTEx simulated expression script. R script to find expected number of overlaps between GTEx tissue DEGs with age when gene names are scrambled.
DOI: 10.6084/m9.figshare.12607427.v1
title: Additional file 3 of A multidimensional systems biology analysis of cellular senescence in aging and disease

description: 271 CellAge orthogroups. Directory containing FASTA files of CellAge orthogroups.
DOI: 10.6084/m9.figshare.12607439.v1
title: Additional file 5 of A multidimensional systems biology analysis of cellular senescence in aging and disease

description: GTEx simulated expression script. R script to find expected number of overlaps between GTEx tissue DEGs with age when gene names are scrambled.
DOI: 10.6084/m9.figshare.12607421
title: Additional file 1 of A multidimensional systems biology analysis of cellular senescence in aging and disease

description: Excel file containing Supplementary Tables S1-S48.
DOI: 10.6084/m9.figshare.12607421.v1
title: Additional file 1 of A multidimensional systems biology analysis of cellular senescence in aging and disease

description: Excel file containing Supplementary Tables S1-S48.
DOI: 10.6084/m9.figshare.12607402
title: Additional file 2 of Genome-wide analyses of chromatin interactions after the loss of Pol I, Pol II, and Pol III

description: Additional file 2: Table S1. RNA-Seq RPKM values for the Pol II untreated and degron cells. Table S2. Summary statistics of the Hi-C, HiChIP, and Ocean-C data. Table S3. Hi-C identified TADs (contact domains). Table S4. HiCCUPS identified loop domains. Table S5. Pol II PLAC-Seq high confidence interactions identified using the Origami pipeline. Table S6. RNAP ChIP-Seq peaks. Table S7. PCR primer sequences used in this study. Table S8. List of data sets used in this study.
DOI: 10.6084/m9.figshare.12607402.v1
title: Additional file 2 of Genome-wide analyses of chromatin interactions after the loss of Pol I, Pol II, and Pol III

description: Additional file 2: Table S1. RNA-Seq RPKM values for the Pol II untreated and degron cells. Table S2. Summary statistics of the Hi-C, HiChIP, and Ocean-C data. Table S3. Hi-C identified TADs (contact domains). Table S4. HiCCUPS identified loop domains. Table S5. Pol II PLAC-Seq high confidence interactions identified using the Origami pipeline. Table S6. RNAP ChIP-Seq peaks. Table S7. PCR primer sequences used in this study. Table S8. List of data sets used in this study.
DOI: 10.6084/m9.figshare.12607385
title: Additional file 2 of Haemato-immunological responses and effectiveness of feed-based bivalent vaccine against Streptococcus iniae and Aeromonas hydrophila infections in hybrid red tilapia (Oreochromis mossambicus × O. niloticus)

description: Additional file 2: Table 2. Statistics.
DOI: 10.6084/m9.figshare.12607385.v1
title: Additional file 2 of Haemato-immunological responses and effectiveness of feed-based bivalent vaccine against Streptococcus iniae and Aeromonas hydrophila infections in hybrid red tilapia (Oreochromis mossambicus × O. niloticus)

description: Additional file 2: Table 2. Statistics.
DOI: 10.6084/m9.figshare.12607342
title: Additional file 9 of Discovery, identification, and functional characterization of long noncoding RNAs in Arachis hypogaea L.

description: Additional file 9: Table S9. Primers used in this paper.
DOI: 10.6084/m9.figshare.12607342.v1
title: Additional file 9 of Discovery, identification, and functional characterization of long noncoding RNAs in Arachis hypogaea L.

description: Additional file 9: Table S9. Primers used in this paper.
DOI: 10.6084/m9.figshare.12607330
title: Additional file 5 of Discovery, identification, and functional characterization of long noncoding RNAs in Arachis hypogaea L.

description: Additional file 5: Table S5. The distribution of lncRNAs in peanut chromosomes.
DOI: 10.6084/m9.figshare.12607339
title: Additional file 8 of Discovery, identification, and functional characterization of long noncoding RNAs in Arachis hypogaea L.

description: Additional file 8: Table S8. Integrated function annotation of the target genes.
DOI: 10.6084/m9.figshare.12607327
title: Additional file 4 of Discovery, identification, and functional characterization of long noncoding RNAs in Arachis hypogaea L.

description: Additional file 4: Table S4. 189 differentially expressed lncRNAs.
DOI: 10.6084/m9.figshare.12607333
title: Additional file 6 of Discovery, identification, and functional characterization of long noncoding RNAs in Arachis hypogaea L.

description: Additional file 6: Table S6.Cis-target genes of lncRNAs.
DOI: 10.6084/m9.figshare.12607336
title: Additional file 7 of Discovery, identification, and functional characterization of long noncoding RNAs in Arachis hypogaea L.

description: Additional file 7: Table S7.Trans-target genes of lncRNAs.
DOI: 10.6084/m9.figshare.12607339.v1
title: Additional file 8 of Discovery, identification, and functional characterization of long noncoding RNAs in Arachis hypogaea L.

description: Additional file 8: Table S8. Integrated function annotation of the target genes.
DOI: 10.6084/m9.figshare.12607324
title: Additional file 3 of Discovery, identification, and functional characterization of long noncoding RNAs in Arachis hypogaea L.

description: Additional file 3: Table S3. The detailed informations of 1442 lncRNAs.
DOI: 10.6084/m9.figshare.12607327.v1
title: Additional file 4 of Discovery, identification, and functional characterization of long noncoding RNAs in Arachis hypogaea L.

description: Additional file 4: Table S4. 189 differentially expressed lncRNAs.
DOI: 10.6084/m9.figshare.12607330.v1
title: Additional file 5 of Discovery, identification, and functional characterization of long noncoding RNAs in Arachis hypogaea L.

description: Additional file 5: Table S5. The distribution of lncRNAs in peanut chromosomes.
DOI: 10.6084/m9.figshare.12607333.v1
title: Additional file 6 of Discovery, identification, and functional characterization of long noncoding RNAs in Arachis hypogaea L.

description: Additional file 6: Table S6.Cis-target genes of lncRNAs.
DOI: 10.6084/m9.figshare.12607336.v1
title: Additional file 7 of Discovery, identification, and functional characterization of long noncoding RNAs in Arachis hypogaea L.

description: Additional file 7: Table S7.Trans-target genes of lncRNAs.
DOI: 10.6084/m9.figshare.12607321
title: Additional file 2 of Discovery, identification, and functional characterization of long noncoding RNAs in Arachis hypogaea L.

description: Additional file 2: Table S2. RNA-seq data production and alignment results of four samples.
DOI: 10.6084/m9.figshare.12607324.v1
title: Additional file 3 of Discovery, identification, and functional characterization of long noncoding RNAs in Arachis hypogaea L.

description: Additional file 3: Table S3. The detailed informations of 1442 lncRNAs.
DOI: 10.6084/m9.figshare.12607318
title: Additional file 1 of Discovery, identification, and functional characterization of long noncoding RNAs in Arachis hypogaea L.

description: Additional file 1: Table S1. Overview of the four total RNA-seq data sets.
DOI: 10.6084/m9.figshare.12607321.v1
title: Additional file 2 of Discovery, identification, and functional characterization of long noncoding RNAs in Arachis hypogaea L.

description: Additional file 2: Table S2. RNA-seq data production and alignment results of four samples.
DOI: 10.6084/m9.figshare.12607318.v1
title: Additional file 1 of Discovery, identification, and functional characterization of long noncoding RNAs in Arachis hypogaea L.

description: Additional file 1: Table S1. Overview of the four total RNA-seq data sets.
DOI: 10.6084/m9.figshare.12607300
title: Additional file 10 of Discovery, identification, and functional characterization of long noncoding RNAs in Arachis hypogaea L.

description: Additional file 10: Table S10. Comparison with published peanut lncRNAs
DOI: 10.6084/m9.figshare.12607300.v1
title: Additional file 10 of Discovery, identification, and functional characterization of long noncoding RNAs in Arachis hypogaea L.

description: Additional file 10: Table S10. Comparison with published peanut lncRNAs
DOI: 10.6084/m9.figshare.12607285
title: Additional file 3 of Etoposide-mediated interleukin-8 secretion from bone marrow stromal cells induces hematopoietic stem cell mobilization

description: Additional file 3.
DOI: 10.6084/m9.figshare.12607282
title: Additional file 2 of Etoposide-mediated interleukin-8 secretion from bone marrow stromal cells induces hematopoietic stem cell mobilization

description: Additional file 2.
DOI: 10.6084/m9.figshare.12607282.v1
title: Additional file 2 of Etoposide-mediated interleukin-8 secretion from bone marrow stromal cells induces hematopoietic stem cell mobilization

description: Additional file 2.
DOI: 10.6084/m9.figshare.12607277
title: Additional file 1 of Synergisms of genome and metabolism stabilizing antitumor therapy (GMSAT) in human breast and colon cancer cell lines: a novel approach to screen for synergism

description: Additional file 1. Combination experiments, MCF-7 dose-respond-curves, HT-29 dose respond curves, MDA-MB dose respond curves and MDIS (minimalistic drug interaction screening). In this file all data concerning the combination experiments, the dose respond curves of the three cell lines and the MDIS can be found.
DOI: 10.6084/m9.figshare.12607285.v1
title: Additional file 3 of Etoposide-mediated interleukin-8 secretion from bone marrow stromal cells induces hematopoietic stem cell mobilization

description: Additional file 3.