cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12720566.v1
title: Pretreatment Glasgow prognostic score as a biomarker of outcomes in nivolumab-treated patients with advanced gastric cancer

description: Nivolumab might provide overall survival benefits for patients with advanced gastric cancer in Japan, South Korea, and Taiwan. However, it is effective in only a limited number of patients. Glasgow prognostic score is an indicator of systematic inflammatory response and nutritional status. This study aimed to investigate the ability of the Glasgow prognostic score and other markers to predict the prognosis in patients treated with nivolumab. We reviewed the medical records of all patients with previously treated advanced gastric cancer who received nivolumab between February 2015 and June 2019 at Hyogo Cancer Center. The patients were categorized into two groups according to their Glasgow prognostic score. In total, 53.3% and 46.7% of patients were assigned to groups with a Glasgow prognostic score of 0, or that of 1 or 2, respectively. The median progression-free survival and median overall survival were 2.3 and 5.7 months among all participants. The median progression-free survival (3.6 vs. 1.4 months; p = 0.015) and median overall survival (16.4 vs. 4.2 months; p = 0.0006) were significantly longer in patients with a Glasgow prognostic score of 0 than in those with a Glasgow prognostic score of 1 or 2. Pretreatment Glasgow prognostic score of 0 was associated with better outcomes. This study suggests that Glasgow prognostic score may be a prognostic biomarker in patients with advanced gastric cancer treated with nivolumab.
DOI: 10.6084/m9.figshare.12720551
title: Province-level-CO2-reductions_20200608.xlsx

description: This data set contains province level CO2 reductions associated with COVID-19 in 2020 Q1 in China<br>
DOI: 10.6084/m9.figshare.12720551.v1
title: Province-level-CO2-reductions_20200608.xlsx

description: This data set contains province level CO2 reductions associated with COVID-19 in 2020 Q1 in China<br>
DOI: 10.6084/m9.figshare.12720569.v1
title: Raw data for “Deep neural network solution of the electronic Schrödinger equation”

description: Contains raw data generated by DeepQMC used to generate figures in the manuscript “Deep neural network solution of the electronic Schrödinger equation”.<br>All files are to be placed in the directory data/raw/ of the noegroup/dlqmc-project Github repository. "cyclobutadiene.tar" is to be unpacked, "data_pub_small_systems.h5.*" are to be concatenated (split because of fighshare's file size limit).
DOI: 10.5258/soton/d1424
title: Dataset for: Highly efficient 110-W closed-cycle cryogenically cooled Nd:YAG laser operating at 946-nm

description: This dataset supports the publication: Shayeganrad, G. et al (2020). Highly efficient 110-W closed-cycle cryogenically cooled Nd:YAG laser operating at 946 nm. Optics Letters. doi:10.1364/OL.401011
DOI: 10.6084/m9.figshare.12720500
title: Raw data for antiproliferative and antioxidant activities and total phenolic content of Ocimum gratissimum extracts

description: Raw data for antiproliferative and antioxidant activities and total phenolic content of <i>Ocimum gratissimum </i>extracts
DOI: 10.6084/m9.figshare.12720280
title: Additional file 1 of Whole genome sequencing of macrolide resistant Streptococcus pneumoniae serotype 19A sequence type 416

description: Additional file 1. List of Streptococcus pneumoniae clinical isolates included in the study. Table contains data of origin and properties of the isolates. (CZ, the Czech Republic; ITA, Italy; POR, Portugal; F, female; M, male; PEN, penicillin; CTX, cefotaxime; ERY, erythromycin; CLI, clindamycin; TET, tetracycline; CMP, chloramphenicol; SXT, trimethoprim/sulfamethoxazole; Induction, inducible clindamycin resistance).
DOI: 10.6084/m9.figshare.12720280.v1
title: Additional file 1 of Whole genome sequencing of macrolide resistant Streptococcus pneumoniae serotype 19A sequence type 416

description: Additional file 1. List of Streptococcus pneumoniae clinical isolates included in the study. Table contains data of origin and properties of the isolates. (CZ, the Czech Republic; ITA, Italy; POR, Portugal; F, female; M, male; PEN, penicillin; CTX, cefotaxime; ERY, erythromycin; CLI, clindamycin; TET, tetracycline; CMP, chloramphenicol; SXT, trimethoprim/sulfamethoxazole; Induction, inducible clindamycin resistance).
DOI: 10.6084/m9.figshare.12720250
title: Additional file 6 of Construction and optimization of gene expression signatures for prediction of survival in two-arm clinical trials

description: Additional file 6. Data matrix of TNBC gene expression profiles. Data matrix of TNBC gene expression profiles in the form of quantile-normalized and batch corrected microarray log2(expression) values, formatted as a {20,756 × 210} {genes × samples} matrix.
DOI: 10.6084/m9.figshare.12720253
title: Additional file 7 of Construction and optimization of gene expression signatures for prediction of survival in two-arm clinical trials

description: Additional file 7. Companion metadata file for TNBC study. Companion metadata file for TNBC study with treatment arm, PFS times and censoring status indicated. PFS times are given in units of standard “months” equal to (365.25 / 12) days.
DOI: 10.6084/m9.figshare.12720256
title: Additional file 8 of Construction and optimization of gene expression signatures for prediction of survival in two-arm clinical trials

description: Additional file 8. Oxidative stress response genes. List of 101 genes involved in oxidative stress response.
DOI: 10.6084/m9.figshare.12720244
title: Additional file 4 of Construction and optimization of gene expression signatures for prediction of survival in two-arm clinical trials

description: Additional file 4. CMS CRC subtype centroids. Tab-separated-values text file containing the CMS CRC subtype centroids.
DOI: 10.6084/m9.figshare.12720253.v1
title: Additional file 7 of Construction and optimization of gene expression signatures for prediction of survival in two-arm clinical trials

description: Additional file 7. Companion metadata file for TNBC study. Companion metadata file for TNBC study with treatment arm, PFS times and censoring status indicated. PFS times are given in units of standard “months” equal to (365.25 / 12) days.
DOI: 10.6084/m9.figshare.12720256.v1
title: Additional file 8 of Construction and optimization of gene expression signatures for prediction of survival in two-arm clinical trials

description: Additional file 8. Oxidative stress response genes. List of 101 genes involved in oxidative stress response.
DOI: 10.6084/m9.figshare.12720250.v1
title: Additional file 6 of Construction and optimization of gene expression signatures for prediction of survival in two-arm clinical trials

description: Additional file 6. Data matrix of TNBC gene expression profiles. Data matrix of TNBC gene expression profiles in the form of quantile-normalized and batch corrected microarray log2(expression) values, formatted as a {20,756 × 210} {genes × samples} matrix.
DOI: 10.6084/m9.figshare.12720238
title: Additional file 2 of Construction and optimization of gene expression signatures for prediction of survival in two-arm clinical trials

description: Additional file 2. Companion metadata file for AFLAME study. Companion metadata file for AFLAME study with treatment arm, PFS times and censoring status indicated.
DOI: 10.6084/m9.figshare.12720241
title: Additional file 3 of Construction and optimization of gene expression signatures for prediction of survival in two-arm clinical trials

description: Additional file 3. LP CRC subtype centroids. Tab-separated-values text file containing the LP CRC subtype centroids.
DOI: 10.6084/m9.figshare.12720244.v1
title: Additional file 4 of Construction and optimization of gene expression signatures for prediction of survival in two-arm clinical trials

description: Additional file 4. CMS CRC subtype centroids. Tab-separated-values text file containing the CMS CRC subtype centroids.
DOI: 10.6084/m9.figshare.12720235
title: Additional file 1 of Construction and optimization of gene expression signatures for prediction of survival in two-arm clinical trials

description: Additional file 1. Data matrix of AFLAME gene expression profiles. Data matrix of AFLAME gene expression profiles in the form of quantile-normalized and batch-corrected log2(read count + 1) values, formatted as a {26,775 × 209} {genes × samples} matrix.
DOI: 10.6084/m9.figshare.12720238.v1
title: Additional file 2 of Construction and optimization of gene expression signatures for prediction of survival in two-arm clinical trials

description: Additional file 2. Companion metadata file for AFLAME study. Companion metadata file for AFLAME study with treatment arm, PFS times and censoring status indicated.
DOI: 10.6084/m9.figshare.12720241.v1
title: Additional file 3 of Construction and optimization of gene expression signatures for prediction of survival in two-arm clinical trials

description: Additional file 3. LP CRC subtype centroids. Tab-separated-values text file containing the LP CRC subtype centroids.
DOI: 10.6084/m9.figshare.12720235.v1
title: Additional file 1 of Construction and optimization of gene expression signatures for prediction of survival in two-arm clinical trials

description: Additional file 1. Data matrix of AFLAME gene expression profiles. Data matrix of AFLAME gene expression profiles in the form of quantile-normalized and batch-corrected log2(read count + 1) values, formatted as a {26,775 × 209} {genes × samples} matrix.
DOI: 10.6084/m9.figshare.12720215
title: Additional file 2 of The wheat pathogen Zymoseptoria tritici senses and responds to different wavelengths of light

description: Additional file 2. All genes that were differentially expressed in the six possible comparisons between the dark and three light treatments. Each tab contains the differentially expressed genes in a single comparison, where the first treatment listed is the one showing up regulation, e.g., White versus dark shows all genes that were significantly upregulated under white light compared to the dark at a significance level of p = 0.05 or less.
DOI: 10.6084/m9.figshare.12720215.v1
title: Additional file 2 of The wheat pathogen Zymoseptoria tritici senses and responds to different wavelengths of light

description: Additional file 2. All genes that were differentially expressed in the six possible comparisons between the dark and three light treatments. Each tab contains the differentially expressed genes in a single comparison, where the first treatment listed is the one showing up regulation, e.g., White versus dark shows all genes that were significantly upregulated under white light compared to the dark at a significance level of p = 0.05 or less.
DOI: 10.6084/m9.figshare.12720190
title: Additional file 2 of Correlation of drug resistance with single nucleotide variations through genome analysis and experimental validation in a multi-drug resistant clinical isolate of M. tuberculosis

description: Additional file 2. Complete list of Non-Synonymous SNV in VPCI591.
DOI: 10.6084/m9.figshare.12720190.v1
title: Additional file 2 of Correlation of drug resistance with single nucleotide variations through genome analysis and experimental validation in a multi-drug resistant clinical isolate of M. tuberculosis

description: Additional file 2. Complete list of Non-Synonymous SNV in VPCI591.
DOI: 10.6084/m9.figshare.12720172
title: Additional file 1 of Using the Cochrane Central Register of Controlled Trials to identify clinical trial registration is insufficient: a cross-sectional study

description: Additional file 1: Table S1. The details of the unidentified studies through searching CENTRAL (N = 47). Abbreviations: CENTRAL, Cochrane Central Register of Controlled Trials; ID, Identifier; ANZCTR, Australian New Zealand Clinical Trials Registry; ChiCTR, Chinese Clinical Trial Registry; ICTRP, International Clinical Trials Registry Platform; IRCT, Iranian Registry of Clinical Trials; ISRCTN, International Standard Randomized Controlled Trial Number Register; JPRN, Japan Primary Registries Network; NTR, The Netherlands National Trial Register; ReBEC, Brazilian Clinical Trials Registry.
DOI: 10.6084/m9.figshare.12720172.v1
title: Additional file 1 of Using the Cochrane Central Register of Controlled Trials to identify clinical trial registration is insufficient: a cross-sectional study

description: Additional file 1: Table S1. The details of the unidentified studies through searching CENTRAL (N = 47). Abbreviations: CENTRAL, Cochrane Central Register of Controlled Trials; ID, Identifier; ANZCTR, Australian New Zealand Clinical Trials Registry; ChiCTR, Chinese Clinical Trial Registry; ICTRP, International Clinical Trials Registry Platform; IRCT, Iranian Registry of Clinical Trials; ISRCTN, International Standard Randomized Controlled Trial Number Register; JPRN, Japan Primary Registries Network; NTR, The Netherlands National Trial Register; ReBEC, Brazilian Clinical Trials Registry.
DOI: 10.6084/m9.figshare.12720100
title: Additional file 7 of Neospora caninum infection induces an isolate virulence-dependent pro-inflammatory gene expression profile in bovine monocyte-derived macrophages

description: Additional file 7: Table S12. KEGG pathway analysis of differentially expressed genes in the comparison Nc-Spain1H-infected bovine macrophages versus non-infected macrophages. Table S13. KEGG pathway analysis of differentially expressed genes in the comparison Nc-Spain7-infected bovine macrophages versus non-infected macrophages. Table S14. KEGG pathway analysis of differentially expressed genes in the comparison bovine macrophages inoculated with heat-killed Neospora caninum tachyzoites versus non-infected macrophages.
DOI: 10.6084/m9.figshare.12720094
title: Additional file 5 of Neospora caninum infection induces an isolate virulence-dependent pro-inflammatory gene expression profile in bovine monocyte-derived macrophages

description: Additional file 5: Table S8. Gene ontology analysis (Biological process) of differentially expressed genes in the comparison Nc-Spain1H-infected bovine macrophages versus non-infected macrophages. Table S9. Gene ontology analysis (Biological process) of differentially expressed genes in the comparison Nc-Spain7-infected bovine macrophages versus non-infected macrophages. Table S10. Gene ontology analysis (Biological process) of differentially expressed genes in the comparison bovine macrophages inoculated with heat-killed Neospora caninum tachyzoites versus non-infected macrophages.
DOI: 10.6084/m9.figshare.12720100.v1
title: Additional file 7 of Neospora caninum infection induces an isolate virulence-dependent pro-inflammatory gene expression profile in bovine monocyte-derived macrophages

description: Additional file 7: Table S12. KEGG pathway analysis of differentially expressed genes in the comparison Nc-Spain1H-infected bovine macrophages versus non-infected macrophages. Table S13. KEGG pathway analysis of differentially expressed genes in the comparison Nc-Spain7-infected bovine macrophages versus non-infected macrophages. Table S14. KEGG pathway analysis of differentially expressed genes in the comparison bovine macrophages inoculated with heat-killed Neospora caninum tachyzoites versus non-infected macrophages.
DOI: 10.6084/m9.figshare.12720091
title: Additional file 4 of Neospora caninum infection induces an isolate virulence-dependent pro-inflammatory gene expression profile in bovine monocyte-derived macrophages

description: Additional file 4: Table S4.Bos taurus differentially expressed genes in bovine macrophages infected with Neospora caninum Nc-Spain1H isolate (MØ1H) versus non-infected macrophages (MØC). Table S5.Bos taurus differentially expressed genes in bovine macrophages infected with Neospora caninum Nc-Spain7 isolate (MØ7) versus non-infected macrophages (MØC). Table S6.Bos taurus differentially expressed genes in bovine macrophages inoculated with Neospora caninum heat-killed tachyzoites (MØHK) versus non-infected macrophages (MØC). Table S7.Bos taurus differentially expressed genes in bovine macrophages infected with Neospora caninum Nc-Spain7 isolate (MØ7) versus those infected with Nc-Spain1H isolate (MØ1H).
DOI: 10.6084/m9.figshare.12720088
title: Additional file 3 of Neospora caninum infection induces an isolate virulence-dependent pro-inflammatory gene expression profile in bovine monocyte-derived macrophages

description: Additional file 3: Table S3. RNA-seq results for Bos taurus genes in bovine macrophages inoculated with Neospora caninum Nc-Spain1H (MØ1H), Nc-Spain7 (MØ7), heat-killed tachyzoites (MØHK), and in non-infected macrophages (MØC).
DOI: 10.6084/m9.figshare.12720091.v1
title: Additional file 4 of Neospora caninum infection induces an isolate virulence-dependent pro-inflammatory gene expression profile in bovine monocyte-derived macrophages

description: Additional file 4: Table S4.Bos taurus differentially expressed genes in bovine macrophages infected with Neospora caninum Nc-Spain1H isolate (MØ1H) versus non-infected macrophages (MØC). Table S5.Bos taurus differentially expressed genes in bovine macrophages infected with Neospora caninum Nc-Spain7 isolate (MØ7) versus non-infected macrophages (MØC). Table S6.Bos taurus differentially expressed genes in bovine macrophages inoculated with Neospora caninum heat-killed tachyzoites (MØHK) versus non-infected macrophages (MØC). Table S7.Bos taurus differentially expressed genes in bovine macrophages infected with Neospora caninum Nc-Spain7 isolate (MØ7) versus those infected with Nc-Spain1H isolate (MØ1H).
DOI: 10.6084/m9.figshare.12720094.v1
title: Additional file 5 of Neospora caninum infection induces an isolate virulence-dependent pro-inflammatory gene expression profile in bovine monocyte-derived macrophages

description: Additional file 5: Table S8. Gene ontology analysis (Biological process) of differentially expressed genes in the comparison Nc-Spain1H-infected bovine macrophages versus non-infected macrophages. Table S9. Gene ontology analysis (Biological process) of differentially expressed genes in the comparison Nc-Spain7-infected bovine macrophages versus non-infected macrophages. Table S10. Gene ontology analysis (Biological process) of differentially expressed genes in the comparison bovine macrophages inoculated with heat-killed Neospora caninum tachyzoites versus non-infected macrophages.
DOI: 10.6084/m9.figshare.12720088.v1
title: Additional file 3 of Neospora caninum infection induces an isolate virulence-dependent pro-inflammatory gene expression profile in bovine monocyte-derived macrophages

description: Additional file 3: Table S3. RNA-seq results for Bos taurus genes in bovine macrophages inoculated with Neospora caninum Nc-Spain1H (MØ1H), Nc-Spain7 (MØ7), heat-killed tachyzoites (MØHK), and in non-infected macrophages (MØC).
DOI: 10.6084/m9.figshare.12720070
title: Additional file 1 of Foods contributing to nutrients intake and assessment of nutritional status in pre-dialysis patients: a cross-sectional study

description: Additional file 1: Supplement table 1. Major food sources contributing to energy and nutrients intakes in all CKD patients (n = 256). Supplement table 2. Major food sources contributing to energy and nutrients intakes in DM-CKD groups (n = 107). Supplement table 3. Major food sources contributing to energy and nutrients intakes in Non-DM-CKD groups (n = 149). Supplement table 4. Bioelectrical impedance analysis (BIA) measurement of the male subjects according to tertiles of protein intake. Supplement table 5. Bioelectrical impedance analysis (BIA) measurement of the female subjects according to tertiles of protein intake. Supplement table 6. Bioelectrical impedance analysis (BIA) measurement of the male subjects according to low-protein diet (
DOI: 10.6084/m9.figshare.12720070.v1
title: Additional file 1 of Foods contributing to nutrients intake and assessment of nutritional status in pre-dialysis patients: a cross-sectional study

description: Additional file 1: Supplement table 1. Major food sources contributing to energy and nutrients intakes in all CKD patients (n = 256). Supplement table 2. Major food sources contributing to energy and nutrients intakes in DM-CKD groups (n = 107). Supplement table 3. Major food sources contributing to energy and nutrients intakes in Non-DM-CKD groups (n = 149). Supplement table 4. Bioelectrical impedance analysis (BIA) measurement of the male subjects according to tertiles of protein intake. Supplement table 5. Bioelectrical impedance analysis (BIA) measurement of the female subjects according to tertiles of protein intake. Supplement table 6. Bioelectrical impedance analysis (BIA) measurement of the male subjects according to low-protein diet (
DOI: 10.6084/m9.figshare.12720026
title: Additional file 4 of Stacked genetically modified soybean harboring herbicide resistance and insecticide rCry1Ac shows strong defense and redox homeostasis disturbance after glyphosate-based herbicide application

description: Additional file 4. Single-transgene Treated vs. Control up-regulated DEGs in enriched KEGG pathways.
DOI: 10.6084/m9.figshare.12720020
title: Additional file 2 of Stacked genetically modified soybean harboring herbicide resistance and insecticide rCry1Ac shows strong defense and redox homeostasis disturbance after glyphosate-based herbicide application

description: Additional file 2. Quantitative Real-Time PCR (qRT-PCR) validation of DEGs from RNA-Seq results.
DOI: 10.6084/m9.figshare.12720023
title: Additional file 3 of Stacked genetically modified soybean harboring herbicide resistance and insecticide rCry1Ac shows strong defense and redox homeostasis disturbance after glyphosate-based herbicide application

description: Additional file 3. DEG list for the herbicide-treated single-transgene variety.
DOI: 10.6084/m9.figshare.12720020.v1
title: Additional file 2 of Stacked genetically modified soybean harboring herbicide resistance and insecticide rCry1Ac shows strong defense and redox homeostasis disturbance after glyphosate-based herbicide application

description: Additional file 2. Quantitative Real-Time PCR (qRT-PCR) validation of DEGs from RNA-Seq results.
DOI: 10.6084/m9.figshare.12720023.v1
title: Additional file 3 of Stacked genetically modified soybean harboring herbicide resistance and insecticide rCry1Ac shows strong defense and redox homeostasis disturbance after glyphosate-based herbicide application

description: Additional file 3. DEG list for the herbicide-treated single-transgene variety.
DOI: 10.6084/m9.figshare.12720026.v1
title: Additional file 4 of Stacked genetically modified soybean harboring herbicide resistance and insecticide rCry1Ac shows strong defense and redox homeostasis disturbance after glyphosate-based herbicide application

description: Additional file 4. Single-transgene Treated vs. Control up-regulated DEGs in enriched KEGG pathways.
DOI: 10.6084/m9.figshare.12720017
title: Additional file 1 of Stacked genetically modified soybean harboring herbicide resistance and insecticide rCry1Ac shows strong defense and redox homeostasis disturbance after glyphosate-based herbicide application

description: Additional file 1. Native and transgenic EPSPS genes and primer sequences used for Quantitative Real-Time PCR experiment.
DOI: 10.6084/m9.figshare.12720017.v1
title: Additional file 1 of Stacked genetically modified soybean harboring herbicide resistance and insecticide rCry1Ac shows strong defense and redox homeostasis disturbance after glyphosate-based herbicide application

description: Additional file 1. Native and transgenic EPSPS genes and primer sequences used for Quantitative Real-Time PCR experiment.
DOI: 10.6084/m9.figshare.12719999
title: Additional file 8 of Characterization of genetic and phenotypic heterogeneity of obstructive sleep apnea using electronic health records

description: Additional file 8. Table S7. Significant Results from Phenome-wide Studies Testing the Associations between Obstructive Sleep Apnoea Candidate SNPs and Other Clinical Codes and Lab Values.