cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22678374.v1
title: Additional file 2 of Microbiota-mediated nitrogen fixation and microhabitat homeostasis in aerial root-mucilage

description: Additional file 2: Table S1. Relative content of different compounds and carbohydrates of aerial root mucilage (ARM) and underground root exudate (URE) Table S2. Fungal and bacterial OTU of different samples. Table S3. Differentially bacterial and fungal genera of rhizosphere and mucilage. Table S4. Cultured bacteria and their nitrogen-fixing capacity. Table S5. Plant nitrogen enrichment, natural abundance, nitrogencontent, length and dry weight analysis. Table S6. Results of plant genome sequencing, assembly, and annotation. Table S7. GO and KEGG enrichment of differential sample. Table S8. Candidates for follow-up experiments in mucilage compounds. Table S9. The mucilage compounds for anti-microbe activity test. Table S10. Antagonism of F-XTBG8 against different fungi and bacteria.  Table S11. Fungal genome was detected and expressed (reads FPKM&gt;10) in different tissues of the plant. Table S12. Different metabolites analysis for monocultivation of C. raphigera (Cr) and cocultivation with environmental fungi. Table S13. Record of mucilage production and meteorological factors.
DOI: 10.6084/m9.figshare.13245826
title: Additional file 1 of A phenome-wide association study of ABO blood groups

description: Additional file 1: Table S1. ABO blood group antigens and corresponding tag SNPs. Table S2. The associations of four tag SNPs for ABO blood group antigens with 3873 phenotypes. Table S3. The number of binary phenotypes and characteristics of their cases by disease category. Table S4. The number of continuous and categorical ordered phenotypes included and characteristics of their sample sizes in each category. Table S5. Comparison between study results and replication results.
DOI: 10.6084/m9.figshare.7478804.v1
title: MOESM3 of Circular RNA regulatory network reveals cellâ cell crosstalk in acute myeloid leukemia extramedullary infiltration

description: Additional file 3: Table S3. GO analysis of upregulated genes between EMI and non-EMI AML samples.
DOI: 10.5281/zenodo.4742000
title: All's well that ends well: an early-phase study testing lower end-session exercise intensity to promote physical activity in patients with Parkinson's disease

description: This dataset includes: 1) materials (in French) 2) workbook 3) self-reported data (i.e., questionnaires) - "data_selfreport_zen.csv" & "data_SRPA_zen.csv" 4) E-prime data (i.e., Implicit association test) - "data_IAT_zen.csv" 5) accelerometer-based data - "data_accePA_zen.csv"
DOI: 10.5281/zenodo.10634156
title: Managing LimeSurvey Data Using R

description: A template for managing LimeSurvey data using R.

You will find:



The dataset "20240208_emap_LimeSurvey_R_data_file.csv"

The .Rmd file containing the script "RMarkdown_LimeSurvey_Template.Rmd"

The .html file of the .Rmd file "RMarkdown_LimeSurvey_Template.html"


The dataset comes from the "Promoting Physical Activity in People With Chronic Diseases: The Role of Affective Mechanisms" project.
DOI: 10.5281/zenodo.10634157
title: Managing LimeSurvey Data Using R

description: A template for managing LimeSurvey data using R.

You will find:



The dataset "20240208_emap_LimeSurvey_R_data_file.csv"

The .Rmd file containing the script "RMarkdown_LimeSurvey_Template.Rmd"

The .html file of the .Rmd file "RMarkdown_LimeSurvey_Template.html"


The dataset comes from the "Promoting Physical Activity in People With Chronic Diseases: The Role of Affective Mechanisms" project.
DOI: 10.6084/m9.figshare.16918061
title: LsrB, the hub of ABC transporters involved in the membrane damage mechanisms of heavy ion irradiation in <i>Escherichia coli</i>

description: Ionizing radiation, especially heavy ion (HI) beams, has been widely used in biology and medicine. However, the mechanism of membrane damage by such radiation remains primarily uncharacterized. Transcriptomic profiles of <i>Escherichia coli</i> (<i>E. coli</i>) treated with HI illustrated the response mechanisms of the membrane, mainly ABC transporters, related genes regulated by antibiotics treatment through enrichment analyses of GO and KEGG. The networks of protein–protein interactions indicated that LsrB was the crucial one among the ABC transporters specially regulated by HI through the calculation of plugins MCODE and cytoHubba of Cytoscape. Finally, the expression pattern, GO/KEGG enrichment terms, and the interaction between nine LuxS/AI-2 quorum sensing system members were investigated. Above all, results suggested that HI might perform membrane damage through regulated material transport, inhibited LuxS/AI-2 system, finally impeded biofilm formation. This work provides further evidence for the role of ABC transporters, especially LsrB, in membrane damage of <i>E. coli</i> to HI. It will provide new strategies for improving the precise application of HI.
DOI: 10.6084/m9.figshare.13245863
title: Additional file 2 of DNA methylation signature in blood mirrors successful weight-loss during lifestyle interventions: the CENTRAL trial

description: Additional file 2: Supplementary Tables S1-S10. Table S1. Full list of discriminating DMRs (responder vs. non-responder) - T0. Table S2. Full list of discriminating DMRs (responder vs. non-responder) - T18. Table S3. Full list of discriminating DMRs (responder vs. non-responder) – from combined datasets T0 and T18. Table S4. Candidate genes from GWAS and methylation differences in adipose tissue. Table S5. Gene ontology enrichment analysis. Table S6. Full list of intervention specific CpGs. Table S7. Full list of intervention specific DMRs. Table S8. Full list of EWAS CpGs for weight-change. Table S9. Phenotype associations for CpGs from baseline EWAS. Table S10. Phenotype associations for CpGs from DMRs (responder vs. non-responder).
DOI: 10.6084/m9.figshare.20057439.v1
title: Additional file 1 of Role of circulating polyunsaturated fatty acids on cardiovascular diseases risk: analysis using Mendelian randomization and fatty acid genetic association data from over 114,000 UK Biobank participants

description: Additional file 1: Supplementary Tables S1–S11.
DOI: 10.24403/jp.1329111
title: Exkursion in die Umgebung von Eisenberg am 24. Mai 1987 / H.-J. Zündorf, E. Gehroldt
DOI: 10.24403/jp.1329115
title: Exkursion in den Spaaler Forst bei Neckeroda und in den Reinstädter Grund am 31. Mai 1987 / D. Weber
DOI: 10.6084/m9.figshare.20581086
title: Additional file 3 of A pan-Zea genome map for enhancing maize improvement

description: Additional file 3: Table S2. Public genome assemblies used in the pan-Zea genome construction.
DOI: 10.24403/jp.1329122
title: Exkursion in die Thüringische Rhön am 14. Juni 1987 / H.-J. Zündorf
DOI: 10.24403/jp.1329125
title: Exkursion in das Gebiet um Stützerbach und Schmiedefeld im Thüringer Wald am 21. Juni 1987 / L. Meinunger
DOI: 10.6084/m9.figshare.13245904
title: Additional file 13 of A comprehensive analysis of cotton VQ gene superfamily reveals their potential and extensive roles in regulating cotton abiotic stress

description: Additional file 13: Table S6. Expression levels of GhVQs and GbVQs. The gene expression was determined by RNA-Seq data (FPKM).
DOI: 10.6084/m9.figshare.13245931
title: Additional file 7 of A comprehensive analysis of cotton VQ gene superfamily reveals their potential and extensive roles in regulating cotton abiotic stress

description: Additional file 7: Table S3. The list of paralogous VQ gene pairs in each of other examined species.
DOI: 10.6084/m9.figshare.13245919.v1
title: Additional file 3 of A comprehensive analysis of cotton VQ gene superfamily reveals their potential and extensive roles in regulating cotton abiotic stress

description: Additional file 3: Table S2. The number of VQ genes in the 15 plant genomes.
DOI: 10.6084/m9.figshare.13245931.v1
title: Additional file 7 of A comprehensive analysis of cotton VQ gene superfamily reveals their potential and extensive roles in regulating cotton abiotic stress

description: Additional file 7: Table S3. The list of paralogous VQ gene pairs in each of other examined species.
DOI: 10.6084/m9.figshare.22683189
title: A unified discharge capacity formula of clogged grate inlets

description: To investigate the influence of different clogging degrees of a street inlet on its discharge capacity, an experimental campaign with the clogging degree of inlet grate and connection tube varying from 0.0 to 0.75 were conducted in a double-layer flume platform with a horizontal bottom. A total of 608 experimental runs were conducted in a subcritical state, with the inflow discharge and surface water depth varying from 24 L/s to 45 L/s and from 0.022 m to 0.38 m, respectively. To facilitate the application of the unified formula under different clogging scenarios, a parameter termed the clogging decay coefficient was introduced. The relationship between clogging decay coefficient and clogging degree was proposed respectively for the clogging of grate and connection tube. The proposed unified formula has several advantages, including a simple structure, a better accuracy, and without the necessity to select different discharge coefficients.
DOI: 10.24403/jp.1329129
title: Exkursion in den Nordosten des Thüringer Schiefergebirges am 12. Juli 1987 / H.-J. Zündorf
DOI: 10.6084/m9.figshare.13245919
title: Additional file 3 of A comprehensive analysis of cotton VQ gene superfamily reveals their potential and extensive roles in regulating cotton abiotic stress

description: Additional file 3: Table S2. The number of VQ genes in the 15 plant genomes.
DOI: 10.6084/m9.figshare.13245937
title: Additional file 9 of A comprehensive analysis of cotton VQ gene superfamily reveals their potential and extensive roles in regulating cotton abiotic stress

description: Additional file 9: Table S4. The duplicated type of VQs in Gossypium spp. The 0 to 4 indicate the singleton, dispersed, proximal, tandem, WGD duplication types, respectively.
DOI: 10.6084/m9.figshare.22683189.v1
title: A unified discharge capacity formula of clogged grate inlets

description: To investigate the influence of different clogging degrees of a street inlet on its discharge capacity, an experimental campaign with the clogging degree of inlet grate and connection tube varying from 0.0 to 0.75 were conducted in a double-layer flume platform with a horizontal bottom. A total of 608 experimental runs were conducted in a subcritical state, with the inflow discharge and surface water depth varying from 24 L/s to 45 L/s and from 0.022 m to 0.38 m, respectively. To facilitate the application of the unified formula under different clogging scenarios, a parameter termed the clogging decay coefficient was introduced. The relationship between clogging decay coefficient and clogging degree was proposed respectively for the clogging of grate and connection tube. The proposed unified formula has several advantages, including a simple structure, a better accuracy, and without the necessity to select different discharge coefficients.
DOI: 10.24403/jp.1329131
title: Exkursion nördlich der Gleichberge am Rande des Grabfeldes am 2. August 1987 / P. Heerlein
DOI: 10.6084/m9.figshare.13245910.v1
title: Additional file 15 of A comprehensive analysis of cotton VQ gene superfamily reveals their potential and extensive roles in regulating cotton abiotic stress

description: Additional file 15: Table S8. Primers used for qPCR analyses of GhVQs.
DOI: 10.6084/m9.figshare.13245913.v1
title: Additional file 1 of A comprehensive analysis of cotton VQ gene superfamily reveals their potential and extensive roles in regulating cotton abiotic stress

description: Additional file 1: Table S1. Summaries of VQ genes members in Gossypium.
DOI: 10.6084/m9.figshare.7478897.v1
title: Additional file 1: of Prognostic values of S100 family members in ovarian cancer patients

description: Table S1. The mRNA expression of some S100 family members is of no apparent prognostic significance in all ovarian cancer patients. Abbreviations: exp.: expression; OS: overall survival; HR: hazard ratio; CI: confidence interval; Table S2. The mRNA expression of some S100 family members is of no apparent prognostic significance in all serous ovarian cancer patients. Abbreviations: exp.: expression; OS: overall survival; HR: hazard ratio; CI: confidence interval; Table S3. The mRNA expression of some S100 family members is of no apparent prognostic significance in all endometrioid ovarian cancer patients. Abbreviations: exp.: expression; OS: overall survival; HR: hazard ratio; CI: confidence interval; Table S4. Prognostic value of mRNA expression of S100 family members in ovarian cancer patients with optimal or suboptimal surgery. Abbreviations: exp. -expression, HR-hazard ratio, CI-confidence intervals; Table S5. Prognostic value of mRNA expression of S100 family members in ovarian cancer patients with chemotherapy. Abbreviations: exp. -expression, HR-hazard ratio, CI-confidence intervals; Table S6. The mRNA expression levels of S100 family members in ovarian normal vs. tumor patients. Abbreviations: Min-minimal expression level, Q1-one quarter, Q3-three quarter, Max-max expression level, n-number (XLSX 29 kb)
DOI: 10.6084/m9.figshare.7478804
title: MOESM3 of Circular RNA regulatory network reveals cellâ cell crosstalk in acute myeloid leukemia extramedullary infiltration

description: Additional file 3: Table S3. GO analysis of upregulated genes between EMI and non-EMI AML samples.
DOI: 10.6084/m9.figshare.7478906.v1
title: Additional file 4: of Prognostic values of S100 family members in ovarian cancer patients

description: Table S8. Differential expression of S100 family members in normal and tumor tissues across 31 tumor types from the TCGA and GTEx data. Abbreviations: exp. -expression, n-number. (XLSX 16 kb)
DOI: 10.6084/m9.figshare.14294533
title: Diagnostic accuracy of nasopharyngeal swab, nasal swab and saliva swab samples for the detection of SARS-CoV-2 using RT-PCR

description: The current gold standard in coronavirus disease (COVID-19) diagnostics is the real-time reverse transcription–polymerase chain reaction (RT-PCR) assay for detecting severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA in nasopharyngeal swab (NPS) samples. Alternatively, nasal swab (NS) or saliva swab (SS) specimens are used, although available data on test accuracy are limited. We examined the diagnostic accuracy of NPS/NS/SS samples for this purpose. Ten patients were included after being tested positive for SARS-CoV-2 RT-PCR in NPS samples according to the National Institute of Infectious Disease guidelines. In comparison with this conventional diagnostic method, NPS/NS/SS samples were tested using the cobas 6800 systems RT-PCR device. To investigate the usefulness of the cobas method and the difference among sample types, the agreement and sensitivity were calculated. Five to six samples were collected over a total period of 5–6 d from each patient. Fifty-seven sets of NPS/NS/SS samples were collected, of which 40 tested positive for COVID-19 by the conventional method. Overall, the concordance rates using the conventional method were 86.0%/70.2%/54.4% for NPS/NS/SS samples (cobas); however, for samples collected up to and including on Day 9 after disease onset (22 negative and one positive specimens), the corresponding rates were 95.7%/87.0%/65.2%. The overall sensitivity estimates were 100.0%/67.5%/37.5% for NPS/NS/SS samples (cobas). For samples up to 9 d after onset, the corresponding values were 100.0%/86.4%/63.6%. NS samples are more reliable than SS samples and can be an alternative to NPS samples. They can be a useful diagnostic method in the future.
DOI: 10.6084/m9.figshare.7478807
title: MOESM4 of Circular RNA regulatory network reveals cellâ cell crosstalk in acute myeloid leukemia extramedullary infiltration

description: Additional file 4: Table S4. GO analysis of downregulated genes between EMI and non-EMI AML samples.
DOI: 10.6084/m9.figshare.7478906
title: Additional file 4: of Prognostic values of S100 family members in ovarian cancer patients

description: Table S8. Differential expression of S100 family members in normal and tumor tissues across 31 tumor types from the TCGA and GTEx data. Abbreviations: exp. -expression, n-number. (XLSX 16 kb)
DOI: 10.6084/m9.figshare.13245937.v1
title: Additional file 9 of A comprehensive analysis of cotton VQ gene superfamily reveals their potential and extensive roles in regulating cotton abiotic stress

description: Additional file 9: Table S4. The duplicated type of VQs in Gossypium spp. The 0 to 4 indicate the singleton, dispersed, proximal, tandem, WGD duplication types, respectively.
DOI: 10.6084/m9.figshare.14294533.v1
title: Diagnostic accuracy of nasopharyngeal swab, nasal swab and saliva swab samples for the detection of SARS-CoV-2 using RT-PCR

description: The current gold standard in coronavirus disease (COVID-19) diagnostics is the real-time reverse transcription–polymerase chain reaction (RT-PCR) assay for detecting severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA in nasopharyngeal swab (NPS) samples. Alternatively, nasal swab (NS) or saliva swab (SS) specimens are used, although available data on test accuracy are limited. We examined the diagnostic accuracy of NPS/NS/SS samples for this purpose. Ten patients were included after being tested positive for SARS-CoV-2 RT-PCR in NPS samples according to the National Institute of Infectious Disease guidelines. In comparison with this conventional diagnostic method, NPS/NS/SS samples were tested using the cobas 6800 systems RT-PCR device. To investigate the usefulness of the cobas method and the difference among sample types, the agreement and sensitivity were calculated. Five to six samples were collected over a total period of 5–6 d from each patient. Fifty-seven sets of NPS/NS/SS samples were collected, of which 40 tested positive for COVID-19 by the conventional method. Overall, the concordance rates using the conventional method were 86.0%/70.2%/54.4% for NPS/NS/SS samples (cobas); however, for samples collected up to and including on Day 9 after disease onset (22 negative and one positive specimens), the corresponding rates were 95.7%/87.0%/65.2%. The overall sensitivity estimates were 100.0%/67.5%/37.5% for NPS/NS/SS samples (cobas). For samples up to 9 d after onset, the corresponding values were 100.0%/86.4%/63.6%. NS samples are more reliable than SS samples and can be an alternative to NPS samples. They can be a useful diagnostic method in the future.
DOI: 10.6084/m9.figshare.7478807.v1
title: MOESM4 of Circular RNA regulatory network reveals cellâ cell crosstalk in acute myeloid leukemia extramedullary infiltration

description: Additional file 4: Table S4. GO analysis of downregulated genes between EMI and non-EMI AML samples.
DOI: 10.6084/m9.figshare.13246090
title: Table S11 from Identification of candidate genes controlling chilling tolerance of rice in the cold region at the booting stage by BSA-Seq and RNA-Seq

description: Rice is sensitive to low temperatures, specifically at the booting stage. Chilling tolerance of rice is a quantitative trait loci that is governed by multiple genes, and thus, its precise identification through the conventional methods is an arduous task. In this study, we investigated the candidate genes related to chilling tolerance at the booting stage of rice. The F2 population was derived from Longjing25 (chilling-tolerant) and Longjing11 (chilling-sensitive) cross. Two bulked segregant analysis pools were constructed. A 0.82 Mb region containing 98 annotated genes on chromosomes 6 and 9 was recognized as the candidate region associated with chilling tolerance of rice at the booting stage. Transcriptomic analysis of Longjing25 and Longjing11 revealed 50 differentially expressed genes (DEGs) on the candidate intervals. KEGG pathway enrichment analysis of DEGs was performed. Nine pathways were found to be enriched, which contained 10 DEGs. A total of four genes had different expression patterns or levels between Longjing25 and Longjing11. Four out of the 10 DEGs were considered as potential candidate genes for chilling tolerance. This study will assist in the cloning of the candidate genes responsible for chilling tolerance and molecular breeding of rice for the development of chilling-tolerant rice varieties.
DOI: 10.6084/m9.figshare.13246102
title: Table S1 from Identification of candidate genes controlling chilling tolerance of rice in the cold region at the booting stage by BSA-Seq and RNA-Seq

description: Rice is sensitive to low temperatures, specifically at the booting stage. Chilling tolerance of rice is a quantitative trait loci that is governed by multiple genes, and thus, its precise identification through the conventional methods is an arduous task. In this study, we investigated the candidate genes related to chilling tolerance at the booting stage of rice. The F2 population was derived from Longjing25 (chilling-tolerant) and Longjing11 (chilling-sensitive) cross. Two bulked segregant analysis pools were constructed. A 0.82 Mb region containing 98 annotated genes on chromosomes 6 and 9 was recognized as the candidate region associated with chilling tolerance of rice at the booting stage. Transcriptomic analysis of Longjing25 and Longjing11 revealed 50 differentially expressed genes (DEGs) on the candidate intervals. KEGG pathway enrichment analysis of DEGs was performed. Nine pathways were found to be enriched, which contained 10 DEGs. A total of four genes had different expression patterns or levels between Longjing25 and Longjing11. Four out of the 10 DEGs were considered as potential candidate genes for chilling tolerance. This study will assist in the cloning of the candidate genes responsible for chilling tolerance and molecular breeding of rice for the development of chilling-tolerant rice varieties.
DOI: 10.6084/m9.figshare.7478900.v1
title: Additional file 2: of Prognostic values of S100 family members in ovarian cancer patients

description: Table S7. Patient numbers of low or high mRNA expression of S100 family members in different clinical and pathological features. Abbreviations: exp. -expression, n-number. (XLSX 41 kb)
DOI: 10.6084/m9.figshare.13246081
title: Table S4 from Identification of candidate genes controlling chilling tolerance of rice in the cold region at the booting stage by BSA-Seq and RNA-Seq

description: Rice is sensitive to low temperatures, specifically at the booting stage. Chilling tolerance of rice is a quantitative trait loci that is governed by multiple genes, and thus, its precise identification through the conventional methods is an arduous task. In this study, we investigated the candidate genes related to chilling tolerance at the booting stage of rice. The F2 population was derived from Longjing25 (chilling-tolerant) and Longjing11 (chilling-sensitive) cross. Two bulked segregant analysis pools were constructed. A 0.82 Mb region containing 98 annotated genes on chromosomes 6 and 9 was recognized as the candidate region associated with chilling tolerance of rice at the booting stage. Transcriptomic analysis of Longjing25 and Longjing11 revealed 50 differentially expressed genes (DEGs) on the candidate intervals. KEGG pathway enrichment analysis of DEGs was performed. Nine pathways were found to be enriched, which contained 10 DEGs. A total of four genes had different expression patterns or levels between Longjing25 and Longjing11. Four out of the 10 DEGs were considered as potential candidate genes for chilling tolerance. This study will assist in the cloning of the candidate genes responsible for chilling tolerance and molecular breeding of rice for the development of chilling-tolerant rice varieties.