cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.7803062.v1
title: Seismic traces recorded by station MZ13

description: Seismic traces in binary MiniSeed format recorded by station MZ13. The daily records are separated in folders representing the channels: EHE.D, EHN.D, EHZ.D for the velocimetric data and HNE.D, HNN.D and HNZ.D for the accelerometric data. Both velocimetric and accelerometric data are available from September 20, 2016 to October 14, 2016.
DOI: 10.6084/m9.figshare.7803059.v1
title: Seismic traces recorded by station MZ12

description: Seismic traces in binary MiniSeed format recorded by station MZ12. The daily records are separated in folders representing the channels: EHE.D, EHN.D, EHZ.D for the velocimetric data and HNE.D, HNN.D and HNZ.D for the accelerometric data. Both velocimetric and accelerometric data are available from September 20, 2016 to November 17, 2016.
DOI: 10.6084/m9.figshare.7803005
title: Optimality Benchmark for Combinatorial Optimization

description: This dataset is an optimality benchmark for 1 synthetic 3 real-world application scenarios:<br>1. A synthetic dataset2. Residential energy consumption3. Bike sharing4. Charging control of electric vehicles<br>The dataset consists of 1 million random network positioning of agents in a binary tree, which are used in the collective learning algorithm of I-EPOS to explore the learning capacity of the combinatorial landscape. This dataset can be used as reference of other heuristic algorithms and enhancements. <br>Besides random positioning, the dataset comes with 124 metrics that evaluate deterministic criteria for the agents' positioning. <br><br><br>
DOI: 10.6084/m9.figshare.7803017.v1
title: Ex-ante Online Risk Assessment for Building Emergency Evacuation through Multimedia Data.zip

description: The data is Supporting material for the paper Ex-ante Online Risk Assessment for Building Emergency Evacuation through Multimedia Data
DOI: 10.6084/m9.figshare.7803035.v1
title: Supplementary Material for: Patient, Family, and Center-Based Factors Associated with Attrition in Neonatal Clinical Research: A Prospective Study

description: <b><i>Background:</i></b> Attrition, or loss to follow-up, presents a significant threat to the integrity and validity of longitudinal clinical research. Little is known about predictors of attrition in neonatal clinical research, and no prior studies have examined how families’ experiences participating in research with their infants influences study compliance. <b><i>Objective:</i></b> To identify novel factors that were associated with attrition over 1 year of study follow-up among preterm infants enrolled in the multicenter Prematurity and Respiratory Outcomes Program (PROP) observational study. <b><i>Methods:</i></b> At discharge, research coordinators estimated the likelihood of attrition. The parents completed questionnaires about their experience with the study at discharge and at 1 year corrected age. The primary endpoint was completion of 4 PROP interviews during the first year. Logistic models were used to evaluate the associations between infant, family, and center-based characteristics and attrition. <b><i>Results:</i></b> Among 318 children, 283 (89%) met the primary endpoint. In bivariate analyses, lower maternal education, more people in the household, public insurance, and site were associated with attrition (<i>p</i> &lt; 0.05). Parent survey responses, infant characteristics, and site characteristics were unrelated to attrition. Coordinators’ prediction of attrition was associated with completion of early study interviews; this effect waned over time. In multivariable analyses, lower maternal education and more people in the household were the factors most strongly associated with attrition. <b><i>Conclusion:</i></b> Future neonatal research should evaluate novel strategies to decrease the burden associated with study participation and reinforcement of study goals with families who have lower educational levels to facilitate participation and decrease attrition bias.
DOI: 10.6084/m9.figshare.7803005.v2
title: Optimality Benchmark for Combinatorial Optimization

description: This dataset is an optimality benchmark for 1 synthetic 3 real-world application scenarios:<br>1. A synthetic dataset2. Residential energy consumption3. Bike sharing4. Charging control of electric vehicles<br>The dataset consists of 1 million random network positioning of agents in a binary tree, which are used in the collective learning algorithm of I-EPOS to explore the learning capacity of the combinatorial landscape. This dataset can be used as reference of other heuristic algorithms and enhancements.
DOI: 10.6084/m9.figshare.7802939
title: Additional file 9: of In silico analysis of fungal small RNA accumulation reveals putative plant mRNA targets in the symbiosis between an arbuscular mycorrhizal fungus and its host plant

description: List of oligonucleotide used in qRT-PCR assays. (XLSX 46 kb)
DOI: 10.6084/m9.figshare.7802933
title: Additional file 8: of In silico analysis of fungal small RNA accumulation reveals putative plant mRNA targets in the symbiosis between an arbuscular mycorrhizal fungus and its host plant

description: Results of DE analysis of sRNA reads originated from Mtr-mRNAs for identification of mycorrhizal induced secondary siRNAs. We reported only the transcripts with a significant increase in number of mapped sRNAs reads in RM (mycorrhizal roots) compared to RC (non-mycorrhizal roots) condition (log2FoldChange &gt; 0, padj
DOI: 10.6084/m9.figshare.7802933.v1
title: Additional file 8: of In silico analysis of fungal small RNA accumulation reveals putative plant mRNA targets in the symbiosis between an arbuscular mycorrhizal fungus and its host plant

description: Results of DE analysis of sRNA reads originated from Mtr-mRNAs for identification of mycorrhizal induced secondary siRNAs. We reported only the transcripts with a significant increase in number of mapped sRNAs reads in RM (mycorrhizal roots) compared to RC (non-mycorrhizal roots) condition (log2FoldChange &gt; 0, padj
DOI: 10.6084/m9.figshare.7802939.v1
title: Additional file 9: of In silico analysis of fungal small RNA accumulation reveals putative plant mRNA targets in the symbiosis between an arbuscular mycorrhizal fungus and its host plant

description: List of oligonucleotide used in qRT-PCR assays. (XLSX 46 kb)
DOI: 10.6084/m9.figshare.7802924
title: Additional file 7: of In silico analysis of fungal small RNA accumulation reveals putative plant mRNA targets in the symbiosis between an arbuscular mycorrhizal fungus and its host plant

description: Prediction results for Mtr-mRNAs that are targeted by both Rir-sRNAs and Mtr-miRNAs according to sPARTA analysis. (XLSX 9 kb)
DOI: 10.6084/m9.figshare.7802915
title: Additional file 6: of In silico analysis of fungal small RNA accumulation reveals putative plant mRNA targets in the symbiosis between an arbuscular mycorrhizal fungus and its host plant

description: Results of Mtr-miRNA – Mtr-mRNA target prediction performed with sPARTA. We added the description of targets to the filtered software output file. (XLSX 35 kb)
DOI: 10.6084/m9.figshare.7802909
title: Additional file 5: of In silico analysis of fungal small RNA accumulation reveals putative plant mRNA targets in the symbiosis between an arbuscular mycorrhizal fungus and its host plant

description: Results of Rir-sRNA – Mtr-mRNA target prediction performed with sPARTA. We added at the filtered software output file the information about the number of sRNA reads, the length of sRNAs (nt),the description of targets and the names of the sRNA-generating loci that produce the sRNAs. (XLSX 47 kb)
DOI: 10.6084/m9.figshare.7802924.v1
title: Additional file 7: of In silico analysis of fungal small RNA accumulation reveals putative plant mRNA targets in the symbiosis between an arbuscular mycorrhizal fungus and its host plant

description: Prediction results for Mtr-mRNAs that are targeted by both Rir-sRNAs and Mtr-miRNAs according to sPARTA analysis. (XLSX 9 kb)
DOI: 10.6084/m9.figshare.7802915.v1
title: Additional file 6: of In silico analysis of fungal small RNA accumulation reveals putative plant mRNA targets in the symbiosis between an arbuscular mycorrhizal fungus and its host plant

description: Results of Mtr-miRNA – Mtr-mRNA target prediction performed with sPARTA. We added the description of targets to the filtered software output file. (XLSX 35 kb)
DOI: 10.6084/m9.figshare.7802900
title: Additional file 4: of In silico analysis of fungal small RNA accumulation reveals putative plant mRNA targets in the symbiosis between an arbuscular mycorrhizal fungus and its host plant

description: Characterization of sRNA-generating loci. For each of the predicted 2131 sRNA-generating loci we reported: the name, the genome coordinates, the miRNA prediction result, the possible overlap with protein-coding genes (reported with JGI protein ID), the differential expression analysis results of differential expression analysis, the length, the number of mapped sRNA reads, the eventual ID of homologous loci from RepBase (when available), the results of DBSCAN clustering, the proportion of mapped sRNA reads of each length (from 18 nt to 35 nt). (XLSX 442 kb)
DOI: 10.6084/m9.figshare.7802909.v1
title: Additional file 5: of In silico analysis of fungal small RNA accumulation reveals putative plant mRNA targets in the symbiosis between an arbuscular mycorrhizal fungus and its host plant

description: Results of Rir-sRNA – Mtr-mRNA target prediction performed with sPARTA. We added at the filtered software output file the information about the number of sRNA reads, the length of sRNAs (nt),the description of targets and the names of the sRNA-generating loci that produce the sRNAs. (XLSX 47 kb)
DOI: 10.6084/m9.figshare.7802900.v1
title: Additional file 4: of In silico analysis of fungal small RNA accumulation reveals putative plant mRNA targets in the symbiosis between an arbuscular mycorrhizal fungus and its host plant

description: Characterization of sRNA-generating loci. For each of the predicted 2131 sRNA-generating loci we reported: the name, the genome coordinates, the miRNA prediction result, the possible overlap with protein-coding genes (reported with JGI protein ID), the differential expression analysis results of differential expression analysis, the length, the number of mapped sRNA reads, the eventual ID of homologous loci from RepBase (when available), the results of DBSCAN clustering, the proportion of mapped sRNA reads of each length (from 18 nt to 35 nt). (XLSX 442 kb)
DOI: 10.6084/m9.figshare.7802894
title: Additional file 3: of In silico analysis of fungal small RNA accumulation reveals putative plant mRNA targets in the symbiosis between an arbuscular mycorrhizal fungus and its host plant

description: Number of sRNA reads after each filtering step and RFAM families IDs (version 12.0) used for rRNA, tRNA, snRNA and snoRNA removal. (XLSX 16 kb)
DOI: 10.6084/m9.figshare.7802894.v1
title: Additional file 3: of In silico analysis of fungal small RNA accumulation reveals putative plant mRNA targets in the symbiosis between an arbuscular mycorrhizal fungus and its host plant

description: Number of sRNA reads after each filtering step and RFAM families IDs (version 12.0) used for rRNA, tRNA, snRNA and snoRNA removal. (XLSX 16 kb)
DOI: 10.6084/m9.figshare.7802882
title: Additional file 2: of In silico analysis of fungal small RNA accumulation reveals putative plant mRNA targets in the symbiosis between an arbuscular mycorrhizal fungus and its host plant

description: In silico expression analysis of AGO-like, RdRp and DCL identified in R. irregularis. For each sequence we reported: the protein and transcript IDs (JGI), the number of paired mapped reads and FPKM from RNA-seq data-sets (SRR3285893–SRR3285895: 2 day germinating spores; SRR3285917–SRR3285919: symbiotic tissues; Chen et al. 2018) taking into account, the nucleotide length of transcript and the amino-acid length of protein. (XLSX 9 kb)
DOI: 10.6084/m9.figshare.7802882.v1
title: Additional file 2: of In silico analysis of fungal small RNA accumulation reveals putative plant mRNA targets in the symbiosis between an arbuscular mycorrhizal fungus and its host plant

description: In silico expression analysis of AGO-like, RdRp and DCL identified in R. irregularis. For each sequence we reported: the protein and transcript IDs (JGI), the number of paired mapped reads and FPKM from RNA-seq data-sets (SRR3285893–SRR3285895: 2 day germinating spores; SRR3285917–SRR3285919: symbiotic tissues; Chen et al. 2018) taking into account, the nucleotide length of transcript and the amino-acid length of protein. (XLSX 9 kb)
DOI: 10.6084/m9.figshare.7802855
title: MOESM5 of Genomic aberrations in cell cycle genes predict progression of KIT-mutant gastrointestinal stromal tumors (GISTs)

description: Additional file 5: Table S7. All somatic mutations. Sample codes match manuscript numbering (e.g. 1A, 1B, etc.).
DOI: 10.6084/m9.figshare.7802849
title: MOESM4 of Genomic aberrations in cell cycle genes predict progression of KIT-mutant gastrointestinal stromal tumors (GISTs)

description: Additional file 4: Table S6. MutSig analysis results. All mutations-sample codes match manuscript numbering.
DOI: 10.6084/m9.figshare.7802855.v1
title: MOESM5 of Genomic aberrations in cell cycle genes predict progression of KIT-mutant gastrointestinal stromal tumors (GISTs)

description: Additional file 5: Table S7. All somatic mutations. Sample codes match manuscript numbering (e.g. 1A, 1B, etc.).
DOI: 10.6084/m9.figshare.7802849.v1
title: MOESM4 of Genomic aberrations in cell cycle genes predict progression of KIT-mutant gastrointestinal stromal tumors (GISTs)

description: Additional file 4: Table S6. MutSig analysis results. All mutations-sample codes match manuscript numbering.
DOI: 10.6084/m9.figshare.7802837
title: MOESM3 of Genomic aberrations in cell cycle genes predict progression of KIT-mutant gastrointestinal stromal tumors (GISTs)

description: Additional file 3: Table S5. Gene set enrichment analyses for significant mutations according to Mutsig assessment.
DOI: 10.6084/m9.figshare.7802837.v1
title: MOESM3 of Genomic aberrations in cell cycle genes predict progression of KIT-mutant gastrointestinal stromal tumors (GISTs)

description: Additional file 3: Table S5. Gene set enrichment analyses for significant mutations according to Mutsig assessment.
DOI: 10.6084/m9.figshare.7802828
title: MOESM2 of Genomic aberrations in cell cycle genes predict progression of KIT-mutant gastrointestinal stromal tumors (GISTs)

description: Additional file 2: Table S4. KEGG pathways enrichment analysis results.
DOI: 10.6084/m9.figshare.7802828.v1
title: MOESM2 of Genomic aberrations in cell cycle genes predict progression of KIT-mutant gastrointestinal stromal tumors (GISTs)

description: Additional file 2: Table S4. KEGG pathways enrichment analysis results.
DOI: 10.25345/c54b4q
title: MassIVE Reanalysis RMSV000000334.1 - Co-cultivation_of_anaerobic_fungi_with rumen_bacteria_establishes_an_antagonistic_relationship
title: Raw LC-MS/MS spectra to support Swift et al. "Co-cultivation of anaerobic fungi with rumen bacteria establishes an antagonistic relationship".
DOI: 10.6084/m9.figshare.7802738
title: Additional file 4: of α-PD-1 therapy elevates Treg/Th balance and increases tumor cell pSmad3 that are both targeted by α-TGFβ antibody to promote durable rejection and immunity in squamous cell carcinomas

description: Table S2. List of all nonsynonymous coding mutations in six tumor cell lines. (XLSX 84 kb)
DOI: 10.6084/m9.figshare.7802738.v1
title: Additional file 4: of α-PD-1 therapy elevates Treg/Th balance and increases tumor cell pSmad3 that are both targeted by α-TGFβ antibody to promote durable rejection and immunity in squamous cell carcinomas

description: Table S2. List of all nonsynonymous coding mutations in six tumor cell lines. (XLSX 84 kb)
DOI: 10.6084/m9.figshare.7802720
title: Additional file 2: of α-PD-1 therapy elevates Treg/Th balance and increases tumor cell pSmad3 that are both targeted by α-TGFβ antibody to promote durable rejection and immunity in squamous cell carcinomas

description: Table S1. Mutation counts of tumor cell lines. (XLSX 9 kb)
DOI: 10.6084/m9.figshare.7802720.v1
title: Additional file 2: of α-PD-1 therapy elevates Treg/Th balance and increases tumor cell pSmad3 that are both targeted by α-TGFβ antibody to promote durable rejection and immunity in squamous cell carcinomas

description: Table S1. Mutation counts of tumor cell lines. (XLSX 9 kb)
DOI: 10.6084/m9.figshare.7802651
title: MOESM7 of The Y-linked proto-oncogene TSPY contributes to poor prognosis of the male hepatocellular carcinoma patients by promoting the pro-oncogenic and suppressing the anti-oncogenic gene expression

description: Additional file 7: Table S4. Detailed description of 16 genes potentially regulated by TSPY and associated with prognoses in HCC patients.
DOI: 10.6084/m9.figshare.7802651.v1
title: MOESM7 of The Y-linked proto-oncogene TSPY contributes to poor prognosis of the male hepatocellular carcinoma patients by promoting the pro-oncogenic and suppressing the anti-oncogenic gene expression

description: Additional file 7: Table S4. Detailed description of 16 genes potentially regulated by TSPY and associated with prognoses in HCC patients.
DOI: 10.6084/m9.figshare.7802633
title: MOESM4 of The Y-linked proto-oncogene TSPY contributes to poor prognosis of the male hepatocellular carcinoma patients by promoting the pro-oncogenic and suppressing the anti-oncogenic gene expression

description: Additional file 4: Table S3. DEGs commonly correlated with the TSPY expression level in both HuH-7 cells and clincal male HCC samples.
DOI: 10.6084/m9.figshare.7802627
title: MOESM3 of The Y-linked proto-oncogene TSPY contributes to poor prognosis of the male hepatocellular carcinoma patients by promoting the pro-oncogenic and suppressing the anti-oncogenic gene expression

description: Additional file 3: Table S2. Differentially expressed genes between the male TSPY-high HCCs and the male TSPY-silent HCCs.
DOI: 10.6084/m9.figshare.7802633.v1
title: MOESM4 of The Y-linked proto-oncogene TSPY contributes to poor prognosis of the male hepatocellular carcinoma patients by promoting the pro-oncogenic and suppressing the anti-oncogenic gene expression

description: Additional file 4: Table S3. DEGs commonly correlated with the TSPY expression level in both HuH-7 cells and clincal male HCC samples.
DOI: 10.6084/m9.figshare.7802627.v1
title: MOESM3 of The Y-linked proto-oncogene TSPY contributes to poor prognosis of the male hepatocellular carcinoma patients by promoting the pro-oncogenic and suppressing the anti-oncogenic gene expression

description: Additional file 3: Table S2. Differentially expressed genes between the male TSPY-high HCCs and the male TSPY-silent HCCs.
DOI: 10.6084/m9.figshare.7802618
title: MOESM1 of The Y-linked proto-oncogene TSPY contributes to poor prognosis of the male hepatocellular carcinoma patients by promoting the pro-oncogenic and suppressing the anti-oncogenic gene expression

description: Additional file 1: Table S1. Differentially expressed genes between TSPY-overexpressing and EGFP-control HuH-7 cells.
DOI: 10.6084/m9.figshare.7802618.v1
title: MOESM1 of The Y-linked proto-oncogene TSPY contributes to poor prognosis of the male hepatocellular carcinoma patients by promoting the pro-oncogenic and suppressing the anti-oncogenic gene expression

description: Additional file 1: Table S1. Differentially expressed genes between TSPY-overexpressing and EGFP-control HuH-7 cells.
DOI: 10.6084/m9.figshare.7802519
title: Additional file 6: of Genomic analysis of Leptospira interrogans serovar Paidjan and Dadas isolates from carrier dogs and comparative genomic analysis to detect genes under positive selection

description: Tables S1-S2. Leptospira strains used for serogroup and serovar typing. (XLSX 13 kb)
DOI: 10.6084/m9.figshare.7802510
title: Additional file 4: of Genomic analysis of Leptospira interrogans serovar Paidjan and Dadas isolates from carrier dogs and comparative genomic analysis to detect genes under positive selection

description: Tables S1-S4. Statistical analysis of positive selection in 13 representative L. interrogans strains. (XLSX 61 kb)
DOI: 10.6084/m9.figshare.7802519.v1
title: Additional file 6: of Genomic analysis of Leptospira interrogans serovar Paidjan and Dadas isolates from carrier dogs and comparative genomic analysis to detect genes under positive selection

description: Tables S1-S2. Leptospira strains used for serogroup and serovar typing. (XLSX 13 kb)
DOI: 10.6084/m9.figshare.7802501
title: Additional file 1: of Benefits of annual chemotherapeutic control of schistosomiasis on the development of protective immunity

description: 1. Parasitology egg counts pre and post treatment (Sh and Sm) and STH. 2. Sh13 Antibodies Optical Density measurements. 3. Total Antibodies Concentrations. 4. Acute Phase Proteins Concentratons. 5. Cytokine Concentrations. (XLSX 27 kb)
DOI: 10.6084/m9.figshare.7802504
title: Additional file 3: of Genomic analysis of Leptospira interrogans serovar Paidjan and Dadas isolates from carrier dogs and comparative genomic analysis to detect genes under positive selection

description: Table S1. Average Nucleotide identity (ANI) of Leptospira strains and pan-genome analysis of 97â L. interrogans strains. (XLSX 26 kb)
DOI: 10.6084/m9.figshare.7802510.v1
title: Additional file 4: of Genomic analysis of Leptospira interrogans serovar Paidjan and Dadas isolates from carrier dogs and comparative genomic analysis to detect genes under positive selection

description: Tables S1-S4. Statistical analysis of positive selection in 13 representative L. interrogans strains. (XLSX 61 kb)
DOI: 10.6084/m9.figshare.7802501.v1
title: Additional file 1: of Benefits of annual chemotherapeutic control of schistosomiasis on the development of protective immunity

description: 1. Parasitology egg counts pre and post treatment (Sh and Sm) and STH. 2. Sh13 Antibodies Optical Density measurements. 3. Total Antibodies Concentrations. 4. Acute Phase Proteins Concentratons. 5. Cytokine Concentrations. (XLSX 27 kb)
DOI: 10.6084/m9.figshare.7802504.v1
title: Additional file 3: of Genomic analysis of Leptospira interrogans serovar Paidjan and Dadas isolates from carrier dogs and comparative genomic analysis to detect genes under positive selection

description: Table S1. Average Nucleotide identity (ANI) of Leptospira strains and pan-genome analysis of 97â L. interrogans strains. (XLSX 26 kb)
DOI: 10.6084/m9.figshare.7802489
title: Additional file 2: of Dissecting molecular mechanisms underlying salt tolerance in rice: a comparative transcriptional profiling of the contrasting genotypes

description: Table S3. The list of novel transcripts in FL478 and IR29. (XLSX 214 kb)
DOI: 10.6084/m9.figshare.7802492
title: Additional file 1: of Genomic analysis of Leptospira interrogans serovar Paidjan and Dadas isolates from carrier dogs and comparative genomic analysis to detect genes under positive selection

description: Tables S1-S9. Genomic characterization of Thai L. interrogans serovar Paidjan strain CUDO5 and serovar Dadas strain CUDO8. (XLSX 158 kb)
DOI: 10.6084/m9.figshare.7802483
title: MOESM2 of AntAngioCOOL: computational detection of anti-angiogenic peptides

description: Additional file 2. Supplementary Results. Results of feature selection and feature importance analysis.
DOI: 10.6084/m9.figshare.7802489.v1
title: Additional file 2: of Dissecting molecular mechanisms underlying salt tolerance in rice: a comparative transcriptional profiling of the contrasting genotypes

description: Table S3. The list of novel transcripts in FL478 and IR29. (XLSX 214 kb)
DOI: 10.6084/m9.figshare.7802492.v1
title: Additional file 1: of Genomic analysis of Leptospira interrogans serovar Paidjan and Dadas isolates from carrier dogs and comparative genomic analysis to detect genes under positive selection

description: Tables S1-S9. Genomic characterization of Thai L. interrogans serovar Paidjan strain CUDO5 and serovar Dadas strain CUDO8. (XLSX 158 kb)