cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.5786394.v1
title: MOESM7 of Systematic quantitative analysis of H2A and H2B variants by targeted proteomics

description: Additional file 7. PRM transition results. List of transitions used to quantify each monitored peptide. Precursor charge, fragment ion, light precursor m/z ratio, light product m/z ratio, light retention time are indicated.
DOI: 10.6084/m9.figshare.5786370
title: MOESM4 of Systematic quantitative analysis of H2A and H2B variants by targeted proteomics

description: Additional file 4. Details of the SRM transitions for each signature peptide. SRM assay parameters including precursor and fragment ion type, charge state, elution time as well as raw data are provided in Suppl. data. (*) Indicates peptides monitored only in their endogenous form.
DOI: 10.6084/m9.figshare.5786370.v1
title: MOESM4 of Systematic quantitative analysis of H2A and H2B variants by targeted proteomics

description: Additional file 4. Details of the SRM transitions for each signature peptide. SRM assay parameters including precursor and fragment ion type, charge state, elution time as well as raw data are provided in Suppl. data. (*) Indicates peptides monitored only in their endogenous form.
DOI: 10.6084/m9.figshare.5786352
title: MOESM2 of Systematic quantitative analysis of H2A and H2B variants by targeted proteomics

description: Additional file 2. Validation criteria for each signature peptide. Peptide number, protein names, peptide sequence, ESP predictor score, and length of peptides are indicated. The criteria detailed in the results sections (Theoretical histone peptides relevant for a targeted proteomic analysis and Trypsin missed cleavages in signature peptides) were also reported for each peptide. They include their status as fully tryptic or non-tryptic (e.g., C-terminal of the histone variant), if their length is within 6–23 amino acids, if they are not chemically modified, and if the monitored peptides have no neighboring K/R residue.
DOI: 10.6084/m9.figshare.5786352.v1
title: MOESM2 of Systematic quantitative analysis of H2A and H2B variants by targeted proteomics

description: Additional file 2. Validation criteria for each signature peptide. Peptide number, protein names, peptide sequence, ESP predictor score, and length of peptides are indicated. The criteria detailed in the results sections (Theoretical histone peptides relevant for a targeted proteomic analysis and Trypsin missed cleavages in signature peptides) were also reported for each peptide. They include their status as fully tryptic or non-tryptic (e.g., C-terminal of the histone variant), if their length is within 6–23 amino acids, if they are not chemically modified, and if the monitored peptides have no neighboring K/R residue.
DOI: 10.6084/m9.figshare.5786340
title: Additional file 1: Figure S9. of Enhanced metastatic capacity of breast cancer cells after interaction and hybrid formation with mesenchymal stroma/stem cells (MSC)

description: RNA microarray analysis. Gene expression data file for comparison between parental MSC and hybrid cells as well as between corresponding cancer and hybrid cells. Data are also stored at the NCBI-GEO database with the accession no. #GSE100551. (XLS 3897 kb)
DOI: 10.6084/m9.figshare.5786340.v1
title: Additional file 1: Figure S9. of Enhanced metastatic capacity of breast cancer cells after interaction and hybrid formation with mesenchymal stroma/stem cells (MSC)

description: RNA microarray analysis. Gene expression data file for comparison between parental MSC and hybrid cells as well as between corresponding cancer and hybrid cells. Data are also stored at the NCBI-GEO database with the accession no. #GSE100551. (XLS 3897 kb)
DOI: 10.6084/m9.figshare.5786316
title: Additional file 9: Table S7. of Genome-wide analyses of direct target genes of four rice NAC-domain transcription factors involved in drought tolerance

description: Integration of RNA-Seq and chromatin immunoprecipitation (ChIP)-Seq data sets. (XLSX 36Â kb)
DOI: 10.6084/m9.figshare.5786316.v1
title: Additional file 9: Table S7. of Genome-wide analyses of direct target genes of four rice NAC-domain transcription factors involved in drought tolerance

description: Integration of RNA-Seq and chromatin immunoprecipitation (ChIP)-Seq data sets. (XLSX 36Â kb)
DOI: 10.6084/m9.figshare.5786292
title: Additional file 7: Table S6. of Genome-wide analyses of direct target genes of four rice NAC-domain transcription factors involved in drought tolerance

description: Direct target genes of OsNAC5, 6, 9, and 10 identified by merging of chromatin immunoprecipitation (ChIP)-Seq and RNA-Seq data sets. Each color showed that Log2 ratio ≥ 1.0 in ChIP, and f.c. (fold change) ≥ 1.5, p-value &lt;0.05 in RNA-seq, and red, sky blue, light green, and purple mean OsNAC5, OsNAC6, OsNAC9, and OsNAC10, respectively. 975 sheet means a total of 975 genomic loci, including 460 promoters, 11 5’ UTR, 211 exons, 116 introns, 148 TTs, and 28 3’ UTRs, and 460 sheet means 460 promoters that were enriched in at least one of the OsNACs. Distance to TSS, the distance between the nearest TSS and the center of the peak/region. (XLSX 1228 kb)
DOI: 10.6084/m9.figshare.5786292.v1
title: Additional file 7: Table S6. of Genome-wide analyses of direct target genes of four rice NAC-domain transcription factors involved in drought tolerance

description: Direct target genes of OsNAC5, 6, 9, and 10 identified by merging of chromatin immunoprecipitation (ChIP)-Seq and RNA-Seq data sets. Each color showed that Log2 ratio ≥ 1.0 in ChIP, and f.c. (fold change) ≥ 1.5, p-value &lt;0.05 in RNA-seq, and red, sky blue, light green, and purple mean OsNAC5, OsNAC6, OsNAC9, and OsNAC10, respectively. 975 sheet means a total of 975 genomic loci, including 460 promoters, 11 5’ UTR, 211 exons, 116 introns, 148 TTs, and 28 3’ UTRs, and 460 sheet means 460 promoters that were enriched in at least one of the OsNACs. Distance to TSS, the distance between the nearest TSS and the center of the peak/region. (XLSX 1228 kb)
DOI: 10.6084/m9.figshare.5786280
title: Additional file 6: Table S5. of Genome-wide analyses of direct target genes of four rice NAC-domain transcription factors involved in drought tolerance

description: ChIP-Seq data obtained by Illumina Hi-Seq 2500 sequencing. (XLSX 16Â kb)
DOI: 10.6084/m9.figshare.5786280.v1
title: Additional file 6: Table S5. of Genome-wide analyses of direct target genes of four rice NAC-domain transcription factors involved in drought tolerance

description: ChIP-Seq data obtained by Illumina Hi-Seq 2500 sequencing. (XLSX 16Â kb)
DOI: 10.5281/zenodo.3788068
title: Truck Axle Detection

description: This dataset was created to train a neural network to recognize truck axles, applied to videos recorded in a highway in the State of São Paulo, Brazil. This is still a work in progress and will be updated regularly. More info can be found in our Researchgate Lab Page or on our OrcID Profiles. The dataset includes 1737 cropped images of truck axles, divided in two folders: Axle_Dark - Images of shadowed or dark truck axles, with few features and details visible. 1034 images Format: JPEG Resolution: Various, 96dpi Axle_Clear - Images of clear truck axles, with visible details and features. 703 images Format: JPEG Resolution: Various, 96dpi Naming pattern: &lt;video_name&gt;_&lt;color|gray&gt;-&lt;Region_of_Interest_ID&gt;-&lt;truck_ID&gt;_&lt;axle_number&gt;.jpg If this dataset helps in any way your research, please feel free to contact the authors. We really enjoy knowing about other researcher's projects and how everybody is making use of the images on this dataset. We are also open for collaborations and to answer any questions.
DOI: 10.5281/zenodo.3788067
title: Truck Axle Detection

description: This dataset was created to train a neural network to recognize truck axles, applied to videos recorded in a highway in the State of São Paulo, Brazil. This is still a work in progress and will be updated regularly. More info can be found in our Researchgate Lab Page or on our OrcID Profiles. The dataset includes 1737 cropped images of truck axles, divided in two folders: Axle_Dark - Images of shadowed or dark truck axles, with few features and details visible. 1034 images Format: JPEG Resolution: Various, 96dpi Axle_Clear - Images of clear truck axles, with visible details and features. 703 images Format: JPEG Resolution: Various, 96dpi Naming pattern: &lt;video_name&gt;_&lt;color|gray&gt;-&lt;Region_of_Interest_ID&gt;-&lt;truck_ID&gt;_&lt;axle_number&gt;.jpg If this dataset helps in any way your research, please feel free to contact the authors. We really enjoy knowing about other researcher's projects and how everybody is making use of the images on this dataset. We are also open for collaborations and to answer any questions.
DOI: 10.6084/m9.figshare.5786256
title: Additional file 5: Table S4. of Genome-wide analyses of direct target genes of four rice NAC-domain transcription factors involved in drought tolerance

description: List of genes associated with gene ontologies, including Biological Process, Molecular Function, and Cellular components. (XLSX 152Â kb)
DOI: 10.6084/m9.figshare.5786256.v1
title: Additional file 5: Table S4. of Genome-wide analyses of direct target genes of four rice NAC-domain transcription factors involved in drought tolerance

description: List of genes associated with gene ontologies, including Biological Process, Molecular Function, and Cellular components. (XLSX 152Â kb)
DOI: 10.6084/m9.figshare.5786241
title: Additional file 4: Table S3. of Genome-wide analyses of direct target genes of four rice NAC-domain transcription factors involved in drought tolerance

description: Gene ontology analysis of genes that are up-regulated in RCc3: OsNAC5, 6, 9, and 10 transgenic roots. Genes were associated with gene ontology (GO) terms, including Biological Process, Molecular Function, and Cellular components. FDR, False Discovery Rate, p-value &lt;0.05 using AgriGO and REVIGO. Main enriched processes are presented for each of RCc3:OsNAC5, 6, 9, and 10. (XLSX 15Â kb)
DOI: 10.6084/m9.figshare.5786241.v1
title: Additional file 4: Table S3. of Genome-wide analyses of direct target genes of four rice NAC-domain transcription factors involved in drought tolerance

description: Gene ontology analysis of genes that are up-regulated in RCc3: OsNAC5, 6, 9, and 10 transgenic roots. Genes were associated with gene ontology (GO) terms, including Biological Process, Molecular Function, and Cellular components. FDR, False Discovery Rate, p-value &lt;0.05 using AgriGO and REVIGO. Main enriched processes are presented for each of RCc3:OsNAC5, 6, 9, and 10. (XLSX 15Â kb)
DOI: 10.6084/m9.figshare.5786223
title: Additional file 3: Table S2. of Genome-wide analyses of direct target genes of four rice NAC-domain transcription factors involved in drought tolerance

description: List of up- and down-regulated differentially expressed genes (DEGs) (|fold change| ≥ 1.5, and p value &lt;0.05,) in RCc3:OsNAC5, 6, 9, and 10 rice plants. (XLSX 54 kb)
DOI: 10.6084/m9.figshare.5786223.v1
title: Additional file 3: Table S2. of Genome-wide analyses of direct target genes of four rice NAC-domain transcription factors involved in drought tolerance

description: List of up- and down-regulated differentially expressed genes (DEGs) (|fold change| ≥ 1.5, and p value &lt;0.05,) in RCc3:OsNAC5, 6, 9, and 10 rice plants. (XLSX 54 kb)
DOI: 10.6084/m9.figshare.5786208
title: Additional file 2: Table S1. of Genome-wide analyses of direct target genes of four rice NAC-domain transcription factors involved in drought tolerance

description: Information about RNA-Seq data obtained by Illumina Hi-Seq 2500 sequencing. 1Raw seq. Reads no.: Total number of reads used in sequence analysis. 2Raw seq. Reads length: Total length of reads used in sequence analysis. 3GC (%): Percentage of GC found in sequence reads. 4Q20 (%): Percentage of bases with quality score of 20 or above. A base with a quality score of 20 has a probability of being an incorrect call of 1 in 100. (XLSX 14Â kb)
DOI: 10.6084/m9.figshare.5786208.v1
title: Additional file 2: Table S1. of Genome-wide analyses of direct target genes of four rice NAC-domain transcription factors involved in drought tolerance

description: Information about RNA-Seq data obtained by Illumina Hi-Seq 2500 sequencing. 1Raw seq. Reads no.: Total number of reads used in sequence analysis. 2Raw seq. Reads length: Total length of reads used in sequence analysis. 3GC (%): Percentage of GC found in sequence reads. 4Q20 (%): Percentage of bases with quality score of 20 or above. A base with a quality score of 20 has a probability of being an incorrect call of 1 in 100. (XLSX 14Â kb)
DOI: 10.6084/m9.figshare.5786205
title: Additional file 1: of DNA methylation as a predictor of fetal alcohol spectrum disorder

description: Supplementary tables. (XLSX 69Â kb)
DOI: 10.6084/m9.figshare.5786205.v1
title: Additional file 1: of DNA methylation as a predictor of fetal alcohol spectrum disorder

description: Supplementary tables. (XLSX 69Â kb)
DOI: 10.6084/m9.figshare.5786178
title: Additional file 1: Table S8. of Genome-wide analyses of direct target genes of four rice NAC-domain transcription factors involved in drought tolerance

description: List of primers used in this study. (XLSX 12Â kb)
DOI: 10.6084/m9.figshare.5786178.v1
title: Additional file 1: Table S8. of Genome-wide analyses of direct target genes of four rice NAC-domain transcription factors involved in drought tolerance

description: List of primers used in this study. (XLSX 12Â kb)
DOI: 10.6084/m9.figshare.5786139
title: Additional file 3: Table S3. of Peripheral blood gene expression signatures which reflect smoking and aspirin exposure are associated with cardiovascular events

description: This file contains Site, PI, and IRB number information from the PREDICT trial. (XLSX 10Â kb)
DOI: 10.6084/m9.figshare.5786139.v1
title: Additional file 3: Table S3. of Peripheral blood gene expression signatures which reflect smoking and aspirin exposure are associated with cardiovascular events

description: This file contains Site, PI, and IRB number information from the PREDICT trial. (XLSX 10Â kb)
DOI: 10.6084/m9.figshare.5786124
title: Additional file 2: Table S1. of Peripheral blood gene expression signatures which reflect smoking and aspirin exposure are associated with cardiovascular events

description: This file contains the primary gene expression data including the sGES (SMOKSCO), ITGA2B gene expression levels (ITGA2BPR), current aspirin use (Aspirin), current smoking status (CurrrentSmoker), whether the subject experienced MACE (Event), age in 5Â year bins (AgeBin), platelet count (PLATELET), whether the subject had obstructive CAD (oCAD), and the expression levels for the individual genes comprising the smoking GES. 1 = positive, 0 = negative in all binary fields. (XLSX 192Â kb)
DOI: 10.6084/m9.figshare.5786124.v1
title: Additional file 2: Table S1. of Peripheral blood gene expression signatures which reflect smoking and aspirin exposure are associated with cardiovascular events

description: This file contains the primary gene expression data including the sGES (SMOKSCO), ITGA2B gene expression levels (ITGA2BPR), current aspirin use (Aspirin), current smoking status (CurrrentSmoker), whether the subject experienced MACE (Event), age in 5Â year bins (AgeBin), platelet count (PLATELET), whether the subject had obstructive CAD (oCAD), and the expression levels for the individual genes comprising the smoking GES. 1 = positive, 0 = negative in all binary fields. (XLSX 192Â kb)
DOI: 10.6084/m9.figshare.5786100
title: Additional file 1: Table S2. of Peripheral blood gene expression signatures which reflect smoking and aspirin exposure are associated with cardiovascular events

description: This file contains the RT-qPCR probe and primer sequences for the 5 genes comprising the sGES. (XLSX 38Â kb)
DOI: 10.6084/m9.figshare.5786100.v1
title: Additional file 1: Table S2. of Peripheral blood gene expression signatures which reflect smoking and aspirin exposure are associated with cardiovascular events

description: This file contains the RT-qPCR probe and primer sequences for the 5 genes comprising the sGES. (XLSX 38Â kb)
DOI: 10.6084/m9.figshare.5786070
title: MOESM6 of Modelling the structure of a ceRNA-theoretical, bipartite microRNA–mRNA interaction network regulating intestinal epithelial cellular pathways using R programming

description: Additional file 6. R-input, Fig3c subset adjacency list. A subset of the MiRWalk_Trimmed.csv adjacency list, used to derive the graph plot displayed in Fig. 3c.
DOI: 10.6084/m9.figshare.5786070.v1
title: MOESM6 of Modelling the structure of a ceRNA-theoretical, bipartite microRNA–mRNA interaction network regulating intestinal epithelial cellular pathways using R programming

description: Additional file 6. R-input, Fig3c subset adjacency list. A subset of the MiRWalk_Trimmed.csv adjacency list, used to derive the graph plot displayed in Fig. 3c.
DOI: 10.6084/m9.figshare.5786058
title: MOESM5 of Modelling the structure of a ceRNA-theoretical, bipartite microRNA–mRNA interaction network regulating intestinal epithelial cellular pathways using R programming

description: Additional file 5. R-input, adjacency list. A comma-delimited adjacency list of gene-miRNA interactions, used as input for the R-code.
DOI: 10.6084/m9.figshare.5786058.v1
title: MOESM5 of Modelling the structure of a ceRNA-theoretical, bipartite microRNA–mRNA interaction network regulating intestinal epithelial cellular pathways using R programming

description: Additional file 5. R-input, adjacency list. A comma-delimited adjacency list of gene-miRNA interactions, used as input for the R-code.
DOI: 10.6084/m9.figshare.5786046
title: Additional file 3: of A-GAME: improving the assembly of pooled functional metagenomics sequence data

description: Supplementary Tables (1 to 3). (XLS 32 kb)
DOI: 10.6084/m9.figshare.5786046.v1
title: Additional file 3: of A-GAME: improving the assembly of pooled functional metagenomics sequence data

description: Supplementary Tables (1 to 3). (XLS 32 kb)
DOI: 10.6084/m9.figshare.5786001
title: MOESM2 of Modelling the structure of a ceRNA-theoretical, bipartite microRNA–mRNA interaction network regulating intestinal epithelial cellular pathways using R programming

description: Additional file 2. R-code. An R-programming language script with functional code to perform all analyses described in this article.
DOI: 10.6084/m9.figshare.5786001.v1
title: MOESM2 of Modelling the structure of a ceRNA-theoretical, bipartite microRNA–mRNA interaction network regulating intestinal epithelial cellular pathways using R programming

description: Additional file 2. R-code. An R-programming language script with functional code to perform all analyses described in this article.
DOI: 10.6084/m9.figshare.5785989
title: MOESM1 of Modelling the structure of a ceRNA-theoretical, bipartite microRNA–mRNA interaction network regulating intestinal epithelial cellular pathways using R programming

description: Additional file 1: Table S1. Citation data for miRWalk2.0-derived experimentally validated miRNA-mRNA interactions.
DOI: 10.6084/m9.figshare.5785989.v1
title: MOESM1 of Modelling the structure of a ceRNA-theoretical, bipartite microRNA–mRNA interaction network regulating intestinal epithelial cellular pathways using R programming

description: Additional file 1: Table S1. Citation data for miRWalk2.0-derived experimentally validated miRNA-mRNA interactions.
DOI: 10.6084/m9.figshare.5785962
title: Additional file 1: of Functionality of hospital information systems: results from a survey of quality directors at Turkish hospitals

description: Survey Items Related to IOM Groups. This table provides classification of survey items within the 8 HIS functionality categories described by IOM. (XLSX 13 kb)
DOI: 10.6084/m9.figshare.5785962.v1
title: Additional file 1: of Functionality of hospital information systems: results from a survey of quality directors at Turkish hospitals

description: Survey Items Related to IOM Groups. This table provides classification of survey items within the 8 HIS functionality categories described by IOM. (XLSX 13 kb)
DOI: 10.6084/m9.figshare.5785878
title: MUAC_dataset

description: Dataset for the manuscript entitled Mid upper arm circumference as a predictor of risk of mortality in children in a low resource setting in India<b></b>
DOI: 10.6084/m9.figshare.5785878.v1
title: MUAC_dataset

description: Dataset for the manuscript entitled Mid upper arm circumference as a predictor of risk of mortality in children in a low resource setting in India<b></b>
DOI: 10.6084/m9.figshare.5785833.v1
title: NetVotes 2017 - iKnow’17

description: This is the data used in the experiment of the paper submited to i-Know Workshops 2017.<br>You can access the paper through the following link: http://ceur-ws.org/Vol-2025/paper_rssna_1.pdf<br>The code source is accessible by here: https://github.com/CompNet/NetVotes<br><br><br><br>The 'itsyourparliament' folder contains all input files for further data processing.<br>itsyourparliament/<br> |__domains: There are 28 domain files. Each file corresponds to a domian (such as Agriculture, Economy, etc.) and contains corresponding vote identifiers and their "itsyourparliament.eu" links.<br> |__meps: There 870 Member of Parliament (MEP) files. Each file contains the MEP information (such as name, country, address, etc.)<br> |__votes: There are 7513 vote files. Each file contains the votes expressed by MEPs<br><br><br><br>The 'networks' folder contains a graphml file for each year-based instances. This file is used to load the corresponding graph object in 'igraph'.<br>The 'partitions' folder contains several partition files based on the grpah files located in 'networks'. The partitions obtained through the following methods and configurations: Ex-CC (let us say 'k' is the number of detected cluster), ILS-CC with 'k', ILS-CC with 'k+1', ILS-CC with 'k+2',ILS-CC with 'k+3', ILS-CC with 'k+4'<br>These folders have the following common file structure:<br> France<br> |__AGRI<br> |__2009-10<br> |__2010-11<br> |__2011-12<br> |__2012-13<br> |__2013-14<br> |__ECON<br> |__2009-10<br> |__2010-11<br> |__2011-12<br> |__2012-13<br> |__2013-14<br> Italy<br> |__AGRI<br> |__2009-10<br> |__2010-11<br> |__2011-12<br> |__2012-13<br> |__2013-14<br> |__ECON<br> |__2009-10<br> |__2010-11<br> |__2011-12<br> |__2012-13<br> |__2013-14<br><br><br><br>material-stats/<br> |__execTimePerf: The plot shows the execution time of Ex-CC and ILS-CC based on randomly generated complete networks of different size.<br> |__graphStructureAnalysis: The plots show the weights and links statistics for all instances.<br> |__ILS-CC-vs-Ex-CC: The folder contains 4 different comparisons between Ex-CC and ILS-CC: Imbalance difference, number of detected clusters, difference of the number of detected clusters, NMI (Normalized Mutual Information)
DOI: 10.6084/m9.figshare.5785830
title: Tutorial básico OJS 3.0.pptx

description: Basic tutorial in Spanish for begginner users of Open Journal System publishing platform
DOI: 10.6084/m9.figshare.5785830.v2
title: Tutorial básico OJS 3.0.pptx

description: Basic tutorial in Spanish for begginner users of Open Journal System publishing platform
DOI: 10.6084/m9.figshare.5785785
title: wershow_fielddata_AMJB.xlsx

description: Presence locations and associated site information for 5 endemic alpine wildflowers of the Olympic Mountains, sampled in the summer of 2015 by Samuel Wershow. These data were used as the basis for Species Distribution Models and habitat loss projections to assess potential climate change impacts on these taxa.
DOI: 10.6084/m9.figshare.5785785.v1
title: wershow_fielddata_AMJB.xlsx

description: Presence locations and associated site information for 5 endemic alpine wildflowers of the Olympic Mountains, sampled in the summer of 2015 by Samuel Wershow. These data were used as the basis for Species Distribution Models and habitat loss projections to assess potential climate change impacts on these taxa.
DOI: 10.6084/m9.figshare.5785761
title: DOY 339

description: DATA SET FOR DOY 339, 2014 MESSENGER SC