cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.6796430.v1
title: MOESM2 of CO-dependent hydrogen production by the facultative anaerobe Parageobacillus thermoglucosidasius

description: Additional file 2. Annotations of the CODH and [Ni-Fe] hydrogenase loci of P. thermoglucosidasius DSM 2542T. The locus tags, sizes, protein names as well as the functions of the proteins in the three [Ni-Fe] hydrogenase loci and the anaerobic CODH locus of P. thermoglucosidasius DSM 2542T. BlastP data (locus tag, average amino acid identity, bitscore and e-value) for the closest non-Parageobacillus orthologue and the top conserved domain for each P. thermoglucosidasius DSM 2542T protein are shown.
DOI: 10.6084/m9.figshare.12890654
title: SNVs for each genome compared to IGA1008

description: SNVs identified using MUMer between soybean genome assemblies and IGA1008
DOI: 10.6084/m9.figshare.6796388
title: Additional file 2: of Variation and asymmetry in host-symbiont dependence in a microbial symbiosis

description: The raw data that was presented and analysed in the manuscript. (XLSX 42Â kb)
DOI: 10.6084/m9.figshare.6796388.v1
title: Additional file 2: of Variation and asymmetry in host-symbiont dependence in a microbial symbiosis

description: The raw data that was presented and analysed in the manuscript. (XLSX 42Â kb)
DOI: 10.6084/m9.figshare.6796367
title: Additional file 7: of Highly focused transcriptional response of Anopheles coluzzii to Oâ nyong nyong arbovirus during the primary midgut infection

description: Table S3. A. coluzzii miRNA-mRNA target gene pairs by sequence-based target prediction and anti-correlation with mRNA expression levels. Table indicates complete transcript table with miRNA data. (XLSX 6821 kb)
DOI: 10.6084/m9.figshare.6796367.v1
title: Additional file 7: of Highly focused transcriptional response of Anopheles coluzzii to Oâ nyong nyong arbovirus during the primary midgut infection

description: Table S3. A. coluzzii miRNA-mRNA target gene pairs by sequence-based target prediction and anti-correlation with mRNA expression levels. Table indicates complete transcript table with miRNA data. (XLSX 6821 kb)
DOI: 10.6084/m9.figshare.6796340
title: Additional file 4: of Highly focused transcriptional response of Anopheles coluzzii to Oâ nyong nyong arbovirus during the primary midgut infection

description: Table S2. A. coluzzii miRNAs and regulation by treatments. Table includes novel and known miRNAs, sequences, and differential regulation data after dsRNA treatments, in mosquitoes with and without ONNV infection. Genomic coordinates of miRNA genes are based on A. gambiae PEST strain genome (assembly AgamP3). (XLSX 59 kb)
DOI: 10.6084/m9.figshare.6796340.v1
title: Additional file 4: of Highly focused transcriptional response of Anopheles coluzzii to Oâ nyong nyong arbovirus during the primary midgut infection

description: Table S2. A. coluzzii miRNAs and regulation by treatments. Table includes novel and known miRNAs, sequences, and differential regulation data after dsRNA treatments, in mosquitoes with and without ONNV infection. Genomic coordinates of miRNA genes are based on A. gambiae PEST strain genome (assembly AgamP3). (XLSX 59 kb)
DOI: 10.6084/m9.figshare.6796328
title: Additional file 6 of INBIA: a boosting methodology for proteomic network inference

description: Minimum dominating set and corresponding collective influence measure as computed within each cancerâ s best method network for INBIA and PERA. (XLSX 49 kb)
DOI: 10.6084/m9.figshare.6796328.v1
title: Additional file 6 of INBIA: a boosting methodology for proteomic network inference

description: Minimum dominating set and corresponding collective influence measure as computed within each cancerâ s best method network for INBIA and PERA. (XLSX 49 kb)
DOI: 10.6084/m9.figshare.6796313
title: Additional file 5 of INBIA: a boosting methodology for proteomic network inference

description: Genes present in OncoPanel that overlap with TCPA, INBIA consensus network and INBIA cancer-specific best PPI networks. (XLSX 18.3 kb)
DOI: 10.6084/m9.figshare.6796313.v1
title: Additional file 5 of INBIA: a boosting methodology for proteomic network inference

description: Genes present in OncoPanel that overlap with TCPA, INBIA consensus network and INBIA cancer-specific best PPI networks. (XLSX 18.3 kb)
DOI: 10.6084/m9.figshare.6796301
title: Additional file 4 of INBIA: a boosting methodology for proteomic network inference

description: Methods and cancers consensus PPI networks for INBIA and PERA. (XLSX 15.4 kb)
DOI: 10.6084/m9.figshare.6796301.v1
title: Additional file 4 of INBIA: a boosting methodology for proteomic network inference

description: Methods and cancers consensus PPI networks for INBIA and PERA. (XLSX 15.4 kb)
DOI: 10.6084/m9.figshare.6796292
title: Additional file 1: of Highly focused transcriptional response of Anopheles coluzzii to Oâ nyong nyong arbovirus during the primary midgut infection

description: Table S1. A. coluzzii mRNAs differentially expressed 3 d after ONNV infection by bloodmeal as compared to control mosquitoes fed a normal bloodmeal. Table lists differential regulation data for the 30 ONNV-regulated genes shown in Fig. 1, including bioinformatically predicted functional information where available. (XLSX 13 kb)
DOI: 10.6084/m9.figshare.6796292.v1
title: Additional file 1: of Highly focused transcriptional response of Anopheles coluzzii to Oâ nyong nyong arbovirus during the primary midgut infection

description: Table S1. A. coluzzii mRNAs differentially expressed 3 d after ONNV infection by bloodmeal as compared to control mosquitoes fed a normal bloodmeal. Table lists differential regulation data for the 30 ONNV-regulated genes shown in Fig. 1, including bioinformatically predicted functional information where available. (XLSX 13 kb)
DOI: 10.6084/m9.figshare.6796283
title: Additional file 3 of INBIA: a boosting methodology for proteomic network inference

description: Inferred PPIs network statistics and p-values computed with Wilcoxon rank-sum test for each cancer type. (XLSX 14.9 kb)
DOI: 10.6084/m9.figshare.6796283.v1
title: Additional file 3 of INBIA: a boosting methodology for proteomic network inference

description: Inferred PPIs network statistics and p-values computed with Wilcoxon rank-sum test for each cancer type. (XLSX 14.9 kb)
DOI: 10.6084/m9.figshare.6796274
title: Additional file 2 of INBIA: a boosting methodology for proteomic network inference

description: PERA PPI gold standard network created from Pathway Commons v2. (XLSX 19 kb)
DOI: 10.6084/m9.figshare.6796274.v1
title: Additional file 2 of INBIA: a boosting methodology for proteomic network inference

description: PERA PPI gold standard network created from Pathway Commons v2. (XLSX 19 kb)
DOI: 10.6084/m9.figshare.6796232
title: 16S rRNA sequences

description: 16S rRNA gene high-throughput amplicon sequencing of grapevine rhizosphere samples
DOI: 10.6084/m9.figshare.6796226
title: Spatial vulnerabilities of the Escherichia coli genome to spontaneous mutations revealed with improved duplex sequencing

description: Figure S1. Comparison of MAE and MSE strategies. <br>Figure S2. Family size and error rate across all samples. <br>Figure S3. Features of spontaneous mutations.<br>Figure S4. Signatures of mutation context.<br>Figure S5. The spectra and fraction of mutations.<br>Figure S6. The correlation between mutation and gene expression of E3C.<br>Table S1. Summary of data sources for error rate calculation and the 15 E.coli samples sequenced in this study. <br>Table S2. The error rate of the 15 Tp53 duplex sequencing datasets across 12 error types.<br>Table S3. The mutations we obtained in the 15 samples.<br>Table S4 Summary of hotspot across 15 samples.<br>
DOI: 10.6084/m9.figshare.6796226.v1
title: Spatial vulnerabilities of the Escherichia coli genome to spontaneous mutations revealed with improved duplex sequencing

description: Figure S1. Comparison of MAE and MSE strategies. <br>Figure S2. Family size and error rate across all samples. <br>Figure S3. Features of spontaneous mutations.<br>Figure S4. Signatures of mutation context.<br>Figure S5. The spectra and fraction of mutations.<br>Figure S6. The correlation between mutation and gene expression of E3C.<br>Table S1. Summary of data sources for error rate calculation and the 15 E.coli samples sequenced in this study. <br>Table S2. The error rate of the 15 Tp53 duplex sequencing datasets across 12 error types.<br>Table S3. The mutations we obtained in the 15 samples.<br>Table S4 Summary of hotspot across 15 samples.<br>
DOI: 10.6084/m9.figshare.6796205
title: ITS sequences

description: ITS high-throughput amplicon sequencing of grapevine rhizosphere samples
DOI: 10.6084/m9.figshare.6796196
title: Metadata

description: Metadata file for NGD sequencing
DOI: 10.6084/m9.figshare.6796205.v1
title: ITS sequences

description: ITS high-throughput amplicon sequencing of grapevine rhizosphere samples
DOI: 10.6084/m9.figshare.6796196.v1
title: Metadata

description: Metadata file for NGD sequencing
DOI: 10.6084/m9.figshare.6796184
title: slemany.x2017.xlsx

description: Climate data of Sulaimaniyah city
DOI: 10.6084/m9.figshare.6796193
title: Climate data of Sulaimaniyah city

description: Climate data of Sulaimaniyah city
DOI: 10.6084/m9.figshare.6796193.v1
title: Climate data of Sulaimaniyah city

description: Climate data of Sulaimaniyah city
DOI: 10.6084/m9.figshare.6795407
title: Vocal communication of simulated pain

description: While evidence suggests that pain cries produced by human babies and other mammal infants communicate pain intensity, whether the pain vocalisations of human adults also encode pain intensity, and which acoustic characteristics influence listeners’ perceptions, remains unexplored. Here, we investigated how trained actors communicated pain by comparing the acoustic characteristics of nonverbal vocalisations expressing different levels of pain intensity (mild, moderate and severe). We then performed playback experiments to examine whether vocalisers successfully communicated pain intensity to listeners, and which acoustic characteristics were responsible for variation in pain ratings. We found that the mean and range of voice fundamental frequency (F0, perceived as pitch), the amplitude of the vocalisation, the degree of periodicity of the vocalisation and the proportion of the signal displaying non-linear phenomena all increased with the level of simulated pain intensity. In turn, these parameters predicted increases in listeners’ ratings of pain intensity. We also found that while different voice features contributed to increases in pain ratings within each level of expressed pain, a combination of these features explained an impressive amount of the variance in listeners’ pain ratings, both across (76%) and within (31–54%) pain levels. Our results show that adult vocalisers can volitionally simulate and modulate pain vocalisations to influence listeners’ perceptions of pain in a manner consistent with authentic human infant and nonhuman mammal pain vocalisations, and highlight potential for the development of a practical quantitative tool to improve pain assessment in populations unable to self-report their subjective pain experience.
DOI: 10.6084/m9.figshare.6795407.v1
title: Vocal communication of simulated pain

description: While evidence suggests that pain cries produced by human babies and other mammal infants communicate pain intensity, whether the pain vocalisations of human adults also encode pain intensity, and which acoustic characteristics influence listeners’ perceptions, remains unexplored. Here, we investigated how trained actors communicated pain by comparing the acoustic characteristics of nonverbal vocalisations expressing different levels of pain intensity (mild, moderate and severe). We then performed playback experiments to examine whether vocalisers successfully communicated pain intensity to listeners, and which acoustic characteristics were responsible for variation in pain ratings. We found that the mean and range of voice fundamental frequency (F0, perceived as pitch), the amplitude of the vocalisation, the degree of periodicity of the vocalisation and the proportion of the signal displaying non-linear phenomena all increased with the level of simulated pain intensity. In turn, these parameters predicted increases in listeners’ ratings of pain intensity. We also found that while different voice features contributed to increases in pain ratings within each level of expressed pain, a combination of these features explained an impressive amount of the variance in listeners’ pain ratings, both across (76%) and within (31–54%) pain levels. Our results show that adult vocalisers can volitionally simulate and modulate pain vocalisations to influence listeners’ perceptions of pain in a manner consistent with authentic human infant and nonhuman mammal pain vocalisations, and highlight potential for the development of a practical quantitative tool to improve pain assessment in populations unable to self-report their subjective pain experience.
DOI: 10.6084/m9.figshare.6795371
title: Data and code on the stochastic demography of Orchestia gammarellus and Manta alfredi.

description: Here, matlab scripts are provided to apply an integral projection model in which growth and reproduction were described using dynamic energy budget theory to the litter-feeding, bioturbating terrestrial crustacean <i>Orchestia gammarellus</i> and the reef manta ray <i>Manta alfredi</i> in order to identify which species is the most sensitive to shifts in temporal autocorrelation structure. Empirical data that were used to parameterise the model for <i>O. gammarellus </i>are given as well.
DOI: 10.17028/rd.lboro.6795395.v1
title: Data cleaning, temperature and gas demand weighting, and determining the DHW demand

description: These are the SI files for "Decarbonising domestic heating: what is the peak GB demand?"<br>The SI file contain information on data cleaning, temperature and gas demand weighting, and determining the DHW demand.<br>The Excel spreadsheet has sheets entitled: "Normalised total heat demand"; "Normalised space heat"; "Normalised DHW profile"; "Daily regression equations".
DOI: 10.6084/m9.figshare.6795371.v1
title: Data and code on the stochastic demography of Orchestia gammarellus and Manta alfredi.

description: Here, matlab scripts are provided to apply an integral projection model in which growth and reproduction were described using dynamic energy budget theory to the litter-feeding, bioturbating terrestrial crustacean <i>Orchestia gammarellus</i> and the reef manta ray <i>Manta alfredi</i> in order to identify which species is the most sensitive to shifts in temporal autocorrelation structure. Empirical data that were used to parameterise the model for <i>O. gammarellus </i>are given as well.
DOI: 10.6084/m9.figshare.6795365
title: Additional file 9: of Genome-wide identification and characterization of InDels and SNPs in Glycine max and Glycine soja for contrasting seed permeability traits

description: Functional annotation of 205 interacting patterns as identified for 7 selected genes. (XLS 184Â kb)
DOI: 10.6084/m9.figshare.6795365.v1
title: Additional file 9: of Genome-wide identification and characterization of InDels and SNPs in Glycine max and Glycine soja for contrasting seed permeability traits

description: Functional annotation of 205 interacting patterns as identified for 7 selected genes. (XLS 184Â kb)
DOI: 10.6084/m9.figshare.6795353
title: Additional file 5: of Genome-wide identification and characterization of InDels and SNPs in Glycine max and Glycine soja for contrasting seed permeability traits

description: Functional classification of non-synonymous SNPs and InDels into diverse pathways. (XLS 636Â kb)
DOI: 10.6084/m9.figshare.6795353.v1
title: Additional file 5: of Genome-wide identification and characterization of InDels and SNPs in Glycine max and Glycine soja for contrasting seed permeability traits

description: Functional classification of non-synonymous SNPs and InDels into diverse pathways. (XLS 636Â kb)
DOI: 10.6084/m9.figshare.6795347
title: Additional file 3: of Genome-wide identification and characterization of InDels and SNPs in Glycine max and Glycine soja for contrasting seed permeability traits

description: Identification of total SNPs in G. soja with respect to reference genome. (XLSX 19576Â kb)
DOI: 10.6084/m9.figshare.6795350
title: Additional file 4: of Genome-wide identification and characterization of InDels and SNPs in Glycine max and Glycine soja for contrasting seed permeability traits

description: Identification of total InDels in G. soja with respect to reference genome. (CSV 97568Â kb)
DOI: 10.6084/m9.figshare.6795347.v1
title: Additional file 3: of Genome-wide identification and characterization of InDels and SNPs in Glycine max and Glycine soja for contrasting seed permeability traits

description: Identification of total SNPs in G. soja with respect to reference genome. (XLSX 19576Â kb)
DOI: 10.6084/m9.figshare.6795344
title: Additional file 9: of Comprehensive genomic diagnosis of non-syndromic and syndromic hereditary hearing loss in Spanish patients

description: Variants identified in our cohort classified as pathogenic (DM) by HGMD for hearing-related phenotypes. (XLSX 11 kb)
DOI: 10.6084/m9.figshare.6795344.v1
title: Additional file 9: of Comprehensive genomic diagnosis of non-syndromic and syndromic hereditary hearing loss in Spanish patients

description: Variants identified in our cohort classified as pathogenic (DM) by HGMD for hearing-related phenotypes. (XLSX 11 kb)
DOI: 10.6084/m9.figshare.6795350.v1
title: Additional file 4: of Genome-wide identification and characterization of InDels and SNPs in Glycine max and Glycine soja for contrasting seed permeability traits

description: Identification of total InDels in G. soja with respect to reference genome. (CSV 97568Â kb)
DOI: 10.6084/m9.figshare.6795341
title: Additional file 8: of Comprehensive genomic diagnosis of non-syndromic and syndromic hereditary hearing loss in Spanish patients

description: Samples with STRC CNVs. (XLSX 9 kb)
DOI: 10.6084/m9.figshare.6795341.v1
title: Additional file 8: of Comprehensive genomic diagnosis of non-syndromic and syndromic hereditary hearing loss in Spanish patients

description: Samples with STRC CNVs. (XLSX 9 kb)
DOI: 10.6084/m9.figshare.6795335
title: Additional file 7: of Comprehensive genomic diagnosis of non-syndromic and syndromic hereditary hearing loss in Spanish patients

description: Primers used to validate causative (pathogenic and likely pathogenic) variants. (XLSX 13 kb)
DOI: 10.6084/m9.figshare.6795338
title: Additional file 2: of Genome-wide identification and characterization of InDels and SNPs in Glycine max and Glycine soja for contrasting seed permeability traits

description: Identification of total SNPs and InDels in G. max with respect to the reference genome. (XLSX 44647Â kb)
DOI: 10.6084/m9.figshare.6795338.v1
title: Additional file 2: of Genome-wide identification and characterization of InDels and SNPs in Glycine max and Glycine soja for contrasting seed permeability traits

description: Identification of total SNPs and InDels in G. max with respect to the reference genome. (XLSX 44647Â kb)
DOI: 10.6084/m9.figshare.6795335.v1
title: Additional file 7: of Comprehensive genomic diagnosis of non-syndromic and syndromic hereditary hearing loss in Spanish patients

description: Primers used to validate causative (pathogenic and likely pathogenic) variants. (XLSX 13 kb)
DOI: 10.6084/m9.figshare.6795329
title: Additional file 6: of Comprehensive genomic diagnosis of non-syndromic and syndromic hereditary hearing loss in Spanish patients

description: Highly homologous conflictive regions. (XLSX 11 kb)
DOI: 10.6084/m9.figshare.6795329.v1
title: Additional file 6: of Comprehensive genomic diagnosis of non-syndromic and syndromic hereditary hearing loss in Spanish patients

description: Highly homologous conflictive regions. (XLSX 11 kb)
DOI: 10.6084/m9.figshare.6795323
title: Additional file 5: of Comprehensive genomic diagnosis of non-syndromic and syndromic hereditary hearing loss in Spanish patients

description: Coverages and callabilities for every tier 1 and tier 2 gene on v3 samples. (XLSX 31 kb)
DOI: 10.6084/m9.figshare.6795323.v1
title: Additional file 5: of Comprehensive genomic diagnosis of non-syndromic and syndromic hereditary hearing loss in Spanish patients

description: Coverages and callabilities for every tier 1 and tier 2 gene on v3 samples. (XLSX 31 kb)
DOI: 10.6084/m9.figshare.6795317
title: Additional file 4: of Comprehensive genomic diagnosis of non-syndromic and syndromic hereditary hearing loss in Spanish patients

description: Cases analyzed with each panel version. (XLSX 10 kb)
DOI: 10.6084/m9.figshare.6795311
title: Additional file 3: of Comprehensive genomic diagnosis of non-syndromic and syndromic hereditary hearing loss in Spanish patients

description: Tier 1 and tier 2 genes included in v2 of the panel. (XLSX 13 kb)
DOI: 10.6084/m9.figshare.6795317.v1
title: Additional file 4: of Comprehensive genomic diagnosis of non-syndromic and syndromic hereditary hearing loss in Spanish patients

description: Cases analyzed with each panel version. (XLSX 10 kb)
DOI: 10.6084/m9.figshare.6795308
title: Additional file 1 of Open networks from within: input or output betweenness centrality of nodes in directed networks

description: Table of the centrality measures for the Florida Bay food web. The values of Out-degree, In-degree, Hub score, Authority score, IBC and OBC for all the nodes in the Florida Bay food web are listed in table_floridabay.csv. (CSV 14 kb)
DOI: 10.6084/m9.figshare.6795308.v1
title: Additional file 1 of Open networks from within: input or output betweenness centrality of nodes in directed networks

description: Table of the centrality measures for the Florida Bay food web. The values of Out-degree, In-degree, Hub score, Authority score, IBC and OBC for all the nodes in the Florida Bay food web are listed in table_floridabay.csv. (CSV 14 kb)
DOI: 10.6084/m9.figshare.6795311.v1
title: Additional file 3: of Comprehensive genomic diagnosis of non-syndromic and syndromic hereditary hearing loss in Spanish patients

description: Tier 1 and tier 2 genes included in v2 of the panel. (XLSX 13 kb)
DOI: 10.6084/m9.figshare.6795296
title: Additional file 2: of Comprehensive genomic diagnosis of non-syndromic and syndromic hereditary hearing loss in Spanish patients

description: Tier 1 and tier 2 genes included in v1 of the panel. (XLSX 13 kb)
DOI: 10.6084/m9.figshare.6795296.v1
title: Additional file 2: of Comprehensive genomic diagnosis of non-syndromic and syndromic hereditary hearing loss in Spanish patients

description: Tier 1 and tier 2 genes included in v1 of the panel. (XLSX 13 kb)
DOI: 10.6084/m9.figshare.6795293
title: Additional file 2 of Beyond the one-way ANOVA for â omics data

description: Lipidomics model assessment. Table containing the overall assessment of statistical significance and the model fitted for each lipid under both RFM and MRF. (PDF 8 kb)
DOI: 10.6084/m9.figshare.6795293.v1
title: Additional file 2 of Beyond the one-way ANOVA for â omics data

description: Lipidomics model assessment. Table containing the overall assessment of statistical significance and the model fitted for each lipid under both RFM and MRF. (PDF 8 kb)
DOI: 10.6084/m9.figshare.6795284
title: Additional file 1: of Comprehensive genomic diagnosis of non-syndromic and syndromic hereditary hearing loss in Spanish patients

description: List of phenotypes potentially related to hearing defects used as keywords for initial query on HGMD. (XLSX 16 kb)
DOI: 10.6084/m9.figshare.6795284.v1
title: Additional file 1: of Comprehensive genomic diagnosis of non-syndromic and syndromic hereditary hearing loss in Spanish patients

description: List of phenotypes potentially related to hearing defects used as keywords for initial query on HGMD. (XLSX 16 kb)