cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.8947910
title: Additional file 1: of Neuroinvasion of Toxocara canis- and T. cati-larvae mediates dynamic changes in brain cytokine and chemokine profile

description: Body and brain masses as well as brain-body mass ratios during the course of neurotoxocarosis. Additional file 1 shows body and brain masses as mean ± SD in [mg] as well as the brain-body mass ratios in uninfected control mice and T. canis- and T. cati-infected mice (n = 5). P-values of conducted t-test or Mann-Whitney U test between infected and uninfected animals are listed. (XLSX 104 kb)
DOI: 10.6084/m9.figshare.8947910.v1
title: Additional file 1: of Neuroinvasion of Toxocara canis- and T. cati-larvae mediates dynamic changes in brain cytokine and chemokine profile

description: Body and brain masses as well as brain-body mass ratios during the course of neurotoxocarosis. Additional file 1 shows body and brain masses as mean ± SD in [mg] as well as the brain-body mass ratios in uninfected control mice and T. canis- and T. cati-infected mice (n = 5). P-values of conducted t-test or Mann-Whitney U test between infected and uninfected animals are listed. (XLSX 104 kb)
DOI: 10.6084/m9.figshare.8947892
title: Additional file 8: of Oncolytic Maraba virus armed with tumor antigen boosts vaccine priming and reveals diverse therapeutic response patterns when combined with checkpoint blockade in ovarian cancer

description: Table S2. Upregulated Immunosuppressive Genes: MIS416 Vaxâ +â MRB-OVA vs Untreated. (XLS 23 kb)
DOI: 10.6084/m9.figshare.8947889
title: Additional file 7: of Oncolytic Maraba virus armed with tumor antigen boosts vaccine priming and reveals diverse therapeutic response patterns when combined with checkpoint blockade in ovarian cancer

description: Table S1. Differentially Expressed Genes MIS416 Vaxâ +â MRB-OVA vs Untreated. (XLS 26 kb)
DOI: 10.6084/m9.figshare.8947892.v1
title: Additional file 8: of Oncolytic Maraba virus armed with tumor antigen boosts vaccine priming and reveals diverse therapeutic response patterns when combined with checkpoint blockade in ovarian cancer

description: Table S2. Upregulated Immunosuppressive Genes: MIS416 Vaxâ +â MRB-OVA vs Untreated. (XLS 23 kb)
DOI: 10.6084/m9.figshare.8947889.v1
title: Additional file 7: of Oncolytic Maraba virus armed with tumor antigen boosts vaccine priming and reveals diverse therapeutic response patterns when combined with checkpoint blockade in ovarian cancer

description: Table S1. Differentially Expressed Genes MIS416 Vaxâ +â MRB-OVA vs Untreated. (XLS 26 kb)
DOI: 10.6084/m9.figshare.8947847
title: Additional file 2: of Taxonomic features and comparisons of the gut microbiome from two edible fungus-farming termites (Macrotermes falciger; M. natalensis) harvested in the Vhembe district of Limpopo, South Africa

description: Table S2. Metadata correlation for Run2 sample taxonomy. Correlations for Run2 samples between metadata variables (gut mass, DNA concentration in extraction, qPCR cq value, and diversity metrics) and taxonomic abundance summarized at the genus (L6) level. Significant values after FDR correction highlighted in yellow (XLSX 20 kb)
DOI: 10.6084/m9.figshare.8947841
title: Additional file 1: of Taxonomic features and comparisons of the gut microbiome from two edible fungus-farming termites (Macrotermes falciger; M. natalensis) harvested in the Vhembe district of Limpopo, South Africa

description: Table S1. Sample metadata. All sample metadata information of this study data and external data used can be found here. (XLSX 30 kb)
DOI: 10.6084/m9.figshare.8947847.v1
title: Additional file 2: of Taxonomic features and comparisons of the gut microbiome from two edible fungus-farming termites (Macrotermes falciger; M. natalensis) harvested in the Vhembe district of Limpopo, South Africa

description: Table S2. Metadata correlation for Run2 sample taxonomy. Correlations for Run2 samples between metadata variables (gut mass, DNA concentration in extraction, qPCR cq value, and diversity metrics) and taxonomic abundance summarized at the genus (L6) level. Significant values after FDR correction highlighted in yellow (XLSX 20 kb)
DOI: 10.6084/m9.figshare.8947841.v1
title: Additional file 1: of Taxonomic features and comparisons of the gut microbiome from two edible fungus-farming termites (Macrotermes falciger; M. natalensis) harvested in the Vhembe district of Limpopo, South Africa

description: Table S1. Sample metadata. All sample metadata information of this study data and external data used can be found here. (XLSX 30 kb)
DOI: 10.6084/m9.figshare.8947820
title: Additional file 6: of Multilayered control of exon acquisition permits the emergence of novel forms of regulatory control

description: Table S5. GO terms results from GProfiler for exonization events identified depleted in cancer samples. (XLSX 254 kb)
DOI: 10.6084/m9.figshare.8947817
title: Additional file 5: of Multilayered control of exon acquisition permits the emergence of novel forms of regulatory control

description: Table S4. Datasets used in paper including description and relevant figures information plus PubMed ID and SRA ID. (XLSX 54 kb)
DOI: 10.6084/m9.figshare.8947814
title: MOESM4 of Modulation of posterior intestinal mucosal proteome in rainbow trout (Oncorhynchus mykiss) after Yersinia ruckeri infection

description: Additional file 4. List of up or down-regulated posterior intestine proteins of rainbow trout in response to Yersinia ruckeri strains at 3 dpe. Fold change was statistically analyzed in the posterior intestine of rainbow trout exposed to Y. ruckeri biotype 1 (CSF007-82) and biotype 2 (A7959–11) versus control posterior intestine rainbow trout samples (n = 3 per time point). * denotes statistically significant difference according to both ANOVA and post hoc Tukey’s HSD with FDR-adjusted p-value +2.
DOI: 10.6084/m9.figshare.8947820.v1
title: Additional file 6: of Multilayered control of exon acquisition permits the emergence of novel forms of regulatory control

description: Table S5. GO terms results from GProfiler for exonization events identified depleted in cancer samples. (XLSX 254 kb)
DOI: 10.6084/m9.figshare.8947811
title: Additional file 4 of Multilayered control of exon acquisition permits the emergence of novel forms of regulatory control

description: Table S3. Coordinates, gene names and associated RNA binding knockdown identification for identified novel exon events.) (XLSX 764 kb)
DOI: 10.6084/m9.figshare.8947817.v1
title: Additional file 5: of Multilayered control of exon acquisition permits the emergence of novel forms of regulatory control

description: Table S4. Datasets used in paper including description and relevant figures information plus PubMed ID and SRA ID. (XLSX 54 kb)
DOI: 10.6084/m9.figshare.8947808
title: MOESM3 of Modulation of posterior intestinal mucosal proteome in rainbow trout (Oncorhynchus mykiss) after Yersinia ruckeri infection

description: Additional file 3. The details of total identified posterior intestine proteins of rainbow trout. The number of proteins was identified at false discovery rate of 1% and minimum two peptides.
DOI: 10.6084/m9.figshare.8947811.v1
title: Additional file 4 of Multilayered control of exon acquisition permits the emergence of novel forms of regulatory control

description: Table S3. Coordinates, gene names and associated RNA binding knockdown identification for identified novel exon events.) (XLSX 764 kb)
DOI: 10.6084/m9.figshare.8947814.v1
title: MOESM4 of Modulation of posterior intestinal mucosal proteome in rainbow trout (Oncorhynchus mykiss) after Yersinia ruckeri infection

description: Additional file 4. List of up or down-regulated posterior intestine proteins of rainbow trout in response to Yersinia ruckeri strains at 3 dpe. Fold change was statistically analyzed in the posterior intestine of rainbow trout exposed to Y. ruckeri biotype 1 (CSF007-82) and biotype 2 (A7959–11) versus control posterior intestine rainbow trout samples (n = 3 per time point). * denotes statistically significant difference according to both ANOVA and post hoc Tukey’s HSD with FDR-adjusted p-value +2.
DOI: 10.6084/m9.figshare.8947799
title: Additional file 2: of Multilayered control of exon acquisition permits the emergence of novel forms of regulatory control

description: Table S1. Genomic and splicing features used in logistic linear regression model. (XLSX 40 kb)
DOI: 10.6084/m9.figshare.8947802
title: Additional file 3: of Multilayered control of exon acquisition permits the emergence of novel forms of regulatory control

description: Table S2. GO terms results for genes with exonization events. (XLSX 109 kb)
DOI: 10.6084/m9.figshare.8947808.v1
title: MOESM3 of Modulation of posterior intestinal mucosal proteome in rainbow trout (Oncorhynchus mykiss) after Yersinia ruckeri infection

description: Additional file 3. The details of total identified posterior intestine proteins of rainbow trout. The number of proteins was identified at false discovery rate of 1% and minimum two peptides.
DOI: 10.6084/m9.figshare.8947796
title: Additional file 4: of Analysis of the equine “cumulome” reveals major metabolic aberrations after maturation in vitro

description: Table S4. Additional information on donor mares and follicles for the in vivo and in vitro matured groups. Mann-Whitney test indicated no significant difference for mare age (p = 0.2) and a significant difference for follicle size (p = 0.04) between the two maturation groups. (XLSX 10 kb)
DOI: 10.6084/m9.figshare.8947799.v1
title: Additional file 2: of Multilayered control of exon acquisition permits the emergence of novel forms of regulatory control

description: Table S1. Genomic and splicing features used in logistic linear regression model. (XLSX 40 kb)
DOI: 10.6084/m9.figshare.8947802.v1
title: Additional file 3: of Multilayered control of exon acquisition permits the emergence of novel forms of regulatory control

description: Table S2. GO terms results for genes with exonization events. (XLSX 109 kb)
DOI: 10.6084/m9.figshare.8947790
title: MOESM1 of Modulation of posterior intestinal mucosal proteome in rainbow trout (Oncorhynchus mykiss) after Yersinia ruckeri infection

description: Additional file 1. Ion library. Text file based on IDA runs (independent data acquisition) of the intestine samples used for data interpretation of SWATH acquisitions obtained by PeakView 2.2 software (Sciex).
DOI: 10.6084/m9.figshare.8947796.v1
title: Additional file 4: of Analysis of the equine “cumulome” reveals major metabolic aberrations after maturation in vitro

description: Table S4. Additional information on donor mares and follicles for the in vivo and in vitro matured groups. Mann-Whitney test indicated no significant difference for mare age (p = 0.2) and a significant difference for follicle size (p = 0.04) between the two maturation groups. (XLSX 10 kb)
DOI: 10.6084/m9.figshare.8947784
title: Additional file 2: of Analysis of the equine “cumulome” reveals major metabolic aberrations after maturation in vitro

description: Table S2. All 108 metabolic compounds with a significant different (p 2) abundance between the two maturation groups. Here, 84 compounds showed a higher abundance in the in vitro group and 24 compounds a lower abundance compared to those in the in vivo matured group. For 28 compounds, putative metabolite IDs were found (6 with lower abundance and 22 with higher abundance after in vitro maturation). (XLSX 84 kb)
DOI: 10.6084/m9.figshare.8947787
title: Additional file 3: of Analysis of the equine “cumulome” reveals major metabolic aberrations after maturation in vitro

description: Table S3. All 905 measured metabolomic compounds (Progenesis QI Output Measurements). (XLSX 481 kb)
DOI: 10.6084/m9.figshare.8947790.v1
title: MOESM1 of Modulation of posterior intestinal mucosal proteome in rainbow trout (Oncorhynchus mykiss) after Yersinia ruckeri infection

description: Additional file 1. Ion library. Text file based on IDA runs (independent data acquisition) of the intestine samples used for data interpretation of SWATH acquisitions obtained by PeakView 2.2 software (Sciex).
DOI: 10.6084/m9.figshare.8947784.v1
title: Additional file 2: of Analysis of the equine “cumulome” reveals major metabolic aberrations after maturation in vitro

description: Table S2. All 108 metabolic compounds with a significant different (p 2) abundance between the two maturation groups. Here, 84 compounds showed a higher abundance in the in vitro group and 24 compounds a lower abundance compared to those in the in vivo matured group. For 28 compounds, putative metabolite IDs were found (6 with lower abundance and 22 with higher abundance after in vitro maturation). (XLSX 84 kb)
DOI: 10.6084/m9.figshare.8947778
title: Additional file 1: of Analysis of the equine “cumulome” reveals major metabolic aberrations after maturation in vitro

description: Table S1. All 216 differentially expressed proteins (p ≤ 0.05; FC ≥ 2); 204 with unique UniProt IDs. Of these proteins, 95 were significantly underexpressed in the in vitro matured group, and 86 of these proteins were linked to a unique orthologous human UniProt ID (Fig. 1). In the in vitro group, 121 proteins (118 with unique orthologous human UniProt IDs) were significantly overexpressed. (XLSX 140 kb)
DOI: 10.6084/m9.figshare.8947787.v1
title: Additional file 3: of Analysis of the equine “cumulome” reveals major metabolic aberrations after maturation in vitro

description: Table S3. All 905 measured metabolomic compounds (Progenesis QI Output Measurements). (XLSX 481 kb)
DOI: 10.6084/m9.figshare.8947778.v1
title: Additional file 1: of Analysis of the equine “cumulome” reveals major metabolic aberrations after maturation in vitro

description: Table S1. All 216 differentially expressed proteins (p ≤ 0.05; FC ≥ 2); 204 with unique UniProt IDs. Of these proteins, 95 were significantly underexpressed in the in vitro matured group, and 86 of these proteins were linked to a unique orthologous human UniProt ID (Fig. 1). In the in vitro group, 121 proteins (118 with unique orthologous human UniProt IDs) were significantly overexpressed. (XLSX 140 kb)
DOI: 10.6084/m9.figshare.8947697
title: Additional file 2: of CellSIUS provides sensitive and specific detection of rare cell populations from complex single-cell RNA-seq data

description: Table S4. DE analysis between subclusters and main clusters in the neuroscience dataset. The file contains one sheet per comparison. All sheets are listed below: G.sub_1_vs_all_G: compares the G.sub_1 population to all other cells in the G cluster. G.sub_2_vs_all_G: compares the G.sub_2 population to all other cells in the G cluster. G.sub_3_vs_all_G: compares the G.sub_3 population to all other cells in the G cluster. CR.sub_vs_all_CR: compares the CR.sub population to all other cells in the CR cluster. NP.sub_vs_all_NP: compares the NP.sub population to all other cells in the NP cluster. N.sub_1_vs_all_N: compares the N.sub_1 population to all other cells in the N cluster. N.sub_2_vs_all_N: compares the N.sub_2 population to all other cells in the N cluster. Each sheet contains the following columns: Gene_id: Ensembl gene ID. Mean_exprs: Mean expression [log2(normalized counts + 1)] across the whole dataset. Mean_in_subgroup: Mean expression in the respective subgroup. Pval, adj_pval: p value (Wilcoxon test), adj_pval is adjusted p value (Benjamini-Hochberg). Log2fc: Fold change, calculated as the difference in mean[log2(normalized counts + 1)]. DE_flag: is TRUE if abs(log2fc) &gt; 0.5 and adj_pval
DOI: 10.6084/m9.figshare.8947697.v1
title: Additional file 2: of CellSIUS provides sensitive and specific detection of rare cell populations from complex single-cell RNA-seq data

description: Table S4. DE analysis between subclusters and main clusters in the neuroscience dataset. The file contains one sheet per comparison. All sheets are listed below: G.sub_1_vs_all_G: compares the G.sub_1 population to all other cells in the G cluster. G.sub_2_vs_all_G: compares the G.sub_2 population to all other cells in the G cluster. G.sub_3_vs_all_G: compares the G.sub_3 population to all other cells in the G cluster. CR.sub_vs_all_CR: compares the CR.sub population to all other cells in the CR cluster. NP.sub_vs_all_NP: compares the NP.sub population to all other cells in the NP cluster. N.sub_1_vs_all_N: compares the N.sub_1 population to all other cells in the N cluster. N.sub_2_vs_all_N: compares the N.sub_2 population to all other cells in the N cluster. Each sheet contains the following columns: Gene_id: Ensembl gene ID. Mean_exprs: Mean expression [log2(normalized counts + 1)] across the whole dataset. Mean_in_subgroup: Mean expression in the respective subgroup. Pval, adj_pval: p value (Wilcoxon test), adj_pval is adjusted p value (Benjamini-Hochberg). Log2fc: Fold change, calculated as the difference in mean[log2(normalized counts + 1)]. DE_flag: is TRUE if abs(log2fc) &gt; 0.5 and adj_pval
DOI: 10.6084/m9.figshare.8947505
title: Untitled Item

description: aaaa testaaa
DOI: 10.6084/m9.figshare.8947505.v1
title: Untitled Item

description: aaaa test
DOI: 10.6084/m9.figshare.8947484
title: Lima et al. Manuscript.xlsx

description: Data from the Lima et al. manuscript investigating the impact of antioxidant supplementation on recovery of running economy and exercise-induced muscle damage following downhill running.
DOI: 10.6084/m9.figshare.8947478
title: intestinal microbiota_OUT

description: Operational taxonomic unit (OTU) generated from 16s rRNA sequencing of intestinal microbiota.
DOI: 10.6084/m9.figshare.8947484.v1
title: Lima et al. Manuscript.xlsx

description: Data from the Lima et al. manuscript investigating the impact of antioxidant supplementation on recovery of running economy and exercise-induced muscle damage following downhill running.
DOI: 10.6084/m9.figshare.8947478.v2
title: intestinal microbiota_OUT

description: Operational taxonomic unit (OTU) generated from 16s rRNA sequencing of intestinal microbiota.
DOI: 10.6084/m9.figshare.8947478.v1
title: intestinal microbiota_OUT

description: Operational taxonomic unit (OTU) generated from 16s rRNA sequencing of intestinal microbiota.
DOI: 10.6084/m9.figshare.8947442
title: grid.15276.37

description: Network Graphs for institution grid.15276.37 created for "What Does a University Look Like?" poster
DOI: 10.6084/m9.figshare.8947436
title: Banco de dados para pesquisadores de gestantes atendidas com Infecções Sexualmente Transmissíveis na Maternidade Climério de Oliveira, Brasil

description: Banco de Dados hospedado no REDcap do HCPA contendo gestantes atendidas em maternidade pública federal de Salvador.<br>
DOI: 10.6084/m9.figshare.8947442.v1
title: grid.15276.37

description: Network Graphs for institution grid.15276.37 created for "What Does a University Look Like?" poster
DOI: 10.6084/m9.figshare.8947310
title: reproducibilitydata.csv

description: A rubric, created by the authors, that was followed throughout reading the 25 (Ecology, Astrogeology and Geology) manuscripts. The rubric is used to outline reproducibility factors found, or not found, that establish authority, credibility, and scientific integrity. The metadata attached includes a data dictionary, with description of attributes and the codes used. The code script attached was created in R-Studio, by mentor M. Langseth at USGS. The core process in the project process began with, and revolved around, analyzing 25 scientific manuscripts. These manuscripts were analyzed based on a reproducibility rubric created by the authors. Papers were chosen and separated based on publication year (pre-2016/post-2016) and disciplines (Ecology/Astrogeology/Geology). The rubric was created using google sheets, and aided the authors in search for all factors agreed valuable for reproducibility. For each manuscript, data, software, and author information was being looked for in-text, in approved repositories, and on publisher website. Once authors individually analyzed chosen manuscripts and demonstrated qualities of the papers’ on rubric, a combined reproducibility data sheet was created using google sheets. Metadata was provided along with combined data sheet, which includes attributes, descriptions of the attributes and related codes. Using R-studio, a script, with data points based on a CSV (comma-separated value) download of the author’s reproducibility data, was created to demonstrate findings visually. For the figures, "percentage of publications" (y-axis), is based off of the total 25 manuscripts read by both of the authors. Descriptions of attributes in figures, defined in data dictionary. The images included in this data set demonstrate how we found certain samples and data. The image of the slides are from pollen samples in the paper we had read from 1978. The samples in the slide have started to die, or are chemically degrading. This outlines the purpose behind publishing samples in an online database, in order to preserve this pivotal aspect of science for years to come. This same purpose is demonstrated with the image of the document. The paper is crumbing, and the words are wearing quickly. In order to preserve the document for future science and research, an online version should be available. A metadata record has been attached to this data set in txt, html, and xml formats.<br>
DOI: 10.6084/m9.figshare.8947310.v1
title: reproducibilitydata.csv

description: A rubric, created by the authors, that was followed throughout reading the 25 (Ecology, Astrogeology and Geology) manuscripts. The rubric is used to outline reproducibility factors found, or not found, that establish authority, credibility, and scientific integrity. The metadata attached includes a data dictionary, with description of attributes and the codes used. The code script attached was created in R-Studio, by mentor M. Langseth at USGS. The core process in the project process began with, and revolved around, analyzing 25 scientific manuscripts. These manuscripts were analyzed based on a reproducibility rubric created by the authors. Papers were chosen and separated based on publication year (pre-2016/post-2016) and disciplines (Ecology/Astrogeology/Geology). The rubric was created using google sheets, and aided the authors in search for all factors agreed valuable for reproducibility. For each manuscript, data, software, and author information was being looked for in-text, in approved repositories, and on publisher website. Once authors individually analyzed chosen manuscripts and demonstrated qualities of the papers’ on rubric, a combined reproducibility data sheet was created using google sheets. Metadata was provided along with combined data sheet, which includes attributes, descriptions of the attributes and related codes. Using R-studio, a script, with data points based on a CSV (comma-separated value) download of the author’s reproducibility data, was created to demonstrate findings visually. For the figures, "percentage of publications" (y-axis), is based off of the total 25 manuscripts read by both of the authors. Descriptions of attributes in figures, defined in data dictionary. The images included in this data set demonstrate how we found certain samples and data. The image of the slides are from pollen samples in the paper we had read from 1978. The samples in the slide have started to die, or are chemically degrading. This outlines the purpose behind publishing samples in an online database, in order to preserve this pivotal aspect of science for years to come. This same purpose is demonstrated with the image of the document. The paper is crumbing, and the words are wearing quickly. In order to preserve the document for future science and research, an online version should be available. A metadata record has been attached to this data set in txt, html, and xml formats.<br>
DOI: 10.6084/m9.figshare.8947157
title: DataSetSuárez-Mariñoetal.xlsx

description: File DataHandpollinationexperiment. Data set to test the effect of the heterospecific pollen of the invasive species Bidens pilosa in two native species. Four treatments were applied.File DataSetField: Data set of the hetrospecific pollen deposition (pollen trasnfer) between one invasive (Bidens pilosa) and two native species (Scaevola plumieri and Cakile edentula)