cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13632845
title: Additional file 8 of Single-cell resolution landscape of equine peripheral blood mononuclear cells reveals diverse cell types including T-bet+ B cells

description: Additional file 8. Differentially expressed genes for CD3+PRF1+ cell clusters.
DOI: 10.6084/m9.figshare.13632848.v1
title: Additional file 9 of Single-cell resolution landscape of equine peripheral blood mononuclear cells reveals diverse cell types including T-bet+ B cells

description: Additional file 9. Differentially expressed genes for CD3+PRF1− cell clusters.
DOI: 10.6084/m9.figshare.13632836.v1
title: Additional file 5 of Single-cell resolution landscape of equine peripheral blood mononuclear cells reveals diverse cell types including T-bet+ B cells

description: additional file 5. Differentially expressed genes within dendritic cell clusters only.
DOI: 10.6084/m9.figshare.13632830.v1
title: Additional file 3 of Single-cell resolution landscape of equine peripheral blood mononuclear cells reveals diverse cell types including T-bet+ B cells

description: Additional file 3. Differentially expressed genes for monocyte and dendritic cell clusters.
DOI: 10.6084/m9.figshare.13632882.v1
title: Additional file 4 of Evaluation of the contribution of tropical cyclone seeds to changes in tropical cyclone frequency due to global warming in high-resolution multi-model ensemble simulations

description: Additional file 4.
DOI: 10.6084/m9.figshare.13632882
title: Additional file 4 of Evaluation of the contribution of tropical cyclone seeds to changes in tropical cyclone frequency due to global warming in high-resolution multi-model ensemble simulations

description: Additional file 4.
DOI: 10.6084/m9.figshare.13627153.v1
title: Additional file 5 of QTL mapping of agronomic and economic traits for four F2 populations of upland cotton

description: Additional file 5: Table S1. The polymorphism primers information between four pairs of parents.
DOI: 10.6084/m9.figshare.13627156.v1
title: Additional file 6 of QTL mapping of agronomic and economic traits for four F2 populations of upland cotton

description: Additional file 6: Table S2. The linkage group of four populations.
DOI: 10.6084/m9.figshare.13627159
title: Additional file 7 of QTL mapping of agronomic and economic traits for four F2 populations of upland cotton

description: Additional file 7: Table S3. Integrated analysis of paired trait QTLs and direction of additive.
DOI: 10.6084/m9.figshare.13627153
title: Additional file 5 of QTL mapping of agronomic and economic traits for four F2 populations of upland cotton

description: Additional file 5: Table S1. The polymorphism primers information between four pairs of parents.
DOI: 10.6084/m9.figshare.13627156
title: Additional file 6 of QTL mapping of agronomic and economic traits for four F2 populations of upland cotton

description: Additional file 6: Table S2. The linkage group of four populations.
DOI: 10.6084/m9.figshare.13627159.v1
title: Additional file 7 of QTL mapping of agronomic and economic traits for four F2 populations of upland cotton

description: Additional file 7: Table S3. Integrated analysis of paired trait QTLs and direction of additive.
DOI: 10.6084/m9.figshare.13632960.v1
title: Additional file 2 of A mixed community of skin microbiome representatives influences cutaneous processes more than individual members

description: Additional file 1. Microorganism Isolate Information. Table containing information for the bacterial microorganisms used in this study. Table containing the identifying genus, the isolate identifier used by the collecting study, the 16S rRNA sequence, and the least common ancestors of the bacterial isolate determined by classification to the Greengenes, RDP, and SILVA databases [42].
DOI: 10.6084/m9.figshare.13632960
title: Additional file 2 of A mixed community of skin microbiome representatives influences cutaneous processes more than individual members

description: Additional file 1. Microorganism Isolate Information. Table containing information for the bacterial microorganisms used in this study. Table containing the identifying genus, the isolate identifier used by the collecting study, the 16S rRNA sequence, and the least common ancestors of the bacterial isolate determined by classification to the Greengenes, RDP, and SILVA databases [42].
DOI: 10.6084/m9.figshare.13632966
title: Additional file 4 of A mixed community of skin microbiome representatives influences cutaneous processes more than individual members

description: Additional file 3. Quality Assessment of RNA-Sequencing Data. This file shows quality control metrics for the sequences of each individual sample. This includes the number of reads in the sample, the number and percentage of those reads that were mapped to the transcriptome, the number and percentage of total transcripts covered, and the number and percentage of total genes hit. Additionally, we assessed Pearson correlations of each individual sample within a biological treatment group.
DOI: 10.6084/m9.figshare.13632972.v1
title: Additional file 6 of A mixed community of skin microbiome representatives influences cutaneous processes more than individual members

description: Additional file 5. Gene Set Overrepresentation Test Data. This file contains input and output information important to the Gene Set Overrepresentation Test. Genes used for the background gene list. The output data from the PANTHER Overrepresentation tests is also shown. (PDF 1358 kb)
DOI: 10.6084/m9.figshare.13632966.v1
title: Additional file 4 of A mixed community of skin microbiome representatives influences cutaneous processes more than individual members

description: Additional file 3. Quality Assessment of RNA-Sequencing Data. This file shows quality control metrics for the sequences of each individual sample. This includes the number of reads in the sample, the number and percentage of those reads that were mapped to the transcriptome, the number and percentage of total transcripts covered, and the number and percentage of total genes hit. Additionally, we assessed Pearson correlations of each individual sample within a biological treatment group.
DOI: 10.6084/m9.figshare.13632972
title: Additional file 6 of A mixed community of skin microbiome representatives influences cutaneous processes more than individual members

description: Additional file 5. Gene Set Overrepresentation Test Data. This file contains input and output information important to the Gene Set Overrepresentation Test. Genes used for the background gene list. The output data from the PANTHER Overrepresentation tests is also shown. (PDF 1358 kb)
DOI: 10.6084/m9.figshare.13632969
title: Additional file 5 of A mixed community of skin microbiome representatives influences cutaneous processes more than individual members

description: Additional file 4. Differential Gene Expression Data. This file contains the differential gene expression analysis for each microbiome treatment relative to the axenic control. Each gene included in the analysis is shown, including the basemean, log2 fold change, log2 fold change unshrunk, p-value, and adjusted p-value, as given by DESeq2.
DOI: 10.6084/m9.figshare.13632969.v1
title: Additional file 5 of A mixed community of skin microbiome representatives influences cutaneous processes more than individual members

description: Additional file 4. Differential Gene Expression Data. This file contains the differential gene expression analysis for each microbiome treatment relative to the axenic control. Each gene included in the analysis is shown, including the basemean, log2 fold change, log2 fold change unshrunk, p-value, and adjusted p-value, as given by DESeq2.
DOI: 10.6084/m9.figshare.13632975
title: Additional file 7 of A mixed community of skin microbiome representatives influences cutaneous processes more than individual members

description: Additional file 6. Antimicrobial Peptide Gene Expression. This file contains differential gene expression data (Log2 fold change and the adjusted p-value) for genes that encode for antimicrobial proteins and peptides. Citations for the individual genes are also includes. (XLSX 250 kb)
DOI: 10.6084/m9.figshare.13632995.v1
title: Additional file 6 of MicroExonator enables systematic discovery and quantification of microexons across mouse embryonic development

description: Additional file 6: Table S6. Differential inclusion of splicing nodes between GABA-ergic and glutamatergic neurons. The total set of splicing nodes analysed by snakepool. Negative DeltaPsi.mean values indicate higher inclusion in glutamatergic neurons and positive values indicate higher inclusion in GABA-ergic neurons. The column is.diff indicates significant differences between splicing node inclusion levels and microexon_ID provides the corresponding coordinates of microexon quantified as splicing nodes.
DOI: 10.6084/m9.figshare.13632998
title: Additional file 7 of MicroExonator enables systematic discovery and quantification of microexons across mouse embryonic development

description: Additional file 7. Text file used by MicroExonator to retrieve the analysed RNA-seq from ENCODE. It contains the ENCODE accession codes and URLs from all the experiments analysed for this article.
DOI: 10.6084/m9.figshare.13632986
title: Additional file 3 of MicroExonator enables systematic discovery and quantification of microexons across mouse embryonic development

description: Additional file 3: Table S2. Condition groups assigned to each analysed bulk RNA-seq sample.
DOI: 10.6084/m9.figshare.13632995
title: Additional file 6 of MicroExonator enables systematic discovery and quantification of microexons across mouse embryonic development

description: Additional file 6: Table S6. Differential inclusion of splicing nodes between GABA-ergic and glutamatergic neurons. The total set of splicing nodes analysed by snakepool. Negative DeltaPsi.mean values indicate higher inclusion in glutamatergic neurons and positive values indicate higher inclusion in GABA-ergic neurons. The column is.diff indicates significant differences between splicing node inclusion levels and microexon_ID provides the corresponding coordinates of microexon quantified as splicing nodes.
DOI: 10.6084/m9.figshare.13632986.v1
title: Additional file 3 of MicroExonator enables systematic discovery and quantification of microexons across mouse embryonic development

description: Additional file 3: Table S2. Condition groups assigned to each analysed bulk RNA-seq sample.
DOI: 10.6084/m9.figshare.13632983
title: Additional file 2 of MicroExonator enables systematic discovery and quantification of microexons across mouse embryonic development

description: Additional file 2: Table S1. High confidence list of detected microexons. Here we report all of the high confidence microexons detected by MicroExonator from mouse bulk and scRNA-seq. The table also includes information about the downstream analyses. Columns PC1-3 summarize the PPCA results; In.10_percent_of_bulk indicates if the microexon was supported by &gt;5 reads in &gt;10% of bulk RNA-seq samples; MHN/F.diff columns indicate if they were found to be alternatively included in these sample groups at any of the time points that were compared with the control group. For the microexons that remained differentially included during brain development MHN/F.change_dir and MHN/F.diff_age indicate the direction of inclusion and the embryonic stage since they started to be detected as differentially included.
DOI: 10.6084/m9.figshare.13632983.v1
title: Additional file 2 of MicroExonator enables systematic discovery and quantification of microexons across mouse embryonic development

description: Additional file 2: Table S1. High confidence list of detected microexons. Here we report all of the high confidence microexons detected by MicroExonator from mouse bulk and scRNA-seq. The table also includes information about the downstream analyses. Columns PC1-3 summarize the PPCA results; In.10_percent_of_bulk indicates if the microexon was supported by &gt;5 reads in &gt;10% of bulk RNA-seq samples; MHN/F.diff columns indicate if they were found to be alternatively included in these sample groups at any of the time points that were compared with the control group. For the microexons that remained differentially included during brain development MHN/F.change_dir and MHN/F.diff_age indicate the direction of inclusion and the embryonic stage since they started to be detected as differentially included.
DOI: 10.6084/m9.figshare.13633001
title: Additional file 8 of MicroExonator enables systematic discovery and quantification of microexons across mouse embryonic development

description: Additional file 8. R Notebook file.
DOI: 10.6084/m9.figshare.13632992
title: Additional file 5 of MicroExonator enables systematic discovery and quantification of microexons across mouse embryonic development

description: Additional file 5: Table S5. Overlapping microexons between mouse and zebrafish.
DOI: 10.6084/m9.figshare.13632992.v1
title: Additional file 5 of MicroExonator enables systematic discovery and quantification of microexons across mouse embryonic development

description: Additional file 5: Table S5. Overlapping microexons between mouse and zebrafish.
DOI: 10.6084/m9.figshare.13632998.v1
title: Additional file 7 of MicroExonator enables systematic discovery and quantification of microexons across mouse embryonic development

description: Additional file 7. Text file used by MicroExonator to retrieve the analysed RNA-seq from ENCODE. It contains the ENCODE accession codes and URLs from all the experiments analysed for this article.
DOI: 10.6084/m9.figshare.13632989
title: Additional file 4 of MicroExonator enables systematic discovery and quantification of microexons across mouse embryonic development

description: Additional file 4: Table S4. Microexons detected in zebrafish. This table shows the output from MicroExonator when applied to the zebrafish RNA-seq samples.
DOI: 10.6084/m9.figshare.13633001.v1
title: Additional file 8 of MicroExonator enables systematic discovery and quantification of microexons across mouse embryonic development

description: Additional file 8. R Notebook file.
DOI: 10.6084/m9.figshare.13633017.v1
title: Additional file 1 of Musculo-skeletal phenotype of Costello syndrome and cardio-facio-cutaneous syndrome: insights on the functional assessment status

description: Additional file 1: Table S1. Musculo-skeletal items evaluated in our sample.
DOI: 10.6084/m9.figshare.13633017
title: Additional file 1 of Musculo-skeletal phenotype of Costello syndrome and cardio-facio-cutaneous syndrome: insights on the functional assessment status

description: Additional file 1: Table S1. Musculo-skeletal items evaluated in our sample.
DOI: 10.6084/m9.figshare.13632975.v1
title: Additional file 7 of A mixed community of skin microbiome representatives influences cutaneous processes more than individual members

description: Additional file 6. Antimicrobial Peptide Gene Expression. This file contains differential gene expression data (Log2 fold change and the adjusted p-value) for genes that encode for antimicrobial proteins and peptides. Citations for the individual genes are also includes. (XLSX 250 kb)
DOI: 10.6084/m9.figshare.13632989.v1
title: Additional file 4 of MicroExonator enables systematic discovery and quantification of microexons across mouse embryonic development

description: Additional file 4: Table S4. Microexons detected in zebrafish. This table shows the output from MicroExonator when applied to the zebrafish RNA-seq samples.
DOI: 10.6084/m9.figshare.13633080
title: Additional file 1 of Mice carrying a schizophrenia-associated mutation of the Arhgap10 gene are vulnerable to the effects of methamphetamine treatment on cognitive function: association with morphological abnormalities in striatal neurons

description: Additional file 1 Table S1. Summary of the statistical analyses used in this study
DOI: 10.6084/m9.figshare.13633080.v1
title: Additional file 1 of Mice carrying a schizophrenia-associated mutation of the Arhgap10 gene are vulnerable to the effects of methamphetamine treatment on cognitive function: association with morphological abnormalities in striatal neurons

description: Additional file 1 Table S1. Summary of the statistical analyses used in this study
DOI: 10.6084/m9.figshare.13633115
title: Additional file 5 of Association of mitochondrial DNA haplogroups J and K with low response in exercise training among Finnish military conscripts

description: Additional file 5: Table S5. Description of the molecular identification of mtDNA haplogroups in Finnish military conscripts.
DOI: 10.6084/m9.figshare.13633115.v1
title: Additional file 5 of Association of mitochondrial DNA haplogroups J and K with low response in exercise training among Finnish military conscripts

description: Additional file 5: Table S5. Description of the molecular identification of mtDNA haplogroups in Finnish military conscripts.
DOI: 10.6084/m9.figshare.13632950
title: 20210123-WikipediaTownSummit-Data.xlsx

description: ウィキペディアタウンサミット2021Wikipedia20
DOI: 10.6084/m9.figshare.13633200
title: Additional file 3 of The effect of DNA methylation on bumblebee colony development

description: Additional file 3. Text files with data and code used for analyses. We provide datasets on colony developmental data (countings: ctres, temporal overview: events3c) and ovary development (ovarydev). Additional text files are available for the R code (R script) and WGBS analyses (supp_code).
DOI: 10.6084/m9.figshare.13633200.v1
title: Additional file 3 of The effect of DNA methylation on bumblebee colony development

description: Additional file 3. Text files with data and code used for analyses. We provide datasets on colony developmental data (countings: ctres, temporal overview: events3c) and ovary development (ovarydev). Additional text files are available for the R code (R script) and WGBS analyses (supp_code).
DOI: 10.6084/m9.figshare.13621169.v3
title: Speedtest Open Data - Four International cities - MEL, BKK, SHG, LAX

description: This dataset compares four cities broadband internet speeds:- Melbourne, AU- Bangkok, TH- Shanghai, CN- Los Angeles, US<br>*lines of data for each geojson file; a line equates to a 600m^2 location, inc total tests, devices used, and average upload and download speed- MEL 16181 lines- SHG 31745 lines- BKK 29296 lines<br>Geojsons of these 2* by 2* extracts for MEL, BKK, SHG now added, and LAX will be added shortly.<br>This dataset unpacks, geospatially, data summaries provided in Speedtest Global Index (linked below). See Jupyter Notebook (*.ipynb) to interrogate geo data. See link to install Jupyter.<br>** To DoWill add Google Map versions so everyone can see without installing Jupyter.<br>** Pythonmelb = au_tiles.cx[144:146 , -39:-37] #Lat/Lon extract<br>shg = tiles.cx[120:122 , 30:32] #Lat/Lon extract<br>bkk = tiles.cx[100:102 , 13:15] #Lat/Lon extract<br>- LAX yet to add<br>Histograms, and data visualisations will be provided.Data Sourced from - This is an extract of Speedtest Open data available at Amazon WS (link below - opendata.aws).<br>**VERSIONSv3 replaced MEL map with big key version. Prev key was very tiny in top right corner.v2 Uploaded MEL, SHG, BKK data and Jupyter Notebookv1 Metadata record<br>** LICENCEAWS data licence on Speedtest data is "CC BY-NC-SA 4.0", so use of this data must be:- non-commercial (NC)- reuse must be share-alike (SA)(add same licence).This restricts the standard CC-BY Figshare licence.<br>
DOI: 10.17608/k6.auckland.12774632.v1
title: Knebel 2020 (JGR: Oceans)

description: Data sets associated with Knebel (2020): Controls on Porites Lutea Calcifying Fluid pH at Seasonal to Diurnal Scales
DOI: 10.5439/1578285
title: kasacrcfrcorhsrhi.c0

description: Attenuation Corrected reflectivity add to Ka-Band Scanning ARM Cloud Radar (KASACR) CF-Radial RHI scan
DOI: 10.6084/m9.figshare.13207148.v8
title: More change in task repetition, less cost in task switching: Behavioral and ERP evidence

description: Reproducibility package containing data, code and final plots of Fig.2 & 4 of this editorial in the European Journal of Neuroscience<br>More change in task repetition, less cost in task switching: Behavioral and ERP evidence Bingxin Zhuo, Mengqi Zhu, Bihua Cao, Fuhong Li under review Fig.2 was made in Origin. Fig.4 was made in Matlab.
DOI: 10.5439/1645177
title: kasacrcfrcorhsrhi.c1

description: Attenuation Corrected reflectivity add to calibrated Ka-Band Scanning ARM Cloud Radar (KASACR) CF-Radial RHI scan
DOI: 10.34740/kaggle/dsv/1870406
title: COVID-19 Indonesia Dataset
DOI: 10.5281/zenodo.4457845
title: Table S1. The influence of extremely low frequency magnetic field (ELF-MF) on different aspects of the organism function

description: <strong>Table S1.</strong> <strong>The influence of extremely low frequency magnetic field (ELF-MF) on different aspects of the organism function</strong> (papers are listed according to year of publication). In order to prepare the table the bibliography research in PubMed was performed using the following keywords in varied combinations:: “electromagnetic field”, “stress”, “corticosterone“, “noradrenaline”, “HPA axis”, “oxidative stress”, “cellular damage”, “BDNF”, “HSP70”, “neurotransmitters”, “cytokines”, “plasticity”, “viability”, “recovery”; “behavior”. We also used Boolean operator “and” to receive the most relevant search results. All articles written in English were manually screened, and the appropriate were identified. The articles published from 2010 to 2020 were taken into consideration. The papers concerning the effects of extremely low frequency magnetic field on a wide spectrum of molecular, neuronal, hormonal and behavioural stress responses were considered and only information related to ELF-MF effects are included in the Table.
description: Funding: NCN grant No. 2017/25/B/NZ7/00638 and POW-ER.03.05.00-00-Z302/17-00
DOI: 10.5281/zenodo.4384526
title: Table S1. The influence of extremely low frequency magnetic field (ELF-MF) on different aspects of the organism function

description: <strong>Table S1.</strong> <strong>The influence of extremely low frequency magnetic field (ELF-MF) on different aspects of the organism function</strong> (papers are listed according to year of publication). In order to prepare the table the bibliography research in PubMed was performed using the following keywords in varied combinations:: “electromagnetic field”, “stress”, “corticosterone“, “noradrenaline”, “HPA axis”, “oxidative stress”, “cellular damage”, “BDNF”, “HSP70”, “neurotransmitters”, “cytokines”, “plasticity”, “viability”, “recovery”; “behavior”. We also used Boolean operator “and” to receive the most relevant search results. All articles written in English were manually screened, and the appropriate were identified. The articles published from 2010 to 2020 were taken into consideration. The papers concerning the effects of extremely low frequency magnetic field on a wide spectrum of molecular, neuronal, hormonal and behavioural stress responses were considered and only information related to ELF-MF effects are included in the Table.
description: Funding: NCN grant No. 2017/25/B/NZ7/00638 and POW-ER.03.05.00-00-Z302/17-00
DOI: 10.13139/ornlnccs/1761194
title: BEPS Propagation of priors Datasets

description: BEPS datasets used for loop fitting. Datasets consists of a 50x50 grid BFO (supplied by N. Valanoor), 50x50 grid of PTO (supplied by H. Funakubo), and a 128x128 grid synthetic dataset (generated by N. Creange). This data supplements the publication "Propagation of priors for more accurate and efficient spectroscopic functional fits".
DOI: 10.13139/ornlnccs/1761204
title: LaSrMnO3 Low Energy Electron Diffraction IV Data Repository

description: LEED IV data for LSMO surface reconstruction manuscript.
DOI: 10.17632/d6yy3gt7rw.1
title: Data for: Stated Willingness to Pay for Residential Renewable Electricity and Green Jobs in Aguascalientes, Mexico

description: Stata file. Dataset with 199 respondents about WTP for renewable electricity and green jobs in Aguascalientes
DOI: 10.5281/zenodo.4459003
title: earthquke data

description: Changning Earthquake Data