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3,101 results for “Table”
Supplementary Tables- PhD Thesis
<p>Supplementary Tables for results chapters 2, 3 and 4</p>
Table S1 Study quality assessment using Joanna Briggs Institute critical assessment tools
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Tables of direct, indirect and networks estimates and Forest plots of pairwise comparisons for all Secondary Outcomes
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Tables of direct, indirect, and network estimates and Forest plots of pairwise comparisons for Subgroup Analyses of Primary Outcomes (</= 28 weeks and >28 weeks)
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Table 9
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Supplementary Tables [Genes] Manuscript ID: genes-1419926
<p>Supplementary data for a manuscript entitled "A non-shedding fruit <em>Elaeis oleifera</em> palm reveals perturbations to hormone signaling, ROS homeostasis, and hemicellulose metabolism" submitted to Genes</p>
Single cell rDNA 16S V4V5 and 18S V9 metabarcoding tables (dada2) from the Tara Oceans expedition (2009-2013)
<p>Single cell rDNA 16S V4V5 and 18S V9 metabarcoding tables (dada2) from the Tara Oceans expedition (2009-2013). The code to generate the ASV tables is here: https://gitlab.com/tara-and-friends-euk-metab/tara-single-cell-metab</p>
Table S1: Relative abundance of KEGG pathways obtained by PICRUSt
<p>Relative abundance of KEGG pathways obtained by PICRUSt</p>
Table A1: RNA-seq Data for shRNA PRLR vs shRNA NTC for 3 samples each in PEO-1.
<p><strong>Table A1: RNA-seq Data for shRNA PRLR vs shRNA NTC for 3 samples each in PEO-1.</strong></p> <p>Excel Workbooks for RNA seq analysis showing the differential expression results for shRNA PRLR vs shRNA NTC for 3 samples each in PEO-1.</p> <p>Samples F01_4 to F01_6 represent shRNA NTC PEO-1 and F01_7 to F01_9 represent shRNA PRLR PEO-1.</p> <p>Sheet 1: statistically significant up-regulated genes with log2fold change of >= 1 (sorted by fold change).</p> <p>Sheet 2: statistically significant down-regulated genes with log2fold change of <= -1 (sorted by fold change)</p> <p>Sheet 3: Statistically significant differentially expressed (DE) genes (p value =< 0.05 and p adj =< 0.05) including normalised counts for each sample (rounded values)</p> <p>Sheet 4: Differential expression analysis results (raw) including normalised counts for each sample.</p> <p>Sheet 5: Raw counts for the six samples (three replicates PEO-1 shRNA NTC and three replicates PEO-1 shRNA PRLR</p> <p>Sheet 6: Filtered normalised counts (all genes with row Sum less than one were removed)</p> <p>The data presented log2 fold change, lfcSE = standard error of the log2 Fold Change estimate, stat = Wald statistic and fold change are included</p>
Table A3: RNA-seq Data for siRNA PRLR vs siRNA NTC in MCF-7
<p><strong>Table A3: RNA-seq Data for siRNA PRLR vs siRNA NTC in MCF-7</strong></p> <p>A) Excel Workbooks for RNA seq analysis showing the differential expression results for siRNA PRLR vs siRNA NTC for 3 samples each in MCF-7.</p> <p>Samples G01_4 to G01_6 represent siRNA NTC MCF-7 and G01_7 to G01_9 represent siRNA PRLR in MCF-7.</p> <p>Sheet 1: statistically significant up-regulated genes with log2fold change of >= 1 (sorted by fold change).</p> <p>Sheet 2: statistically significant down-regulated genes with log2fold change of <= -1 (sorted by fold change)</p> <p>Sheet 3: Statistically significant differentially expressed (DE) genes (p value =< 0.05 and p adj =< 0.05) including normalised counts for each sample (rounded values)</p> <p>Sheet 4: Differential expression analysis results (raw) including normalised counts for each sample.</p> <p>Sheet 5: Raw counts for the six samples (three replicates MCF-7 siRNA NTC and three replicates MCF-7 siRNA PRLR.</p> <p>Sheet 6: Filtered normalised counts (all genes with row Sum less than one were removed)</p> <p>The data presented log2 fold change, lfcSE = standard error of the log2 Fold Change estimate, stat = Wald statistic and fold change are included.</p> <p>B) List of genes in the top up-regulated and down-regulated hallmark pathways which were affected by PRLR knockdown in MCF-7 cells.</p> <p>Sheet 1: list of all (raw) hallmark pathways affected by knocking down PRLR generated by set enrichment analysis (GSEA) in R using the Bioconductor package fgsea.</p> <p>Sheet 2: list of significantly affected pathways with (p value =< 0.05 and p adj =< 0.05)</p> <p>Sheet 3: list of genes in Oestrogen response early pathway</p> <p>Sheet 4: list of genes in Oestrogen response late pathway</p> <p>Sheet 5: list of genes in MYC targets V1 pathway</p> <p>The data presented NES= normalised enrichment score, NE= enrichment score, n More Extreme= number of times a random gene set had a more extreme enrichment score value, log2 fold change, lfcSE = standard error of the log2 Fold Change estimate, stat = Wald statistic , fold change, p value,p adj and read count are included.</p>
Table A2: RNA-seq Data for shRNA PRLR vs shRNA NTC for 2 samples each in PEO-1.
<p><strong>Table A2: RNA-seq Data for shRNA PRLR vs shRNA NTC for 2 samples each in PEO-1.</strong></p> <p>A) Excel Workbooks for RNA seq analysis showing the differential expression results for shRNA PRLR vs shRNA NTC for 2 samples each in PEO-1.</p> <p>Samples F01_5 and F01_6 represent shRNA NTC PEO-1 and F01_7 to F01_8 represent shRNA PRLR PEO-1.</p> <p> </p> <p>Sheet 1: statistically significant up-regulated genes with log2fold change of >= 1 (sorted by fold change).</p> <p>Sheet 2: statistically significant down-regulated genes with log2fold change of <= -1 (sorted by fold change)</p> <p>Sheet 3: Statistically significant differentially expressed (DE) genes (p value =< 0.05 and p adj =< 0.05) including normalised counts for each sample (rounded values)</p> <p>Sheet 4: Differential expression analysis results (raw) including normalised counts for each sample.</p> <p>Sheet 5: Raw counts for the six samples (three replicates PEO-1 shRNA NTC and three replicates PEO-1 shRNA PRLR</p> <p>Sheet 6: Filtered normalised counts (all genes with row Sum less than one were removed)</p> <p>The data presented log2 fold change, lfcSE = standard error of the log2 Fold Change estimate, stat = Wald statistic and fold change are included.</p> <p> </p> <p>B) List of genes in the top up-regulated and down-regulated hallmark pathways, which were affected by PRLR knockdown in PEO-1 cells.</p> <p>Sheet 1: list of all (raw) hallmark pathways affected by knocking down PRLR generated by set enrichment analysis (GSEA) in R using the Bioconductor package fgsea.</p> <p>Sheet 2: list of significantly affected pathways with (p value =< 0.05 and p adj =< 0.05)</p> <p>Sheet 3: list of gene in Myc targets V1 pathway</p> <p>Sheet 4: list of gene in Myc targets V2 pathway</p> <p>Sheet 5: list of gene in epithelial mesenchymal transition pathway</p> <p>Sheet 6: list of gene in glycolysis pathway</p> <p>Sheet 7: list of gene in oxidative phosphorylation pathway.</p> <p>The data presented NES= normalised enrichment score, NE= enrichment score, n More Extreme= number of times a random gene set had a more extreme enrichment score value, log2 fold change, lfcSE = standard error of the log2 Fold Change estimate, stat = Wald statistic , fold change, p value, and read count are included.</p>
Supplemental information Table S10, S11 and S 17 for 'The impact of differential temperatures (30°C versus 45°C) on the methanogenic community in Philippine rice field soil'
<p>Supplemental information Table S10, S11, and S17 </p> <p>for Xin Li's PhD thesis-'The impact of differential temperatures (30°C versus 45°C) on the methanogenic community in Philippine rice field soil'</p>
Table
<p>Table test</p>
Supplementary Tables PRS Reference Range
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ROTATION OF COMET NUCLEI: TABLE 1
This data set presents Table 1 of Samarasinha, et al. (2004): 'Information on spin states of specific comets', as published in 'Comets II' (Festou, Keller and Weaver, eds.).
MOLA PRECISION EXPERIMENT DATA RECORD ASCII TABLES
The Mars Global Surveyor spacecraft included a laser altimeter instrument. The primary objective of the Mars Orbiter Laser Altimeter (MOLA) is to determine globally the topography of Mars at a level suitable for addressing problems in geology and geophysics.
APOLLO 15 ALSEP/SWS SOLAR WIND 1-HR AVG TABLES V1.0
This data set contains tables of time ordered, hourly averaged plasma parameters, mainly of the solar wind, as observed on the Moon at the Apollo 15 ALSEP site by the Apollo 15 Solar Wind Spectrometer from 31 July 1971 through 30 June 1972.
APOLLO 12 ALSEP/SWS SOLAR WIND 28-SEC RESOLUTION TABLES V1.0
This data set contains daily tables of time ordered, 28-second-resolution plasma parameters, mainly of the solar wind, as observed on the Moon at the Apollo 12 ALSEP site by the Apollo 12 Solar Wind Spectrometer from 19 November 1969 through 25 March 1976.
APOLLO 15 ALSEP/SWS SOLAR WIND 28-SEC RESOLUTION TABLES V1.0
This data set contains daily tables of time ordered, 28-second-resolution plasma parameters, mainly of the solar wind, as observed on the Moon at the Apollo 15 ALSEP site by the Apollo 15 Solar Wind Spectrometer from 31 July 1971 through 30 June 1972.
MGS SAMPLER MARS ORBITER LASER ALTIMETER PEDR ASCII TABLES
The MGS Sampler contains MOLA PEDR altimetry profiles in both binary andASCII formats. These ASCII tables contain calibrated MOLA ranges, energies, and topography for 18 contingency passes, Fall 1997. The tables have 29 columns, delimited by spaces. The tables contain radii, topography, areoid heights, spacecraft location, and instrument data. The information in these files is virtually identical to the binary PEDRs. The binary tables contain additional engineering data.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.