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29
datasets available to search
ShareScore release 0.9.0
Dataset results
29 results for “NTC”
Sentinel-6A MF Jason-CS L1B P4 Altimeter Low Resolution (LR) NTC Geolocated Waveforms F08
Provides reprocessed L1B low resolution (LR) non-time critical (NTC; 60-day latency) altimetry data from the Poseidon-4 SAR altimeter on the Sentinel-6A Michael Freilich spacecraft which include the geolocated, fully-calibrated pulse-limited LR power echoes. The S6A NTC product is analogous to the Jason-3 GDR product.
Sentinel-6A MF Jason-CS L2 P4 Altimeter Low Resolution (LR) NTC Ocean Surface Topography (Unvalidated) F08
Provides reprocessed L2 low resolution (LR) non-time critical (NTC; 60-day latency) altimetry from the Poseidon-4 SAR altimeter on the Sentinel-6A Michael Freilich spacecraft. It contains Sea Surface Height (SSH), Sea Surface Height Anomalies (SSHA) and Significant Wave Height (SWH), along with 1 Hz and 20 Hz Ku-band measurements processed from L1B altimetry including the range, orbital altitude, time, and water vapour. It also includes altimetry corrections, significant wave height and wind-speed from the AMR-C. This standard product release provides the geophysical parameters at both 1 and 20 Hz. The S6A NTC product is analogous to the Jason-3 GDR product.
Sentinel-6A MF Jason-CS L2 P4 Altimeter Low Resolution (LR) NTC Ocean Surface Topography F08
Provides low resolution (LR) non-time critical (NTC; 60-day latency) measurements of sea surface height anomaly (SSHA), Significant Wave Height (SWH), and Wind Speed, along with 1 Hz and 20 Hz measurements from the radar altimeter, orbit altitude, environmental range corrections, instrument corrections, and geophysical models. The NTC product is analogous to the Jason-3 GDR product.
Sentinel-6A MF Jason-CS L2P P4 Altimeter High Resolution (HR) NTC Ocean Surface Topography F08
Provides L2P high resolution (HR) non-time critical (NTC; 60-day latency) altimetry from the Poseidon-4 SAR altimeter on the Sentinel-6A Michael Freilich spacecraft, and contains L2-equivalent geophysical sea-state data at a slightly different latency than the other L2 NRT products. The sea-state data were derived from L1B altimetry, and include range, orbital altitude, time, and water vapour. Environmental and geophysical corrections, significant wave height, and wind-speed information are supplied by the AMR-C. The S6A NTC product is analogous to the Jason-3 GDR product.
RNA-seq with knockdown ZBTB7A and NTC control
GEO Series GSE123090. Homo sapiens. 4 samples. Type: Expression profiling by high throughput sequencing.
Mapping of genome-wide histone modifications in SGF29 knockout vs NTC U937 AML cells. Mapping of binding of SGF29 and Tudor-domain mutant SGF29_D196R by FLAG ChIP [ChIP-seq SGF29]
GEO Series GSE217777. Homo sapiens. 18 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
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>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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)
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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.