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184
datasets available to search
ShareScore release 0.9.0
Dataset results
184 results for “Redistribution”
Pressure Redistributing Overlay With Targeted Cooling Technology (PRO-TECT) for Pressure Ulcer Prevention
ClinicalTrials.gov study NCT02634892. IPD Sharing: Not stated. Countries: 0. Publications: 0.
An oncogenic Ezh2 mutation induces tumors in mice through redistribution of global H3K27 trimethylation
GEO Series GSE79034. Mus musculus. 22 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Antidiabetic Rosiglitazone Remodels the Adipocyte Transcriptome by Redistributing Transcription to PPARg-Driven Enhancers [Affymetrix]
GEO Series GSE56688. Mus musculus. 27 samples. Type: Expression profiling by array.
Transient ER binding and p300 redistribution support a physiological squelching model for immediate ER-repressed genes
GEO Series GSE54855. Homo sapiens. 8 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Tuning Transcription Factor Availability through Acetylation-Mediated Genomic Redistribution
GEO Series GSE137522. Homo sapiens. 15 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
The TH1 cell lineage-determining transcription factor T-bet supresses TH2 gene expression by redistributing GATA3 away from TH2 genes [ChIP-seq]
GEO Series GSE171408. Mus musculus. 12 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
The TH1 cell lineage-determining transcription factor T-bet supresses TH2 gene expression by redistributing GATA3 away from TH2 genes [ChIP-seq series 2]
GEO Series GSE196508. Mus musculus. 9 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
m6A independent genome-wide METTL3 and METTL14 redistribution drives senescence-associated secretory phenotype [RNA-seq]
GEO Series GSE141991. Homo sapiens. 15 samples. Type: Expression profiling by high throughput sequencing.
T cell dependent bispecific antibodies (TDBs) promote T cell redistribution through organ-specific alteration of vascular endothelial cell (scRNAseq)
GEO Series GSE198868. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
m6A independent genome-wide METTL3 and METTL14 redistribution drives senescence-associated secretory phenotype [rna.M3]
GEO Series GSE159551. Homo sapiens. 10 samples. Type: Expression profiling by high throughput sequencing.
Spatiotemporal remodeling of chromatin topology architecture and H3K27me3 redistribution underlies vascular pathology in Hutchinson-Gilford progeria syndrome [CUT&Tag]
GEO Series GSE312029. Homo sapiens. 84 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
EZH2 binds transcripts for splicing regulation and redistribution of H3K27me3 and H3K36me3 in prostate cancer cells
GEO Series GSE95144. Homo sapiens. 34 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
T cell dependent bispecific antibodies (TDBs) promote T cell redistribution through organ-specific alteration of vascular endothelial cell (bulk RNAseq)
GEO Series GSE198867. Mus musculus. 12 samples. Type: Expression profiling by high throughput sequencing.
Adipocyte death drives fat redistribution from adipocytes to hepatocytes in steatotic liver disease via S100A8+ macrophages [scRNA-seq]
GEO Series GSE285615. Mus musculus. 2 samples. Type: Expression profiling by high throughput sequencing.
Spatiotemporal remodeling of chromatin topology architecture and H3K27me3 redistribution underlies vascular pathology in Hutchinson-Gilford progeria syndrome [Hi-C]
GEO Series GSE312031. Homo sapiens. 8 samples. Type: Other.
ILC2s navigate tissue redistribution during infection using stage-specific S1P receptors [RNA-seq]
GEO Series GSE268826. Mus musculus. 8 samples. Type: Expression profiling by high throughput sequencing.
Data associated with 'Processes at the margins of supraglacial debris cover: quantifying dirty ice ablation and debris redistribution'
<p>Data associated with Fyffe, C. L., Woodget, A. S., Kirkbride, M. P., Deline, P., Westoby, M. J. and Brock, B. W. (2020) Processes at the margins of supraglacial debris cover: quantifying dirty ice ablation and debris redistribution, Earth Surface Processes and Landforms, doi:10.1002/esp.4879.</p> <p>The file All_quadrat_data_Z contains the data associated within each of the quadrats which were positioned on the ice surface. Some of the values are extracted from the UAV derived data within the area of the quadrat, while other data is based on measurements from the ground truth images (taken at ground level). The main data types are given below. The data sub-types and units are given in the file header.</p> <ul> <li>Quadrat: Quadrat name</li> <li>Elevation: Elevation from the UAV DEM</li> <li>Aspect: Aspect from the UAV DEM</li> <li>Ablation: Ablation derived from the UAV products (see the paper for details)</li> <li>Albedo: Measured albedo</li> <li>Rock_stats_image: Statistics on the clasts sampled from the ground truth image of the quadrat</li> <li>Debris_cover: Percentage debris cover derived from both the ground truth image (point) and UAV derived orthophotos</li> <li>Rock_stats_meas: Statistics on the clasts measured in the field</li> </ul> <p>The file Feature_Tracking_Data_Z contains data on clast movement, derived by locating the same clasts in the July and August orthophotos. The August orthophoto location was corrected for ice flow. The main data types are given below. The data sub-types and units are given in the file header.</p> <ul> <li>Coordinates: Locations of the points on the clasts in the July and August orthophotos</li> <li>Elevation: Elevation from the UAV derived DEMs</li> <li>Slope_from_slope_map: Slope from the UAV derived DEMs</li> <li>Surface: Either dirty ice (partial debris cover, or debris (continuous cover)</li> <li>Clast_length: A-axis length of the tracked clast</li> <li>Track_lines_stats: Characteristics of the line joining the clast locations</li> <li>Clast_velocity: Velocity of the tracked clast. Note the velocities derived from the distance measured over the surface were used for the analysis in the paper.</li> </ul> <p>The file Profiles_Data_Z contains the elevation and ablation data extracted following four cross-profiles which crossed the study area. Tables are also included giving the calculated moraine slope gradients and their change over time. The main data types are:</p> <ul> <li>Distance: The distance along the cross-section</li> <li>Elevation: The elevation from either the July or August DEM</li> <li>Ablation: The ablation value from the map of spatially continuous ablation.</li> </ul> <p>The folder GIS_Data_Z contains a range of GIS data associated with the paper. Included in the Zip file is an ArcMap document 'GIS_Data_Dirty_Ice' which includes all the data, along with a Word document ('Metadata for GIS data') which describes each of the files included within the ArcMap document. Briefly, the included data covers ground truth data (georeferenced ground truth photos, sample points and their classification, clast sizes, quadrat georeferencing information), clast track data (over the study area and the small scale clast tracks), stake data (measured and modelled ablation, calculated horizontal velocities and combined slope and emergence values), mapped ablation, percentage debris cover (and the difference in percentage cover), orthophotos, elevation data (and the cross-sections used to extract this) and the boundaries between the dirty and debris-covered ice. All data sets are in the WGS 1984 UTM Zone 32N coordinate system.</p> <p>The folder Percent_Debris_Analysis_H_Z contains the data used to derive Figure 5 (ablation and percentage debris cover data) in Matlab format (.mat file). It also includes the code used to make the figure. More details on file names will not be given here as the code documents the analysis steps.</p> <p>If any further information is required about the data then please get in contact with Catriona Fyffe.</p> <p> </p>
Loss of SETD1B results in the redistribution of genomic H3K4me3 in the oocyte [RNA-seq]
GEO Series GSE167984. Mus musculus. 7 samples. Type: Expression profiling by high throughput sequencing.
Inhibition of the epigenetic regulator Ezh2 redistributes bivalent domains within transcriptional regulators associated with Wnt and Hedgehog pathways
GEO Series GSE196583. Mus musculus. 18 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Loss of SETD1B results in the redistribution of genomic H3K4me3 in the oocyte [ChIP-seq]
GEO Series GSE167985. Mus musculus. 10 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
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)
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.