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221
datasets available to search
ShareScore release 0.9.0
Dataset results
221 results for “multi-scale”
Type II topoisomerases shape multi-scale 3D chromatin folding in regions of positive supercoils (GapRUN).
GEO Series GSE255730. Homo sapiens. 4 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Type II topoisomerases shape multi-scale 3D chromatin folding in regions of positive supercoils (HiC).
GEO Series GSE255731. Homo sapiens. 12 samples. Type: Other.
A multi-scale approach reveals that NFkB cRel enforces a B-cell decision to divide.
GEO Series GSE64156. Mus musculus. 13 samples. Type: Expression profiling by high throughput sequencing.
Type II topoisomerases shape multi-scale 3D chromatin folding in regions of positive supercoils (microC).
GEO Series GSE255736. Homo sapiens. 16 samples. Type: Other.
Identification of stress response and recovery mechanisms by multi-scale analyses of drought effect in the maize leaf growth zone.
GEO Series GSE55592. Zea mays. 36 samples. Type: Expression profiling by array.
Multi-scale epigenomic priming of inflammatory genes enables rapid recall in human memory T helper cells [RNA-seq]
GEO Series GSE210958. Homo sapiens. 12 samples. Type: Expression profiling by high throughput sequencing.
Multi-scale epigenomic priming of inflammatory genes enables rapid recall in human memory T helper cells [ChIP-seq]
GEO Series GSE211023. Homo sapiens. 11 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
FIG. 4 in Multi-scale Assessment of Rock Barrens Turtle Nesting Habitat: Effects of Moisture and Temperature on Hatch Success
FIG. 4. Daily rainfall (mm) during the 2018 (A) and 2019 (B) incubation periods and average 15-minute soil saturation (%) for sections of the nest cavities with 100% hatch success (red line; n ¼ 3, 2018; n ¼ 5, 2019) and 0% hatch success (black line; n ¼ 5, 2018; n ¼ 4, 2019).
SMMGCL: A novel multi-scale graph contrastive learning framework for integrating spatial multi-omics data
Open the record for dataset details and reuse information.
Figure 7 in Multi-scale patterns in the host specificity of plant-dwelling arthropods: the influence of host plant and temporal variation on species richness and assemblage composition of true bugs (Hemiptera)
Figure 7. The percentage of singleton and doubleton species from the sampling period spring 2001 that are common in other locations (ground fauna, introduced species, another habitat), or during another sampling period (season, previous spring). Unknown fauna cannot be allocated an origin because they are never abundant in the total dataset (>29,000 specimens).
Fatigue Damage Prognosis in FRP Composites by Combining Multi-Scale Degradation Fault Modes in an Uncertainty Bayesian Framework
In this work, a framework for the estimation of the fatigue damage propagation in CFRP composites is proposed. Macro-scale phenomena such as stiffness and strength degradation are predicted by connecting micro-scale and macro-scale damage models in a Bayesian filtering framework that also allows incorporating uncertainties in the prediction. The approach is demonstrated on data collected from a run-to-failure tension-tension fatigue experiment measuring the evolution of fatigue damage in CRFP cross-ply laminates. Results are presented for the prediction of expected end of life for a given panel with the associated uncertainty estimates.
Brera Multi-scale Wavelet ROSAT HRI Source Catalog
The Brera Multi-scale Wavelet ROSAT High Resolution Imager Source Catalog (BMW-HRI) is derived from all ROSAT HRI pointed observations with exposure time longer than 100 seconds available in the ROSAT public archives. The data were analyzed automatically using a wavelet detection algorithm suited to the detection and characterization of both point-like and extended sources. This algorithm is able to detect and disentangle sources in very crowded fields and/or in presence of extended or bright sources. Images have been also visually inspected after the analysis to ensure verification. The final catalog, derived from 4,303 observations, consists of 29,089 sources detected with a detection probability of greater or equal 4.2 sigma. For each source, the primary catalog entries provide name, position, count rate, flux and extension along with the relative errors. In addition, results of cross-correlations with existing catalogs at different wavelengths (FIRST, IRAS, 2MASS, and GSC2) are also reported. As an external check, the authors compared their catalog with the previously available ROSHRICAT catalog (both in its short and long versions) and were able to recover, for the short version, ~90% of the entries. The sky coverage of the entire HRI data set was computed by means of simulations. The complete BMW-HRI catalog provides a sky coverage of 732 square degrees down to a limiting flux of ~1x10<sup>-12</sup> erg/s/cm<sup>2</sup> and of 10 square degrees down to ~1x10<sup>-14</sup> erg/s/cm<sup>2</sup>. The authors were able to compute the cosmological log(N)-log(S) distribution down to a flux of about 1.2x10<sup>-14</sup> erg/s/cm<sup>2</sup>. This catalog was ingested by the HEASARC in March 2003, based upon the <a href="https://cdsarc.cds.unistra.fr/ftp/cats/IX/34">CDS Catalog IX/34</a> file catalog.dat.gz. This is a service provided by NASA HEASARC .
Brera Multi-scale Wavelet Chandra Source Catalog
This table contains the BMW-Chandra source catalog drawn from essentially all Chandra ACIS-I pointed observations with an exposure time in excess of 10 ks that were public as of March 2003 (136 observations). Using the wavelet detection algorithm developed by Lazzati et al. (1999ApJ...524..414) and Campana et al. (1999ApJ...524..423C), which can characterize both point-like and extended sources, the authors identified 21325 sources. Among them, 16758 are serendipitous, i.e. not associated with the targets of the pointings, and do not require a non-automated analysis. This makes this catalog the largest compilation of Chandra sources as of the date of publication of this catalog (August 2008). The 0.5 - 10 keV absorption corrected fluxes of these sources range from ~3 x 10<sup>-16</sup> to 9 x 10<sup>-12</sup> erg/cm<sup>2</sup>/s with a median of 7 x 10<sup>-15</sup> erg/cm<sup>2</sup>/s. The catalog consists of count rates and relative errors in three energy bands (total, 0.5 - 7 keV; soft, 0.5 - 2 keV; and hard, 2 - 7 keV), and source positions relative to the highest signal-to-noise detection among the three bands. The wavelet algorithm also provides an estimate of the extension of the source. The authors include information drawn from the headers of the original files, as well, and extracted source counts in four additional energy bands, SB1 (0.5 - 1 keV), SB2 (1 - 2 keV), HB1 (2 - 4 keV), and HB2 (4 - 7 keV). They computed the sky coverage for the full catalog and for a subset at high Galactic latitude (|b| > 20 degrees). The complete catalog provides a sky coverage in the soft band (0.5 - 2 keV, S/N = 3) of ~8 deg<sup>2</sup> at a limiting flux of 10<sup>-13</sup> erg/cm<sup>2</sup>/s, and ~2 deg<sup>2</sup> at a limiting flux of ~10<sup>-15</sup> erg/cm<sup>2</sup>/s. The total numbers of matches with the FIRST, IRASPSC, 2MASS, and GSC2 catalogs obtained after a closest-distance selection are 13, 87, 6700, and 4485, respectively. This table was created by the HEASARC in September 2008 based on the CDS table J/A+A/488/1221 file catalog.dat. The catalog version is BMC 1.0.1F. All sources in this version of the catalog were from observations in POINTING and TIMED ACIS read modes. This is a service provided by NASA HEASARC .
Identification of stress response by multi-scale analyses of drought effect in Arabidopsis thaliana under future climate CO2
GEO Series GSE222529. Arabidopsis thaliana. 12 samples. Type: Expression profiling by high throughput sequencing.
Depletion of Scleraxis-lineage cells during tendon healing transiently impairs multi-scale restoration of tendon structure during early healing
GEO Series GSE213033. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
Multi-scale lead-lag relationship between the stock and futures markets: New evidence from Malaysia based on 15-minute intraday data
<p>KCOM: FBM KLCI(15 Minutes)<br> KLINF1: KLOFFE FUTURE(15 Minutes)</p> <p>From 15/04/2009 to 12/01/2021</p>
MR2-Net: Retinal OCTA Image Stitching via Multi-Scale Representation Learning and Dynamic Location Guidance
<p>These datasets are released for academic research use only.</p>
Concerted epithelial and stromal changes during progression of Barrett’s Esophagus to invasive adenocarcinoma exposed by multi-scale, multi-omics analysis
GEO Series GSE292971. Homo sapiens. 107 samples. Type: Expression profiling by high throughput sequencing.
Concerted epithelial and stromal changes during progression of Barret’s Esophagus to invasive adenocarcinoma exposed by multi-scale, multi-omics analysis
GEO Series GSE251990. Homo sapiens. 22 samples. Type: Expression profiling by high throughput sequencing.
Thesis: Locate and understand the mortality risk of forest tree under climate change. A multi-scale approach combining statistical and mechanistic modeling
<p>Data and tables in chapters 2 and 3 of the thesis</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)
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.