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2,135
datasets available to search
ShareScore release 0.9.0
Dataset results
2,135 results for “stabling”
Genome-wide analysis of replication timing in ESC and 2CLC [stable]
GEO Series GSE136226. Mus musculus. 12 samples. Type: Other.
iMEF SDHC-loss stable line eHi-C
GEO Series GSE129955. Mus musculus. 4 samples. Type: Other.
Consticted migration is associated with stable 3D genome structure differences in cancer cells (ATAC-Seq)
GEO Series GSE143674. Homo sapiens. 2 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Microarray analysis to identify differential molecular signatures in subjects with stable coronary artery disease on standard dosage regimens versus healthy controls
GEO Series GSE56885. Homo sapiens. 6 samples. Type: Expression profiling by array.
Stable expression of intracellular Notch suppresses v-Src-induced transformation in avian neural cells
GEO Series GSE22054. Gallus gallus. 6 samples. Type: Expression profiling by array.
Small RNA-Seq in ALKBH3 stable over expression and control HeLa cells
GEO Series GSE112870. Homo sapiens. 4 samples. Type: Non-coding RNA profiling by high throughput sequencing.
miRNA Expression data from WASF3 overexpressing stable T47D cells and control cells
GEO Series GSE31367. synthetic construct; Homo sapiens. 4 samples. Type: Non-coding RNA profiling by array.
iMEF SDHC-loss stable line ATAC-seq
GEO Series GSE129953. Mus musculus. 4 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Expression data from WASF3 knockdown stable MDA-MB-231 cells and control cells
GEO Series GSE26462. Homo sapiens. 6 samples. Type: Expression profiling by array.
Estimation of Time-Varying Autoregressive Symmetric Alpha Stable
In the last decade alpha-stable distributions have become a standard model for impulsive data. Especially the linear symmetric alpha-stable processes have found applications in various fields. When the process parameters are time- invariant, various techniques are available for estimation. However, time-invariance is an important restriction given that in many communications applications channels are time-varying. For such processes, we propose a relatively new technique, based on particle filters which obtained great success in tracking applications involving non-Gaussian signals and nonlinear systems. Since particle filtering is a sequential method, it enables us to track the time-varying autoregression coefficients of the alpha-stable processes. The method is tested both for abruptly and slowly changing autoregressive parameters of signals, where the driving noises are symmetric-alpha-stable processes and is observed to perform very well. Moreover, the method can easily be extended to skewed alpha-stable distributions.
Estimation of Time Varying Autoregressive Symmetric Alpha Stable
In this work, we present a novel method for modeling time-varying autoregressive impulsive signals driven by symmetric alpha stable distributions. The proposed method can be interpreted as a two-stage Gibbs sampler composed of a particle filter, which is capable of estimating the unknown time-varying autoregressive coefficients, and a hybrid Monte Carlo method for estimating the unknown but constant distribution parameters of a symmetric alpha stable process. This method is an alternative to a recently published technique in which both the autoregressive coefficients and the distribution parameters are estimated jointly within a single sequential Monte Carlo framework—the single particle filter technique. The proposed method achieves lower error variances in estimating the distribution parameters compared with the single sequential Monte Carlo technique, and thus, successfully models symmetric impulsive signals.
Mg/Ca and Stable isotopes (d18O and d13C) measured on G. bulloides and G. inflata of sediment core PS75/056-1
<p>Geochemical measurements of G. bulloides and G. inflata from core PS75/056-1</p>
Dataset for "Early differentiation and core formation on the ureilite parent body recorded in the stable isotopic signatures of Fe, Zn and Mg"
<p>no description</p>
Mg/Ca and Stable isotopes measured on G. inflata of sediment core PS75/059-2 for the last ~420 ka
<p>Mg/Ca and Stable isotopes measured on G. inflata of sediment core PS75/059-2 for the last ~420 ka</p>
Stable isotopes (δ18O) measured on U. peregrina of sediment core SO213-60-1
<p>Stable isotope values (d18O) of U. peregrina across the core SO213-60-1. </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.