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Dataset results
373 results for “stochastic”
Single-molecule RNA-FISH analysis reveals stochasticity in reactivation of latent HIV-1 regulated by Nuclear Orphan Receptors NR4A and cMYC
GEO Series GSE241207. Homo sapiens. 3 samples. Type: Expression profiling by high throughput sequencing.
Epigenome wide Association and Stochastic Epigenetic Mutation analysis on 23 twin pairs heterogeneously affected by Congenital Hypothyroidism (CH).
GEO Series GSE161041. Homo sapiens. 46 samples. Type: Methylation profiling by array.
The ultra-sensitive Nodewalk technique identifies stochastic from virtual, population-based enhancer hubs regulating MYC in 3D: Implications for the fitness of cancer cells [GRO-seq]
GEO Series GSE76043. Homo sapiens. 4 samples. Type: Expression profiling by high throughput sequencing.
Stochastic genome-nuclear lamina interactions: Modulating roles of Lamin A and BAF
GEO Series GSE55066. Homo sapiens. 4 samples. Type: Genome binding/occupancy profiling by genome tiling array.
Stochastic hydrodynamic solution data with multiple uncertainties
<p>Raw tabulated data generated by <a href="https://www.seamlesswave.com/">SEAMLESS-WAVE</a> stochastic models.</p>
Supplementary data : Heritable gene expression variability and stochasticity govern clonal heterogeneity in circadian period
<p>BAM files from exome sequencing of 7 U2OS clonal cells used in the publication titled: Heritable gene expression variability and stochasticity govern clonal heterogeneity in circadian period.</p> <p>Details of samples names are in 'sample details.txt'</p>
Research Data Supporting "Theory and Implementation of a Novel Stochastic Approach to Coupled Cluster"
<p>Research data supporting "Theory and Implementation of a Novel Stochastic Approach to Coupled Cluster". This dataset includes all outputs for diagrammatic Coupled Cluster Monte Carlo simulations on systems of noninteracting hydrogen square replicas, and the double dissociation of water. This dataset also includes all code used to generate, analyse and plot all diagCCMC results.</p>
Additional Data from ``Developments in Stochastic Coupled Cluster Theory: The initiator approximation and application to the Uniform Electron Gas''
<p>We describe further details of the Stochastic Coupled Cluster method and a diagnostic of such calculations, the shoulder height, akin to the plateau found in Full Configuration Interaction Quantum Monte Carlo. We describe an initiator modification to Stochastic Coupled Cluster Theory and show that initiator calculations can be extrapolated to the unbiased limit. We apply this method to the 3D 14-electron uniform electron gas and present complete basis set limit values of the CCSD and previously unattainable CCSDT correlation energies for up to $r_s=2$, showing a requirement to include triple excitations to accurately calculate energies at high densities.</p>
Stochastic dispersal shapes the spatial pattern of species richness in mountain landscapes
<p class="MsoNormal"><strong><span>Aim<a name="OLE_LINK3"></a>: </span></strong><span><span>Biogeographers have begun to address the problem of species distribution patterns in three-dimensional space. A key question is: What patterns of species richness would arise on the three-dimensional surface of a landscape under minimal biological assumptions? Recently, a theory called "Landscape Elevational Connectivity" (LEC) has been developed, which measures how topography and geomorphology drive biodiversity patterns. Here, we tested the predictive ability of LEC for spatial patterns of species richness for the first time.</span></span></p> <p class="MsoNormal"><span><strong><span>Location: </span></strong></span><span><span>The Tibetan Plateau.</span></span></p> <p class="MsoNormal"><span><strong><span>Methods:</span></strong></span><span><span> We </span><span>used the "stacked species distribution models" (S-SDMs) approach to</span></span><span><span> estimate the empirical spatial distribution pattern of bird species richness on the Tibetan Plateau based on online species occurrence data and expert maps, and we compared this estimated distribution with the predictions of LEC.</span></span></p> <p class="MsoNormal"><span><strong><span>Results: </span></strong></span><span><span>We found a high correlation between the LEC null model and observed bird species richness in the biodiversity hotspot on the southeast edge of the Tibetan Plateau (Spearman's correlation, <em>r</em><span>s</span> = 0.746, 95% CI: 0.744-0.748). On a wider scale, LEC was better correlated with species richness in regions higher net primary productivity than in regions with lower net primary productivity.</span></span></p> <p class="MsoNormal"><span><strong><span>Main conclusions:</span></strong></span><span><span> <a name="OLE_LINK31"></a>Our results suggest that the impact of stochastic processes on the spatial distribution pattern of species richness may have been routinely underestimated, especially in regions with rich resources and high species richness. We conclude that it would be fruitful to reconsider the contribution of deterministic factors to the distribution pattern of species richness, especially in mountain landscapes, by applying LEC as a null model.</span></span></p>
Data from: No early warning signals for stochastic transitions: insights from large deviation theory
[No abstract entered]
Stochastic Finite-Fault Simulated Ground Motion Dataset for Tabriz Region in Iran
<p>A dataset of simulated ground motions for Tabriz region in Iran using stocahstic finite-fault simulation approach based on dynamic corner frequency.<br>The simulated earthquake events are for Mw 7.7, 7.4, 7.1, and 6.8 with focus on investigating the uncertainty in fault rupture plane and hypocenter location.<br>The ground motion time series along with a comprehensive flatfile are uploaded here.</p>
Deep-Learned Broadband Encoding Stochastic Filters for Computational Spectroscopic Instruments
<p>Abstract</p> <p>Computational spectroscopic instruments with broadband encoding stochastic (BEST) filters allow the reconstruction of the spectrum at high precision with only a few filters. However, conventional design manners of BEST filters are often heuristic and may fail to fully explore the encoding potential of BEST filters. The parameter constrained spectral encoder and decoder (PCSED)—a neural network-based framework—is presented for the design of BEST filters in spectroscopic instruments. By incorporating the target spectral response definition and the optical design procedures comprehensively, PCSED links the mathematical optimum and practical limits confined by available fabrication techniques. Benefiting from this, a BEST-filter-based spectral camera presents a higher reconstruction accuracy with up to 30 times enhancement and better tolerance to fabrication errors. The generalizability of PCSED is validated in designing metasurface- and interference-thin-film-based BEST filters.</p> <p> </p> <p>Please refer to https://github.com/Hao-Laboratory/PCSED for the source code for data analysis and visualization.</p>
Data for "The Stochastic Ice-Sheet and Sea-Level System Model v1.0 (StISSM v1.0)" by Verjans et al.
<p>Results and scripts to reproduce figures of The Stochastic Ice-Sheet and Sea-Level System Model v1.0 (StISSM v1.0)</p> <p>Input files, preprocessing, run control and postprocessing scripts for all simulations are also provided.</p> <p>See readme.txt for details.</p> <p>Update 22 November 2022: use v2 of code files for updated version of StISSM</p> <p>by Verjans et al.</p>
Sequential therapy data from a deterministic and semi-stochastic PKPD model
<p>The dataset contains all data generated for the manuscript 'Sequential therapy in the lab and in the patient'. The models used to generate the data are described in the Methods section. The code is available at:https://zenodo.org/record/7376833, the repository further contains a README file that describes the dataset in detail. </p>
Deep Supervised and Convolutional Generative Stochastic Network for Protein Secondary Structure Prediction, 2014
<p>This contains the protein sequence and secondary structure dataset from <a href="https://proceedings.mlr.press/v32/zhou14.html"><strong>Deep Supervised and Convolutional Generative Stochastic Network for Protein Secondary Structure Prediction</strong></a><strong>, ICML, 2014</strong></p> <p>This dataset was originally hosted at http://www.princeton.edu/~jzthree/datasets/ICML2014/. Since the original URL is no longer available and the dataset is still used by many, I moved the dataset here.</p>
Testing Effectiveness of a Stochastic Noise Stimulator to Immediately Improve Balance and Gait
ClinicalTrials.gov study NCT06688578. IPD Sharing: YES. Countries: 1. Publications: 0.
Stochastic Resonance Stimulation in Brain Plasticity and Post Stroke Motor Recovery
ClinicalTrials.gov study NCT03839810. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Stochastic Modulated Vibrations on Autonomic Nervous System of Breast Cancer Patients During Radiotherapy
ClinicalTrials.gov study NCT04125953. IPD Sharing: NO. Countries: 1. Publications: 0.
Stochastic genome - nuclear lamina contacts are linked to histone H3K9 dimethylation (RNA-seq data)
GEO Series GSE40111. Homo sapiens. 12 samples. Type: Expression profiling by high throughput sequencing.
Single-cell replication profiling reveals stochastic regulation of the mammalian replication-timing program [SEQXE]
GEO Series GSE102074. Mus musculus. 188 samples. Type: Other.
ScienceDex guides
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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.