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9,152 results for “Networking”
Plots source data for the Communications Earth & Environment research article titled: Diurnal expansion and contraction of englacial fracture networks revealed by seismic shear wave splitting
<p>The source data for plotting figures presented in the main text of article titled: Diurnal expansion and contraction of englacial fracture networks revealed by seismic shear wave splitting.</p>
Data from: Ongoing habenular activity is driven by forebrain networks and modulated by olfactory stimuli
<p>The data was collected using volumetric two-photon calcium imaging of the forebrain and habenula of juvenile zebrafish expressing a transgenic calcium indicator. The data provided is organized according to the figures of our manuscript and contains the necessary codes and data to replicate the figures presented. In short, included repository contains 6 datasets of experiments. Data structure includes neuronal data as normalised to the baseline fluorescence for each neuron over time (DF/F), 2 or 3 dimensional coordinates of each cell and information about duration and samplings rate of experiments, and appropriate information about stimulation either microstimulation or odor stimulation (if any was performed within the experiment).</p>
Convolutional-neural-network-based reflection full-waveform inversion
<p>The data is used by the paper "Convolutional-neural-network-based reflection 1 full-waveform inversion"</p>
Figure 10. Haplotype parsimonious networks constructed from cytochrome c oxidase subunit I in A new genus of large hydrothermal vent-endemic gastropod (Neomphalina: Peltospiridae)
Figure 10. Haplotype parsimonious networks constructed from cytochrome c oxidase subunit I sequences of 30 specimens of: A, Gigantopelta chessoia sp. nov.; B, Gigantopelta aegis sp. nov. Open circles are represented haplotypes, number inside the circles and sizes of the circles correspond to number of individuals sharing the haplotype. Filled circles are hypothesized intermediate haplotypes that are not represented by sequences.
Monthly pCO2, gas transfer velocity and CO2 efflux rate in global streams and rivers (the GRADES river networks)
<p>The datasets contain monthly partial pressure of dissolved CO<sub>2</sub> (<em>p</em>CO<sub>2</sub>, µatm), gas transfer velocity (<em>k</em>, m d<sup>-1</sup>), and CO<sub>2</sub> efflux rate (g C m<sup>-2</sup> d<sup>-1</sup>) estimates for global streams and rivers in both comma separated values (csv) and GeoTIFF formats. These datasets served as the base for monthly CO<sub>2</sub> emission estimates for global streams and rivers and can be used to support regional terrestrial carbon balances. Original vector-version of products is based on the Global Reach–level A priori Discharge Estimates for SWOT or GRADES river networks, which have ~ 3 million individual reaches of global streams and rivers. The GeoTIFF version has a spatial resolution of approximately 0.0083º (1 km). The datasets also contain direct CO<sub>2</sub> measurements compiled from the literature (Supplementary Data 1).</p>
Subnetwork representation learning for discovering network biomarkers in predicting lymph node metastasis in early oral cancer
<p>Dataset for the specified study.</p>
Data for "A Comparison of Linear Solvers for Resolving Flow in Three-Dimensional Discrete Fracture Networks"
<p>This data is related to the manuscript "A Comparison of Linear Solvers for Resolving Flow in Three-Dimensional Discrete Fracture Networks". It contains meshes, boundary conditions, and medium properties for discrete fracture networks used to test fluid flow solvers.</p>
Stan code from: Branching networks can have opposing influences on genetic variation in riverine metapopulations
Aim: Fractal networks, represented by branching complexity in rivers, are ubiquitous in nature. In rivers, the number of either distal (e.g., in headwater streams) or confluent (e.g., in mainstems) locations can be increased along with their branching complexity. Distal- or confluent-spatial locations can result in fewer or greater corridor linkages that can alter genetic divergence at the metapopulation scale. These mechanisms underlying the resulting genetic structuring remain poorly understood at the metapopulation scale, particularly in terms of the roles of species-specific dispersal traits. The objective of this study is to mechanistically understand how branching complexity can simultaneously influence genetic divergence in opposite directions. Location: Northeastern Japan Methods: To evaluate the integrated influences of network complexity and species dispersal on genetic divergence among populations at the catchment scale, we modelled metapopulation genetic dynamics under a Bayesian inference framework by adapting empirical genetic data from four macroinvertebrate species. Simulations were then performed using empirical and virtual species-characteristics on virtual river networks. Results: Our simulation experiments showed that both greater landscape connectivity (resulting from shorter watercourse distance) and greater isolation of distal locations occurred in the more-branched river networks. These two spatial features have negative and positive influences on genetic divergence, with their relative importance varying among different species and dispersal characteristics. Specifically, genetic divergence at the metapopulation scale increased for species having higher downstream-biased dispersal but decreased for species having higher upstream-biased dispersal. Distal populations (e.g., in headwaters) have higher genetic independence when downstream-biased asymmetry is higher. Main conclusions: We found a strong association between species dispersal and evolutionary processes such as gene flow and genetic drift. This association mediates the pervasive influences of branching complexity on genetic-divergence in the metapopulation. It also highlights the importance of considering species dispersal-patterns when developing management strategies in the face of rapid environmental-change scenarios.
A network analysis on cloud gaming: Stadia, GeForce Now and PSNow
<p>The dataset presents sample traces in support of the paper "A Network Analysis on Cloud Gaming: Stadia, GeForce Now and PSNow". The traces refer to Google Stadia, Nvidia Geforce Now, and Sony PSNow. </p>
Coexpression networks of 31 GTEx and 256 SRA RNA-Seq datasets
<p>This data repository contains coexpression networks from publicly-available RNA-Seq datasets (obtained from the recount2 database) that were generated using the best workflows identified in the benchmarking study: <a href="https://doi.org/10.1101/2020.09.22.308577">Johnson KA, Krishnan A (2020) Robust normalization and transformation techniques for constructing gene coexpression networks from RNA-seq data. bioRxiv 10.1101/2020.09.22.308577</a>.</p> <p><strong>GTEx coexpression networks</strong><br> There are 62 coexpression networks built from 31 GTEx datasets (each dataset corresponding to one GTEx tissue) reconstructed using two different network-building workflows: i) CTF_CLR: Counts adjusted using TMM Factors followed by CLR transformation of the Pearson correlation coefficients; ii) CTF: Counts adjusted using TMM Factors (without any further transformation).</p> <p><strong>SRA coexpression networks</strong><br> There are 256 coexpression networks built from 256 SRA datasets. Each dataset corresponds to a set of samples generated as part of the same transcriptome experiment from the same tissue. These networks are reconstructed using the top-performing workflow: CTF, Counts adjusted using TMM Factors.</p> <p>Refer to the preprint for more details on the workflows and the steps used for obtaining the original datasets.</p>
Case studies of a multi-product and multiple-sources slurry pipeline network scheduling problem in the phosphate industry
<p>The data shared summarises two case studies of a multi-product and multiple-sources slurry pipeline network scheduling problem in the phosphate industry.</p>
Data from: Parallel cognitive processing streams in human prefrontal cortex: parsing areal-level brain network for response inhibition
<p>Multiple cognitive processes are recruited to achieve adaptive behavior. However, it is poorly understood how such cognitive processes are implemented in temporal cascades of human cerebral cortical areas as processing streams to achieve behavior. In the present study, we identify cortical processing streams for response inhibition and examine relationships among the processing streams. Functional magnetic resonance imaging (MRI) and time-resolved single-pulse transcranial magnetic stimulation (TMS) reveal three distinct critical timings of transient disruption in the functionally essential cortical areas that belong to two distinct cerebrocortical networks. Furthermore, single-pulse TMS following suppression of the ventral posterior inferior frontal cortex (vpIFC) with repetitive TMS reveals information flow from the vpIFC to the presupplementary motor area (preSMA) within the same network but not to the dorsal posterior inferior frontal cortex (dpIFC) across different networks. These causal behavioral effects suggest two parallel processing streams (vpIFC-preSMA versus dpIFC-intraparietal sulcus) that act concurrently during response inhibition.</p>
Data set for: Research trends of Academic Performance and Social Networking Sites
<p>Data set for: Research trends of Academic Performance and Social Networking Sites.</p>
Additional data "Client binding shifts the populations of dynamic Hsp90 conformations through an allosteric network"
<p>Additional data containing chemical shift perturbations and intensity changes of Hsp90 upon client binding, intermolecular PREs, and raw scattering data of Hsp90-client complexes.</p>
Deploying Near Optimal Delay Constrained Paths with Segment-Routing in Massive Scale Networks
<p>Dataset consisting of 5 large topologies used for the evaluation of Best2cop - multi-area version. <br> <br> The topologies themselves are written as a list of edges following the format : <br> <strong>source target delay cost area</strong> <br> "cost" being the IGP cost of the link, and "area", the IGP area to which the edge belongs.</p> <p>Each topology has a descriptive file showcasing some of the network's properties (density, diameter...) as well as an HTML file allowing to see the topology on an actual world map. Note that while we consider the road infrastructure, the links are represented in an abstract fashion for readability purposes.</p> <p> </p>
Neural Network Radiation Emulator (KMA/NIMS), January
<p>The dataset is a part of https://doi.org/10.5281/zenodo.5220712 (January)</p> <p> </p>
Neural Network Radiation Emulator (KMA/NIMS), October
<p>The dataset is a part of https://doi.org/10.5281/zenodo.5220712 (February)</p>
Neural Network Radiation Emulator (KMA/NIMS), September
<p>The dataset is a part of https://doi.org/10.5281/zenodo.5220712 (September)</p>
Neural Network Radiation Emulator (KMA/NIMS), August
<p>The dataset is a part of https://doi.org/10.5281/zenodo.5220712 (August)</p>
Neural Network Radiation Emulator (KMA/NIMS), July
<p>The dataset is a part of https://doi.org/10.5281/zenodo.5220712 (July)</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.