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3,688 results for “Computer”
Wyniki zawarte w Energy-Efficient OFDM Radio Resource Allocation Optimization With Computational Awareness: A Survey
<p>This resource contains the results included in Energy-Efficient OFDM Radio Resource Allocation Optimization With Computational Awareness: A Survey</p>
Wyniki dla Green Time-Critical Fog Communication and Computing
<p>This resource contains the results for Green Time-Critical Fog Communication and Computing</p>
Supporting data for "Scalable wavelength-multiplexing photonic reservoir computing"
<p>Supporting data for "Scalable wavelength-multiplexing photonic reservoir computing"</p>
Rysunki dla Communication and Computing Task Allocation for Energy-Efficient Fog Networks
<p>This resource contains the figures for Communication and Computing Task Allocation for Energy-Efficient Fog Networks</p>
Wyniki symulacji dla Communication and Computing Task Allocation for Energy-Efficient Fog Networks
<p>This resource contains simulation results for Communication and Computing Task Allocation for Energy-Efficient Fog Networks</p>
Inputs, output and animation files related to the article titled "A computational framework for crack propagation along contact interfaces and surfaces under load" submitted to CMAME.
<p>Here you can find input mesh files, parameter files, output files and animations for numerical examples considered in the paper entitled "A computational framework for crack propagation along contact interfaces and surfaces under load" submitted to Computer Methods in Applied Mechanics and Engineering.</p>
Restoration and replication: a case study on the value of computational reproducibility assessment
<p class="MsoNormal">Open science is vital to the interdisciplinary field of ecology due to its integrative nature and use of longitudinal datasets that build upon earlier data collections. To highlight the importance of open science in the rapidly growing discipline of restoration ecology, we conducted a 'computational reproducibility' assessment of a publication on a mining restoration program spanning several decades and over 250 km<sup>2</sup> in a global biodiversity hotspot. Open data and code provided alongside the original publication were assessed for consistency with the results and conclusions of the original publication, as were potential limitations in findings due to the methodology. The impacts of inconsistencies and limitations were qualitatively assessed against the key findings from the publication and data were re-analysed where impacts were potentially significant. Of the six inconsistencies and limitations identified, two had a significant impact on five of the 11 key findings of the original publication, and one new key finding was made. The impact of this is of high ecological significance as the findings related to key restoration parameters: species richness (similarity of species richness between forest and 25-year-old restoration), functional diversity (correlation of species richness and functional diversity), and the restoration trajectory (long term trends and restored areas' resilience to disturbance). These outcomes highlight the <span>importance of open data and the value of detailed </span>third-party data reviews, particularly in restoration ecology which relies on research findings to inform decision-making and policy and drive adaptive management.</p>
Micro computed tomography images of capillary actions in natural sand
<p>The present work investigates the effect of both surface roughness and particle morphology on the retention behaviour of granular materials. To study this, X-ray micro-computed tomography tests were performed on two types of spherical glass beads (i.e. smooth and rough) and two different sands (i.e. natural and roughened). Each sample was subjected to either drainage or soaking paths consisting in a multiphase ‘static’ flow of potassium iodine (KI) brine (wetting phase) and dry air (non-wetting phase). Tomograms were taken at different saturation states ranging from fully brine saturated to air dry conditions. </p>
Micro computed tomography images of capillary actions in rough glass beads
<p>The present work investigates the effect of both surface roughness and particle morphology on the retention behaviour of granular materials. To study this, X-ray micro-computed tomography tests were performed on two types of spherical glass beads (i.e. smooth and rough) and two different sands (i.e. natural and roughened). Each sample was subjected to either drainage or soaking paths consisting in a multiphase ‘static’ flow of potassium iodine (KI) brine (wetting phase) and dry air (non-wetting phase). Tomograms were taken at different saturation states ranging from fully brine saturated to air dry conditions. </p>
Micro computed tomography images of capillary actions in smooth glass beads
<p>The present work investigates the effect of both surface roughness and particle morphology on the retention behaviour of granular materials. To study this, X-ray micro-computed tomography tests were performed on two types of spherical glass beads (i.e. smooth and rough) and two different sands (i.e. natural and roughened). Each sample was subjected to either drainage or soaking paths consisting in a multiphase ‘static’ flow of potassium iodine (KI) brine (wetting phase) and dry air (non-wetting phase). Tomograms were taken at different saturation states ranging from fully brine saturated to air dry conditions. </p>
Micro computed tomography images of capillary actions in rough sand
<p>The present work investigates the effect of both surface roughness and particle morphology on the retention behaviour of granular materials. To study this, X-ray micro-computed tomography tests were performed on two types of spherical glass beads (i.e. smooth and rough) and two different sands (i.e. natural and roughened). Each sample was subjected to either drainage or soaking paths consisting in a multiphase ‘static’ flow of potassium iodine (KI) brine (wetting phase) and dry air (non-wetting phase). Tomograms were taken at different saturation states ranging from fully brine saturated to air dry conditions. </p>
Schema.org Characteristic Sets computed from the JSON-LD subset of Web Data Commons dataset (October 2021 release)
<p>This dataset reports the computation of Characteristic Sets from the JSON-LD subset of Web Data Commons dataset (October 2021 release). Each row consists in a combination of Schema.org properties and its cardinality. </p>
Fig. 4 in Structures of ganorbifates C-I, seven previously undescribed lanostanoids from the mushroom Ganoderma orbiforme, and insights of computed biosynthesis with DFT
Fig. 4. NOE correlations and comparison between experimental and calculated ECD spectra for compound 1.
Structure Dependence of CO2 Reduction Electrocatalyzed by Metal-Nanographene Complexes: A Computational Study
<p>Data files related to the manuscript titled 'Structure Dependence of CO2 Reduction Electrocatalyzed by Metal-Nanographene Complexes: A Computational Study,' in 'Journal of Physical Chemistry A' </p>
Computing free energies of fold-switching proteins using MELD x MD
<p>In this Zenodo repository, we provide the MELD script and data for a few representative systems in the DP-MELD.zip, GA_GB-MELD.zip, and RfaH-MELD.zip files. The contents of the repository are described below:</p> <ol> <li> <p>MELD Simulation:</p> <ul> <li>Filename: DP-MELD.zip, GA_GB-MELD.zip, and RfaH-MELD.zip</li> <li>Description: These archives contain the necessary files and scripts for the MELD simulation.</li> </ul> </li> <li> <p>Setup Script:</p> <ul> <li>Filename: setup.py</li> <li>Description: This script is used to set up the MELD simulation.</li> </ul> </li> <li> <p>Trajectory Analysis Script:</p> <ul> <li>Filename: Clustering.sh</li> <li>Description: This script analyzes the trajectories obtained from the MELD simulation.</li> </ul> </li> <li> <p>Protein Information:</p> <ul> <li>Location: TEMPLATES folder</li> <li>Files: <ul> <li>Protein topology file: .top</li> <li>Coordinate file: .crd</li> <li>PDB file: .PDB</li> </ul> </li> <li>Description: These files provide input information for a few representative proteins.</li> </ul> </li> <li> <p>Residue-Residue Contact Information:</p> <ul> <li>Files: <ul> <li>contact_model1.dat</li> <li>contact_model2.dat</li> </ul> </li> <li>Description: These files contain information about the contacts between residues.</li> </ul> </li> <li> <p>Replica Trajectory Files:</p> <ul> <li>Filename: trajectory.00.dcd</li> <li>Description: These files contain the trajectories obtained from the simulation for the corresponding bottom replica.</li> </ul> </li> <li>Clustering Output: <ul> <li>Folders: Cluster_6 or Cluster_3.5</li> <li>Description: These folders contain the results of the clustering analysis, including the computed population and the average conformers for each cluster.</li> </ul> </li> </ol> <p>Furthermore, we provide an additional archive called unfold.zip:</p> <ol> <li>Unfolded Ensemble: <ul> <li>Filename: unfold.zip</li> <li>Description: This archive contains the unfolded ensemble, which is used to determine the force required for rebalancing two group springs for the MELD run between two conformers (A and B) before executing the MELD simulation.</li> </ul> </li> </ol>
Effect of promoting computational thinking on 21st century skills: a systematic review of the literature
<p>Data extracted from primary studies of a systematic literature review investigating the effect of promoting computational thinking on 21st century skills.</p>
Fig. 2. A in Structure elucidation and absolute configuration of metabolites from the soil-derived fungus Dictyosporium digitatum using spectroscopic and computational methods
Fig. 2. A: Key HMBC and COSY correlations of 1. B: Key NOESY correlations of 1. C: Mosher's ester analysis of MTPA-1 (irregular ΔδS−R signs in bold). D: Key HMBC and COSY correlations for dictyosporin C (3). E: Key NOESY correlations of 3. F: Octant rules applied for 3. G: Key HMBC and COSY correlations of dictyosporin D (4). H: Key NOESY correlations of 4. I: Experimental ECD spectrum of 4 and calculated ECD spectra of (1S, 10S)-4 and (1R, 10R)-4.
Data, Code and Computational Environment for: Wild olive tree genetic diversity in Greece: a diverse resource in danger of erosion
<p><strong>Data</strong></p> <p>The csv file "2023-06-27_data.csv" contains genetic profiles for all olive trees analyzed in the publication: Wild olive tree genetic diversity in Greece: a diverse resource in danger of erosion". The genotypes are provided in the GenAlEx format.</p> <p> </p> <p><strong>Code</strong></p> <p>Code is provided in the compressed folder "Tourvas_et_al_Olive". It is structured as a R project and can easily be opened, after decompressing, from the Rstudio interface. If you prefer to review and/or reuse code you can access it from the "analysis" folder inside the "Tourvas_et_al_Olive" folder.</p> <p> </p> <p><strong>Computational Environment</strong></p> <p>A tarball for the Docker image "tourvas_et_al_olive" is also provided. This is the recommended way to reproduce the results of the publication: "Wild olive tree genetic diversity in Greece: a diverse resource in danger of erosion".</p> <p>It is assumed that you already have Docker installed on your system. If not, please visit <a href="https://docs.docker.com/get-started/">https://docs.docker.com/get-started/</a></p> <p>To use it:</p> <ul> <li>download the image file tourvas_et_al_olive.tar</li> <li>load it with docker with the command:</li> </ul> <pre><code class="language-bash">docker load --input tourvas_et_al_olive.tar</code></pre> <ul> <li>then launch the Docker container with the command:</li> </ul> <pre><code class="language-bash">docker run --name popgen --rm -dp 8787:8787 -e ROOT=TRUE -e DISABLE_AUTH=true -v "`pwd`":/home/rstudio/working nikostourvas/tourvas_et_al_olive</code></pre> <ul> <li>start your favorite web browser and go to: http://localhost:8787/</li> <li>from the bottomright pane of the Rstudio server click on the directory "Tourvas_et_al_Olive" and open the project by clicking on the "Tourvas_et_al_Olive.Rproj" file</li> <li>launch the scripts inside the "analysis" directory and run them to reproduce results</li> </ul>
Data of "Thermodynamics of Quantum Trajectories on a Quantum Computer"
<p>The uploaded files contain the data of the simulations presented in the figures of the publication "Thermodynamics of Quantum Trajectories on a Quantum Computer".</p>
Tuesday 5 May: Data Friction, Context and the 'Allure of Computation', Jessica Ogden, U Southhampton
<p>Tuesday 5 May: Data Friction, Context and the 'Allure of Computation', Jessica Ogden, U Southhampton</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.