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2,394 results for “Containers”
Fig. 1 in Toxicities and residual effects of toxic baits containing spinosad or malathion to control the adult Anastrepha fraterculus (Diptera: Tephritidae)
Fig. 1. The mortality of Anastrepha fraterculus adult afer 1, 3, 5 and 7 days of exposure to toxic baits. (Vertical bars indicate the standard error of the mean). Mortality was calculated by the formula of Schneider-Orelli (1947).
Fig. 4 in Palatability of baits containing (S)-methoprene to Wasmannia auropunctata (Hymenoptera: Formicidae)
Fig. 4. Effects of addition of 0.25% (S)-methoprene and increase in attractiveness of (S)-methoprene baits by the addition of an adjuvant as a masking agent. Treatments with different letters are significantly different (Pp <0.05).
Fig. 1 in Palatability of baits containing (S)-methoprene to Wasmannia auropunctata (Hymenoptera: Formicidae)
Fig. 1. Non-linear regression curve showing the relationship between ant recruitment and proportion of (S)-methoprene in the Hawaii Ant Lab's novel gel bait.
Fig. 2 in Palatability of baits containing (S)-methoprene to Wasmannia auropunctata (Hymenoptera: Formicidae)
Fig. 2. Mean recruitment of ants to baits containing different concentrations of (S)-methoprene. Treatments with different letters are significantly different (P <0.05).
A METAS VNA Tools project which contains S-parameter data of a CPW containing 3000 Josephson Junctions operated at 4 Kelvin, 10 Kelvin and 25 Kelvin with currents up to 200 mA
<p>A METAS VNA Tools project which contains S-parameter data of a CPW containing 3000 Josephson Junctions on a 1cmx1cm silicon chip made from intrinsic silicon. The chip is operated at 4 Kelvin, 10 Kelvin and 25 Kelvin with currents up to 200 mA for further heating injected. The temperature, current and DC resistance are noted in each filename.</p>
BRAIN Journal-Isomorphism Between Estes' Stimulus Fluctuation Model and a Physical- Chemical System-Figure 1. Two compartments containing solution separated by a membrane.
<p>In fact, this equation will be found first if one consults physical or chemical textbooks for<br> diffusion. Also one may be able to find already-existing diffusion simulators to see vivid images of<br> the process.</p>
BRAIN Journal-A Synoptic of Software Implementation for Shift Registers Based on 16th Degree Primitive Polynomials-Figure 10. Graphic containing the results for 1000 bits
<p>The distribution obtained depending on the length of the input string shows that time depends on the input length, but for lengths even closer together, the times are also close (this can be seen in Figure 8 for 20 bits inputs). Time does not change so much depending on which of the 14 different 16th degree primitive polynomials has been used. </p>
BRAIN Journal-A Synoptic of Software Implementation for Shift Registers Based on 16th Degree Primitive Polynomials-Figure 9. Graphic containing the results for 1000 bits
<p>The next two graphics show the obtained results from the execution of the main program for each of the 14 degrees, 16th primitive polynomials for three different situations depending on the lengths of the entrance data polynomial. The lengths of the input polynomials were 20. 30. 40, 50, 100 and 1000 bits. The maximum number of sequences is 216-1(Solomon, 1967). </p>
BRAIN Journal-A Synoptic of Software Implementation for Shift Registers Based on 16th Degree Primitive Polynomials-Figure 8. Graphic containing the results for 20 bits
<p>The next two graphics show the obtained results from the execution of the main program for each of the 14 degrees, 16th primitive polynomials for three different situations depending on the lengths of the entrance data polynomial. The lengths of the input polynomials were 20. 30. 40, 50, 100 and 1000 bits. The maximum number of sequences is 216-1(Solomon, 1967). </p>
Reproducibility package for: Badges for Geoscience Containers
<p>This repository contains demo data and software for research in using badges to improve discovery for scholarly publications in the geosciences. The web service "badger" provides an HTTP API for retrieving several types of badges based on a publications digital object identifier (DOI). The "extender" client integrates with the web browser and enhances existing platforms for discovery of publications with badges independent of the platforms code.</p> <p>Included in the archive are the source code of the required web services and client as well as ready to use Docker containers (including database and required web service with test data) to reproduce the results with minimal system requirements.</p> <p>Background on the project is provided in a peer-reviewed short paper from the AGILE conference 2019, <a href="https://doi.org/10.31223/osf.io/xtsqh">https://doi.org/10.31223/osf.io/xtsqh</a> , and in the blog post <a href="https://o2r.info/2017/09/12/reproducible-research-badges/">https://o2r.info/2017/09/12/reproducible-research-badges/</a>.</p> <p>For reproduction, follow the instructions in README.md and Makefile.and means to download the required software to enhance research websites with badges for reproducible research papers.</p>
Single-cell -omics datasets containing a trajectory
<p>Contains datasets to compare trajectory inference methods. See <a href="https://benchmark.dynverse.org">https://benchmark.dynverse.org</a></p> <p>These files can be opened in R using `readRDS` .</p> <p>Each file is a list containing at least:</p> <ul> <li>expression and counts: filtered log<sub>2</sub> normalised expression files and raw counts</li> <li>milestone_network, milestone_percentages and divergence_regions: the trajectory model</li> </ul>
Structured feature comparison between container orchestration frameworks
<p>Container orchestration frameworks provide support for management of complex distributed applications. Different frameworks have emerged only recently, and they are in constant evolution as new features are being introduced.</p> <p>This reality makes it difficult for practitioners and researchers to maintain a clear view on the technology space, and hinders selecting the most appropriate framework, assessing the maturity and the lock-in risks for each framework.</p> <p>We present an descriptive feature comparison study of the five most prominent orchestration solutions: Docker Swarm, Kubernetes, and Mesos, combined with Marathon or Aurora, and DC/OS. This study aims at (i) identifying the common and unique features of all frameworks, (ii) comparing these frameworks qualitatively ánd quantitatively with respect to: (ii.a) genericity in terms of supported features and (ii.b) vendor lock-in, (iii) investigating the maturity and stability of the frameworks as well as the pioneering nature of each framework by studying the historical evolution of the frameworks on GitHub</p> <p>The study methodology involves feature variability and commonality analysis, mapping features to common use cases and development history on GitHub, and card sorting for defining a taxonomy of features which is divided into 9 functional aspects and 27 sub-aspects.</p> <p>The result is a comprehensive feature-based overview of the current state of container orchestration frameworks. The published data set contains the data used for answering all research questions (i), (ii) and (iii). This data has been processed both qualitatively as quantitatively. The scientific approach and reproducible methodology allows for continued assessment of container orchestration frameworks.</p> <p>The document format is Microsoft Office Word and is associated with an extended Office template that contains macro's for processing these links automatically (checkLinks creates a simple bibliography, openLinks opens all references in a selected range, deleteLinks delete Links). To activate these Macro's, save the file Normal.dotm in your local user directory that by default contains all Microsoft templates for your user account. For example in Windows, this directory is located in the c:\users\<user name>\AppData\Roaming\Microsoft\Templates</p> <p> </p>
Critical droplet properties for particles containing 6 pollenkitts evaluated with 4 Köhler models for the study "Cloud condensation nuclei activity of six pollenkitts and the influence of their surface activity" by Prisle et al. (2019)
<p>Critical droplet supersaturation and surface tension, calculated with 3 thermodynamic Köhler models presented in Prisle et al., <em>Surfactants in cloud droplet activation: mixed organic-inorganic particles</em>, Atmospheric Chemistry and Physics, 10, 5663-5683, doi:10.5194/acp-10-5663-2010, and with the model presented in Prisle et al., <em>A simple representation of surface active organic aerosol in cloud droplet formation</em>, Atmospheric Chemistry and Physics, 11, 4073-4083, doi: 10.5194/acp-11-4073-2011, for particles of varying size comprising 6 pollenkitts and mixtures with ammonium sulfate.</p>
Dispersoid Composition in Zirconium Containing Al-Zn-Mg-Cu (AA7010) Aluminium Alloy - Supporting Data
<p>Data related to measured dispersoid compositions and calculated dispersoid volume fractions:</p> <p>Dispersoid Composition in Zirconium Containing Al-Zn-Mg-Cu (AA7010) Aluminium Alloy<br> A.M. Cassell, J. D. Robson, C. P. Race, A. Eggeman, T. Hashimoto, M. Besel.</p> <p>Submitted to Acta Materialia.</p> <p>Datafile of compositions to reproduce Fig.8 in paper (.mat Matlab format)</p> <p>Datafile of predicted dispersoid volume fractions on which calculations were performed to produce Fig. 10 in paper (comment in datafile provides further details)</p>
VCF File containing genotype calls for 136 Populus alba x Populus tremula hybrids obtained through both RAD-seq and GBS
<p>VCF file used to compare genotype calls obtained through RAD-seq and GBS for 126 common garden seedlings of Populus tremula and Populus alba hybrids. See Bresadola et al. (2019) for more details.</p>
CESM FKESSLER input data for running CESM in docker container
This dataset contains input data for running CESM 2.1.1 with FKESSLER compset and resolution T31_g37. <pre>create_newcase --case /home/cesm/cases/fkessler --compset FKESSLER \ --res T31_g37 --compset FKESSLER --machine espresso --run-unsupported </pre>
CESM F1850 input data for running CESM in docker container
<p>This dataset contains input data for running CESM 2.1.1 with F1850 compset and resolution f09_g17.</p> <p> </p> <pre>create_newcase --case /home/cesm/cases/B1850 --compset B1850 \ --res f09_g17 --machine espresso --run-unsupported && \ cd /home/cesm/cases/B1850 </pre> <p>The case uses <a href="https://bioconda.github.io/recipes/cesm/README.html">cesm from bioconda</a>.</p>
CESM input data for running CESM historic with CAM6 and CLM5 (no ocean) in docker container
<p>CESM docker container for HIST_CAM60_CLM50%BGC_CICE%PRES_DOCN%DOM_MOSART_CISM2%NOEVOLVE_SWAV compset and resolution f19_g17 using <a href="https://bioconda.github.io/recipes/cesm/README.html">bioconda cesm docker</a> as a base image.</p>
APPUiO PaaS container cloud tracefile
<p>Anonymized data set from APPUiO Public Container Cloud. For more info, please refer to README.md</p>
data for "Mismeasurement of the core-shell structure of black carbon-containing ambient aerosols by SP2 measurements"
<p>The data for "Mismeasurement of the core-shell structure of black carbon-containing ambient aerosols by SP2 measurements"</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.