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3,206 results for “property (T)”
Figure 1 in Phenolic compound and fatty acid properties of some microalgae species isolated from Erbil City
Figure 1. Morphology of Algal genera isolated from Erbil City (a-Spirogyra, b-Spirulina, C-Chlorella d- Chara).
The data on the optical properties of kombucha and kombucha proteinoids, as well as chaos calculations are provided for the paper titled "Kombucha Mats as Responsive Materials."
<p>The data on the optical properties of kombucha and kombucha proteinoids, as well as chaos calculations are provided for the paper titled "Kombucha Mats as Responsive Materials."</p>
Host Data from: [O II] as an Effective Indicator of the Dependence Between the Standardised Luminosities of Type Ia Supernovae and the Properties of their Host Galaxies
<p>Spectral properties of the Foundation Host Galaxies presented in the paper: <span>[O</span> II<span>] as an Effective Indicator of the Dependence Between the </span><span>Standardised Luminosities of Type Ia Supernovae and the Properties of </span><span>their Host Galaxies.</span></p> <p><span>Spectra were taken using the WiFeS instrument on the ANU 2.3m Telescope.</span></p>
Figure 9 in Morphological, optical and thermal properties of α- and γ-aluminum nanoparticles: Assessment of their biological activities against storage mites and mycotoxin producing fungi
Figure 9. Means number of deposited eggs by females of tested mites after 4 days post-exposure to α- and γ-Al2O3 NPs at tested concentrations. Different letters denote to significant differences in means at tested concentrations (Duncan test, P ≤ 0.05).
Figure 12 in Morphological, optical and thermal properties of α- and γ-aluminum nanoparticles: Assessment of their biological activities against storage mites and mycotoxin producing fungi
Figure 12. SEM visualization of α- and γ-Al2O3 NPs aggregation on ventral side of C. mycophagus mite. A = treated female by α-Al2O3 NPs, B = treated female by γ-Al2O3 NPs, C = untreated female.
Figure 7 in Morphological, optical and thermal properties of α- and γ-aluminum nanoparticles: Assessment of their biological activities against storage mites and mycotoxin producing fungi
Figure 7. Females, nymphal and larval mortality (means ± SE) of C. mycophagus mites, subjected to synthesized α- and γ- Al2O3 NPs at different concentrations and exposure time – A. α-Al2O3 NPs; B. γ-Al2O3 NPs. Different letters within the same exposure time are significantly different (Duncan test, P ≤ 0.05).
Figure 5 in Morphological, optical and thermal properties of α- and γ-aluminum nanoparticles: Assessment of their biological activities against storage mites and mycotoxin producing fungi
Figure 5. Females, nymphal and larval mortality (means ± SE) of M. fungivorus mites, subjected to synthesized α- and γ-Al2O3 NPs at different concentrations and exposure time – A. α-Al2O3 NPs; B. γ-Al2O3 NPs. Different letters within the same exposure time are significantly different (Duncan test, P ≤ 0.05).
Figure 14 in Morphological, optical and thermal properties of α- and γ-aluminum nanoparticles: Assessment of their biological activities against storage mites and mycotoxin producing fungi
Figure 14. Mean growth Inhibition (A) and corresponding percentage (B), of F. oxysporum in response to different concentrations of α and γ-Al2O3 NPs after 5 days of growth at 30 °C and 180 rpm in PDB growth medium (Where R2: the relation coefficient and y: the predicted fungal inhibition value at "X" nanoparticles concentration).
Figure 6 in Morphological, optical and thermal properties of α- and γ-aluminum nanoparticles: Assessment of their biological activities against storage mites and mycotoxin producing fungi
Figure 6. Mortality (means ± SE) of M. fungivorus females, nymphs and larvae, concerning α- and γ-Al2O3 NPs at tested concentrations and exposure time.
Figure 10 in Morphological, optical and thermal properties of α- and γ-aluminum nanoparticles: Assessment of their biological activities against storage mites and mycotoxin producing fungi
Figure 10. Females' mortality (means ± SE) of (A) M. fungivorus and (B) C. mycophagus mites subjected to synthesized α and γ-Al2O3 NPs at different concentrations and exposure time. different letters within the same concentrations are significantly different, Duncan test (P ≤ 0.05).
Figure 13 in Morphological, optical and thermal properties of α- and γ-aluminum nanoparticles: Assessment of their biological activities against storage mites and mycotoxin producing fungi
Figure 13. Mean growth Inhibition (A) and corresponding percentage (B) of Aspergillus flavus in response to different concentrations of α- and γ-AL2O3 NPs after five days of growth at 30 ℃ and 180 rpm in PDB growth medium. (Where R2: the relation coefficient and y: the predicted fungal inhibition value at "X" nanoparticles concentration).
Data and code for behavioral analysis of: Structural and Molecular Properties of Insect Type II Motor Axon Terminals.
<p>Data and code for behavioral analysis of: Structural and Molecular Properties of Insect Type II Motor Axon Terminals.</p> <p>v1.2: typos corrected and all files available in a single .zip file for download</p>
Database of physical and chemical properties and thresholds relevant to shale gas
<p>Results of the data collection effort on the chemical, physical and toxicity properties as well as permitted concentration levels in drinking water of chemicals that are frequently used in the fracking process.</p>
Common material properties
<p>Common material properties and scatter plot for comparison.</p>
Experimental CCN properties of 6 pollenkitts and two mixtures with ammonium sulfate reported in the study "Cloud condensation nuclei activity of six pollenkitts and the influence of their surface activity" by Prisle et al. (2019)
<p>Critical dry particle size Dp<sub>50</sub> measured for supersaturations 0.1–1.4% with a DMT CCN Counter (CCN-100). Size and composition resolved, and size-averaged hygroscopicity values calculated using the method presented by Rose et al. (2010), Cloud condensation nuclei in polluted air and biomass burning smoke near the mega-city Guangzhou, China - Part 1: Size-resolved measurements and implications for the modeling of aerosol particle hygroscopicity and CCN activity, <em>Atmospheric Chemistry and Physics</em>, <em>10</em>, 3365–3383.</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>
Snow properties measurements (in situ & retrived from satellite) at Dome C, East Antarctica Plateau
<p>The dataset contains the data inputs for the electromagnetic model:</p> <ul> <li>the snow density profile down to 20 m depth (measured in 2010)</li> <li>the snow SSA profile down to 20 m depth (measured in 2010)</li> <li>the snow temperature profile down to 20 m depth (measured from 1 December 2006 to 4 October 2011)</li> </ul> <p>The dataset contains also the data retrieved from satellite:</p> <ul> <li>the retrieved surface snow density from AMSR-E satellite (obtained from 18 June 2002 to 4 October 2011)</li> </ul> <p>The dataset contains finally the data measured in situ to compare with the data retrieved from satellite:</p> <ul> <li>the surface snow density from CALVA program (measured from 3 February 2010 to 4 October 2011)</li> <li>the surface snow density from PNRA program measured in snow pits (measured from 18 December 2007 to 4 October 2011)</li> <li>the surface snow density from PNRA program measured next to stakes (measured from 9 May 2008 to 4 October 2011)</li> </ul>
Ionic liquid Properties
<p>The set contains experimental data for 12 different properties: melting point, glass transition temperature, thermal decomposition temperature, viscosity, density, heat capacity, CO2 capacity, electrical and thermal conductivity, cytotoxicity towards the leukemia rat cell line IPC-81, surface tension and refractive index. The accompanying PDF file contains the literature references from which the data has been obtained. The structures for all the cations and anions are provided in the SMILES format.</p>
Calculation of RF sheath properties from surface wave-fields: a post-processing method
<p>The accompanying files contain digital data for figures in the article "Calculation of RF sheath properties from surface wave-fields: a post-processing method" by J.R. Myra and H. Kohno, submitted to the journal Plasma Physics and Controlled Fusion.</p> <p><br> Abstract:</p> <p>In ion cyclotron range of frequency (ICRF) experiments in fusion research devices, radio frequency (RF) sheaths form where plasma, strong RF wave fields and material surfaces coexist. These RF sheaths affect plasma material interactions such as sputtering and localized power deposition, as well as the global RF wave fields themselves. RF sheaths may be modeled by employing a sheath boundary condition (BC) in place of the more customary conducting wall BC; however, there are still many ICRF computer codes that do not implement the sheath BC. In this paper we present a method for post-processing results obtained with the conducting wall BC. The post-processing method produces results that are equivalent to those that would have been obtained with the RF sheath BC, under certain assumptions. The post-processing method is also useful for verification of sheath BC implementations and as a guide to interpretation and understanding of the role of RF sheaths and their interactions with the waves that drive them.</p> <p> </p>
Data set of Ultrathin Eu- and Er-Doped Y2O3 Films with Optimized Optical Properties for Quantum Technologies
<p>Data corresponding to the figures of the publication " Ultrathin Eu- and Er-Doped Y2O3 Films with Optimized Optical<br> Properties for Quantum Technologies " by M. Scarafagio et al. J. Phys. Chem. C 2019, 123, 13354-13364<br> (<a href="https://doi.org/10.1021/acs.jpcc.9b02597">https://doi.org/10.1021/acs.jpcc.9b02597</a>). A text file describes data in each compressed folder, please refer to the caption in the publication for more details. </p>
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.