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3,206 results for “property (T)”

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zenodo28/100

Fig. 2 in Trichilia (Meliaceae) plants: an important source of biomolecules with insecticidal properties

Fig. 2. Survival curves of Copitarsia decolora larvae fed on an artificial diet supplemented with extracts of Trichilia americana bark at 100, 500, 1,000, and 1,500 ppm: (a) hexane, (b) ethyl acetate.

opencc-by-4.0Sep 2018View details →
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Fig 1 in Trichilia (Meliaceae) plants: an important source of biomolecules with insecticidal properties

Fig 1. Extraction procedure. Each Trichilia spp. bark was extracted sequentially using organic solvents (hexane, ethyl acetate, acetone, methanol, and water) with increasing polarity.

opencc-by-4.0Sep 2018View details →
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Figure 5 in The inhibitory and anticancer properties of Annona squamosa L. seed extracts

Figure 5. (A) XRD spectra of A. squamosa presentation projecting extract image. (B) ESE of A. squamosa powder measured by energy dispersive X-ray spectroscopy (C) ESE of A. squamosa powder as seen using scanning electron microscopy.

opencc-by-4.0Dec 2022View details →
zenodo28/100

A hyperspectral and multi-angular synthetic dataset of optical properties for waters with varying trophic levels and optical complexity

<p>This synthetic dataset encompasses inherent and apparent optical properties (IOPs-AOPs) alongside associated bio-geochemical constituents. The bio-optical modeling framework benefited from insights and data accumulated over the past three decades, resulting on a comprehensive dataset of in situ IOPs, including diverse water typologies, and enabling the imposition of rigorous quality standards.</p> <p>Employing the Hydrolight scalar radiative transfer equation solver, we generated above-surface and submarine light fields across the specified spectral range at a &ldquo;true&rdquo; hyperspectral resolution (1 nm), covering the ultraviolet down to 350 nm, therefore facilitating algorithm development and assessment for present and forthcoming hyperspectral satellite missions. A condensed version of the dataset tailored to twelve Sentinel-3 OLCI bands (400 nm to 753 nm) was crafted. Derived AOPs encompass an array of above- and below-surface reflectances, diffuse attenuation coefficients, and average cosines,</p> <p>A unique feature of our dataset lies in the calculation of AOPs across the complete range of solar and viewing zenith and azimuthal angles as per the Hydrolight default quadrants. This comprehensive directional coverage caters to studies investigating signal directionality, previously lacking sufficient reference data. The dataset is thus the result of 6500000 Hydrolight simulations, distributed in 5000 files, each file encapsulating a specific IOP scenario, ensuring sufficient data volume for each water type represented. In addition, angularly resolved AOPs are incorporated.</p>

opencc-by-4.0Jun 2024View details →
zenodo28/100

S-Cypher: A Temporal Query Language on the Temporal Property Graph Model

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opencc-by-4.0Jul 2024View details →
zenodo28/100

Spearman correlations between soil properties and the relative abundance of dominant bacterial families for Elymus nutans (A), Kobresia humilis (B), Melissilus ruthenicus (C)

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opencc-by-4.0Jul 2024View details →
zenodo28/100

Vercelli soil physical properties 2005

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opencc-by-4.0Jul 2024View details →
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D-SET: Probing the evolution of fault properties during the seismic cycle with Deep Learning

<p>This dataset has been developed to analyze fault zone properties affected by the Norcia mainshock on October 30, 2016. It comprises waveform data from nine seismic stations surrounding the rupture site of the Vettore fault segment. Waveforms were selectively gathered from within a 3 km band perpendicular to the fault, exclusively including seismic events deeper than 2 km to minimize anthropogenic sources and surface-based seismic noise. The dataset is balanced to diminish the influence of Amatrice aftershocks, extending asymmetrically 15 km northeast and 4 km southwest of the Norcia epicenter, and only includes events with magnitudes greater than Mw 0.5 to ensure data quality.</p>

opencc-by-4.0Jul 2024View details →
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PSYCHOMETRIC PROPERTIES OF THE PROSOCIAL BEHAVIOR SCALE IN SAMPLE INDONESIAN ADOLESCENTS

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opencc-by-4.0Jul 2024View details →
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Supplementary data for the publication entitled "Second life for recycled concrete and other construction and demolition waste in mortars for masonry: full scope of material properties, performance, and environmental aspects"

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opencc-by-4.0Jul 2024View details →
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Figure 8 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 8. Mortality (means ± SE) of C. mycophagus females, nymphs and larvae, concerning α- and γ-Al2O3 NPs at tested concentrations and exposure time.

opencc-by-4.0Jul 2024View details →
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Direct measurement of torsional properties of single fibers

<p>This dataset is related to our paper &quot;Dabiao Liu, Kai Peng, and Yuming He*. Direct Measurement of Torsional Properties of Single Fibers. Measurement Science and Technology, 27 (2016), 115017.&quot;. In this work,&nbsp;a direct technique is established based on the principle of torsion balance. The technique applies twist to the specimen and balances the resulting torque against a torsion wire of known&nbsp;torsional&nbsp;rigidity. The&nbsp;torsional&nbsp;rigidity of the torsion wire is determined by a torsion pendulum. To measure the rotation of the torsion wire, a sensitive angle detector, comprising a thin cross-beam attached between the torsion wire and the fiber specimen and a laser displacement sensor, is developed. The presented technique permits the measurement of torque in single fibers as low as 10<sup>-9</sup>&nbsp;Nm with a reasonable resolution. Using this technique, torsion tests on micro-diameter copper wires, silver wires and carbon fibers were performed. The longitudinal shear modulus and other&nbsp;torsional&nbsp;properties of these samples, such as yielding shear&nbsp;strength, were obtained.</p>

opencc-by-4.0Oct 2016View details →
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Figure 2 from: Amosu A, Mahmood H, Ofoche P (2018) Estimating the Permeability of Carbonate Rocks from the Fractal Properties of Moldic Pores using the Kozeny-Carman Equation. Research Ideas and Outcomes 4: e24430. https://doi.org/10.3897/rio.4.e24430

Figure 2 Figure showing the application of the pigeonhole fractal model to the pore spaces in the thin-section photomicrograph.

opencc-by-4.0Apr 2018View details →
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A Uniform Retrieval Analysis of Ultracool Dwarfs. III. Properties of Y Dwarfs

<p>Posterior distributions for all model runs of <em>A Uniform Retrieval Analysis of Ultracool Dwarfs. III. Properties of Y-Dwarfs.</em></p> <p>To view, simply download the file and extract the tarball.</p> <p>Directory structure is as follows:</p> <p><strong>/free_retrieval/</strong>: All posteriors here result from the model assumptions stated in Section 4.2.1 in the manuscript and were used for the analysis in Sections 4.3 as well.</p> <p><strong>/constrained_retrieval/</strong>: All posteriors here result from the model assumptions stated in Section 4.2.2 of the manuscript.</p> <p><strong>/additional_retrievals/2212-6931_kirkpatrick2012/</strong>: Shows the results for both the &quot;free&quot; and &quot;constrained&quot; model assumptions using a distance estimate from Kirkpatrick et al. (2012) as mentioned in Section 4.2.3 of the manuscript.</p> <p><strong>/grid_model_fits/:</strong></p> <p>Contains directories for each grid model ran against our targets. Targets are specified by the first 4 numbers (RA) of their WISE/ALLWISE name. The subname specifies the free parameters of the grid model were and are as follows:</p> <p>_solar: Only Teff, log(g), radius, and log(Luminosity) are free parameters.</p> <p>_met: Same as solar, but now the metallicity of the system is a free parameter.</p> <p>_kzz: Same as solar, but now the eddy diffusion coefficient Kzz is also a free parameter.</p> <p>_CO: Same as solar, but now the elemental Carbon/Oxygen ratio is a free parameter.</p> <p>_full: All of the above are free parameters.</p> <p>&nbsp;</p>

opencc-by-4.0Mar 2019View details →
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Data of "Saturation properties of whistler wave instability in a plasma with two electron components"

<p>Data of 1D particle simulation results, containing energy and temperature data.</p>

opencc-by-4.0May 2019View details →
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Accurate Predictions of Volatile Plutonium Thermodynamic Properties: Dataset

<p>This dataset collects the input and output of the calculations discussed in the paper titled &quot;Accurate Predictions of Volatile Plutonium Thermodynamic Properties&quot;, by Sophie Kervazo, &nbsp;Florent R&eacute;al, Fran&ccedil;ois Virot, Andr&eacute; Severo Pereira Gomes and Val&eacute;rie Vallet.</p> <p>The results for each atom/molecule are collected in a zip file with the following directory tree:</p> <ol> <li>geom-freq-b3lyp: inputs/outputs for B3LYP Gaussian optimization and frequency calculations (both harmonic and anharmonic)</li> <li>SO-CASPT2 <ul> <li>VTZP: inputs/outputs for VTZP SO-CASPT2 calculations</li> <li>VQZP: inputs/outputs for VQZP SO-CASPT2 calculations</li> </ul> </li> <li>2dcm <ul> <li>inp: input files for 2dcm-CCSD and 2dcm-EOM-EE and 2dcm-EOM-IP calculations</li> <li>out: output files for 2dcm-CCSD and 2dcm-EOM-EE and 2dcm-EOM-IP calculations</li> <li>xyz: XYZ geometry files</li> </ul> </li> </ol>

opencc-by-4.0Aug 2019View details →
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Phenotype data Eucalyptus wood properties CNB Cirad-Ufla

<p>Phenotypic data obtained by NIR prediction on wood of the studied trees&nbsp;(5 trees&nbsp;for 10 clones of CENIBRA in&nbsp;3 sites in Brazil) : wood density, stiffness and&nbsp;microfibril angle of cell walls</p> <p>&nbsp;</p>

opencc-by-4.0Oct 2019View details →
zenodo28/100

Model outputs: Quantitative assessment of fire and vegetation properties in historical simulations with fire-enabled vegetation models from the Fire Model Intercomparison Project

<p>This dataset contains the fire model outputs of various variables used in the initial FireMIP benchmarking paper.</p>

openNov 2019View details →
zenodo28/100

The effect of Thyme, Oregano and Marjoram essential oils on the pH, microbiological quality and consumer properties in minced pork meat

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opencc-by-4.0Aug 2024View details →
zenodo28/100

HULIS and WSOC optical property data in cloud water collected at Taishan in 2021

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opencc-by-4.0Aug 2024View details →

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record