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3,206 results for “property (T)”
Thermal properties. DSC analysis of poly(xylitol sebacate-co-butylene sebacate) PXBS
<p>In this work, a bio-based copolyester with good mechanical properties was synthesized and<br> characterized in terms of structure, main properties and biodegradability Determining the chemical<br> structure of such materials is important to understand their behavior and properties. Performing<br> an extraction of insoluble cross-linked polymer using di erent solvents allowed us to analyze how<br> the polymer behaves when subjected to di erent chemical environments, and to obtain soluble<br> samples suitable for more in-depth analysis. Chemical structure of poly (xylitol sebacate-co-butylene<br> sebacate) was determined by a 1H NMR and FTIR analysis of both prepolymer gel sample and<br> samples obtained by extraction of cross-linked polymer using di erent solvents. Block structure of<br> the copolymer was confirmed by both NMR and DSC. Gel fraction, swelling value, water contact<br> angle, and mechanical properties were also analyzed. Biodegradability of this material was confirmed<br> by performing enzymatic and hydrolytic degradation. Synthesizing sugar-alcohol based copolyester<br> using three monomers leads to obtaining a material with interesting chemical structure and desirable<br> mechanical properties comparable to conventional elastomers.</p>
Data for: Properties of wing scales on butterflies with different distribution patterns
<p><span>Butterflies play a crucial role in understanding the spread of life due to their complex thermal adaptations. </span><span>The cooling capacity provided by wing scales</span><span> is a dominant factor associated with the ambient temperature of their habitats. </span><span>However, it remains unclear how the wing scale structure of butterflies varies to regulate cooling capacity and participate in shaping distribution patterns.</span></p> <p><span>Based on data acquired from quantitative measurements, rank sum and ANOVA tests were used to test whether the structure and cooling capacity of wing scales responded to butterfly distribution. Virtual simulations and Spearman tests were used to confirm the correlation between the structure and cooling capacity of wing scales. The response was first resolved using three representative species with gradient differences in distribution, and then macroscopically validated using 99 species</span><span> within</span><span> their phylogenetic framework, with a presampling control to exclude potential effects of taxonomic position, body size, and migratory behaviour.</span> <span>Both optical and thermal properties were used to measure the cooling capacity. Thermal data generated from specimens in different states were used to exclude the effects of other thermoregulatory pathways.</span></p> <p><span>The results show that the cooling capacity of butterfly wings decreases and becomes more homogeneous as the temperature of their habitat decreases. The decrease in cooling capacity is due to the decrease in maximum emissivity, while the homogenisation is due to both the decrease in maximum emissivity and the increase in minimum emissivity. Variation in cooling capacity is due to changes in the structure of wing scale, which homogenises as the habitat becomes colder. As butterflies generally spread from the tropics to temperate zones, it is inferred that the generation of a low overall cooling capacity through structural homogenisation of wing scales has supported the dispersal of butterflies.</span></p> <p><span>For the first time, we provide cascading evidence for the links between butterfly distribution, thermal adaptation, and functional morphology. We also highlight the role of structural homogenisation on the poikilothermic body surface in the adaptive process for dispersal. Further investigation using genetic information would be beneficial to resolve the mechanism behind thermal adaptation at a deeper level.</span></p>
Enhancing concrete properties with microsilica and fly ash as cement replacements: an experimental study
<p>Enhancing concrete properties with microsilica and fly ash as cement replacements: an experimental study</p>
The impact of Mn nonstoichiometry on the oxygen mass transport properties of La0.8Sr0.2MnyO3±δ thin films
<p>Dataset for the article: Francesco M Chiabrera <em>et al</em> 2022 <em>J. Phys. Energy</em> <strong>4</strong> 044011 (DOI 10.1088/2515-7655/ac98df)</p> <p>The dataset contains:</p> <ul> <li>"AFM.rar" : AFM of LSMy thin films with composition y=0.85 and y=1.00.</li> <li>"cell expansion_experimental and antisite model_Mn compositions.txt": measured lattice expansion and calculated by antisites model</li> <li>"Defect chemistry models.xlsx". Excel worksheet containing the automatic calculation of the three defect chemistry models studied (dilute, Mn vacancies and La antisites)</li> <li>"EDX_Mn compositions.txt" Mn/(La+Sr) ratios (y) measured by EDX</li> <li>"fraction of 18O_exp and fittings.rar" 18O depth profiles measured by SIMS after the exchange at 650 ºC for 3540 s (for y=0.85 and y=1.00) and 4000 s (for y=0.88, y=0.94 and y=0.99) and depth profile fitting.</li> <li>"lattice parameter_Mn composition.txt": evolution of lattice parameter measured by XRD vs Mn content.</li> <li>"oxygen mass transport parameters.rar": diffusivity and oxygen exchange parameter extracted by SIMS for the samples with different Mn content.</li> <li>"PALS intensities_Mn composition.txt": Relative intensities of Mn and La vacancies measured by PALS for different Mn content.</li> <li>"positron lifetimes.rar" : Positron lifetimes of main defects (La and Mn vacancies) as a function of photon energy for different Mn content.</li> <li>"RSM103.rar" Reciprocal SPace maps around 103 reflections of the thin films for different Mn content.</li> <li>"TEM Figures_y0.85.pdf" Collection of TEM cross sectional figures of the sample with y=0.85.</li> <li>"XRD.rar" theta-2theta scans of the LSMy thin films for different Mn content around the 002 reflection.</li> </ul>
Stellar properties of observed stars stripped in binaries in the Magellanic Clouds - Spectral Models
<p>This Zenodo repository is one of three Zenodo repositories related to the article "Stellar properties of observed stars stripped in binaries in the Magellanic Clouds" by Y. Götberg, M.R. Drout, A.P. Ji, J.H. Groh, B.A. Ludwig, P.A. Crowther, N. Smith, A. de Koter, and S.E. de Mink. In the article, we analyze the optical spectra of ten stars and measure their stellar properties using spectral fitting. This repository contains the full spectral model grid computed using the 1D non-LTE radiative transfer code CMFGEN (see Hillier & Miller 1998 and http://kookaburra.phyast.pitt.edu/hillier/web/CMFGEN.htm). The grid spans three parameters: temperature, surface gravity, and surface hydrogen mass fraction (which also sets the surface helium mass fraction; Y = 1 - X - Z). See Section 4.1 for more details. Below, we describe the content presented here in more detail:</p> <ul> <li><strong>0_ReadMe.txt</strong>: A text file where we describe some more details regarding the content.</li> <li><strong>S41_spectral_model_grid_parameters.txt (95 KB):</strong> A table containing relevant parameter information for each model in the spectral model grid presented in Section 4.1.</li> <li><strong>S41_spectra_spectral_model_grid.tar.gz (479MB)</strong>: A .tar.gz containing the spectral energy distributions and normalized spectra in a text file for each model. The full CMFGEN models are provided as well (see below). This .tar.gz becomes 3.2 GB when inflated.</li> <li>Complete CMFGEN models for the full spectral model grid. Because of the size of these models, we group them into tarballs with one surface hydrogen mass fraction and one effective temperature, labeled for example <strong>XHs0.01_T40000.tar.gz</strong> (that is, this tarball contains a set of models with different surface gravity). Each of these have a size of ~1-3GB and when inflated the total content is ~5GB, and each model has about 500MB.</li> </ul>
Petrophysical properties of limestone and sandstone used as structural material for Roman buildings on the island of Rab in Croatia
<p>The results of EDS analysis for Lopar sandstones and limestones.</p>
Magnetic properties of siliciclastic cave sediments from the Ciclovina Uscată Cave
<p>Magnetic properties of siliciclastic cave sediments from the Ciclovina Uscată Cave (South Carpathians, Romania: 45.574693° N, 23.139071° E, 766 m). Further details can be found in Panaiotu, C. & Petrea, C., 2009. Magnetic properties of sediments from the Ciclovina Uscata Cave. In: Alexandru Petculescu, Dumitru Murariu (eds), The first ecological reconstruction of underground environment from Romania- Ciclovina Uscata Cave -, Editura Universitară, Bucureşti, pp. 97-110 (ISBN: 978-973-749-792-5) (see the attached files chapter 6.pdf, References chapter 6.pdf).</p>
Fig. 2. Diagnostic 1 H, 1 H in Pholiols E-K, lanostane-type triterpenes from Pholiota populnea with anti-inflammatory properties
Fig. 2. Diagnostic 1 H, 1 H–COSY, HMBC and NOESY correlations of pholiol I (5).
Fig. 1 in The ethnobotany, phytochemistry, and biological properties of Nigella damascena - A review
Fig. 1. Detail of the flower of N. damascena (Photo by: Pasquale Marino).
Fig. 5 in The ethnobotany, phytochemistry, and biological properties of Nigella damascena - A review
Fig. 5. Flavonoids (41–52) and aromatic compounds (53–57) isolated from N. damascena.
Fig. 4 in The ethnobotany, phytochemistry, and biological properties of Nigella damascena - A review
Fig. 4. Glycosidic triterpenes (29–40) isolated from N. damascena.
Fig. 2 in The ethnobotany, phytochemistry, and biological properties of Nigella damascena - A review
Fig. 2. Alkaloids (1–5) and damasterpenes (6–13) isolated from N. damascena.
Fig. 3. Dolabellanes isolated from N. sativa L in The ethnobotany, phytochemistry, and biological properties of Nigella damascena - A review
Fig. 3. Dolabellanes isolated from N. sativa L. (14–23) and N. glandulifera (24–28).
Supplementary material 1 from: Yulyana A, Chaidir C, Simanjuntak P, Sulastri L, Abdillah S (2023) The water fraction of Cantigi (Vaccinium varingiaefolium Bl. Miq.) fruits demonstrate the highest antimetabolic syndrome properties on enzyme assay. Pharmacia 70(3): 587-594. https://doi.org/10.3897/pharmacia.70.e109333
Phytochemical screening of Cantigi extract
Fig. 1 in Beta-lapachone: Natural occurrence, physicochemical properties, biological activities, toxicity and synthesis
Fig. 1. Lapachol (1), α-lapachone (2), and β-lapachone (3) chemical structures.
Fig. 2 in Beta-lapachone: Natural occurrence, physicochemical properties, biological activities, toxicity and synthesis
Fig. 2. β-Lapachone (3) from the intramolecular cyclization of lapachol (1) using acid catalysis.
Fig. 5 in Volatile phenolics: A comprehensive review of the anti-infective properties of an important class of essential oil constituents
Fig. 5. Mechanism of antifungal action of volatile phenolics.
Fig. 4 in Volatile phenolics: A comprehensive review of the anti-infective properties of an important class of essential oil constituents
Fig. 4. Mechanism of antibacterial action of volatile phenolics.
Fig. 3 in Volatile phenolics: A comprehensive review of the anti-infective properties of an important class of essential oil constituents
Fig. 3. Term map generated from all keyword fields on the anti-infective of volatile phenolics.
Effect of microwave-vacuum drying on the physicochemical properties of a functional tomato snack bar
<p>Abstract</p> <p>BACKGROUND</p> <p>Tomato is one of the indispensable ingredients of the Mediterranean diet. Reformulation of traditional Mediterranean products to increase the adherence of the consumers is getting popular. In this study, a tomato snack bar enriched with olive powder and pea protein was developed by using microwave-vacuum drying. Formulations also included the tomato powder (TP) and low methoxylated pectin (LMP) as a structuring agent.</p> <p>RESULTS</p> <p>The moisture content (MC) of the microwave-vacuum-dried samples varied in the range 13.6%-19.8% and water activity (<em>a</em><sub>w</sub>) values were ~0.6. The LMP and TP concentration affected the color of microwave-vacuum-dried samples. However, the color mainly changed in conventionally dried samples due to browning. In microwave-vacuum-dried samples, lycopene content decreased with increasing LMP, but increased with increasing TP. Textural properties of microwave-vacuum-dried snack bars increased with increasing LMP and TP.</p> <p>CONCLUSION</p> <p>Both texture and FTIR spectroscopy results indicated that there was a network formation due to the contribution of protein and pectin; however, the type of interaction was highly dependent on the drying mechanism. NMR relaxometry data showed that microwave-vacuum-dried samples had a more uniform water distribution. Besides its time and energy efficiency, microwave-vacuum drying improved the color and textural properties of tomato snack bars compared to conventionally dried ones.</p>
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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.