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6,175 results for “Composition”
Experimental data for each operating mode of the composite cycle
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Optimization of the thermomechanical behaviour of TRC composites
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Fabrication of Ethyl Cellulose and Hydroxypropyl Cellulose Composite Microcapsules via Solid-Oil-Oil Emulsion for Encapsulation of L-Tryptophan
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Fe-FeH Eutectic Melting Curve and the Estimates of Earth's Core Temperature and Composition
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Raw Data of "Ultra-High Strength of Nanocrystalline Inconel 718 Composites by High-Pressure Torsion Deformation and Graphite Reinforcements"
<p>The data set contains the raw data used in "Ultra-High Strength of Nanocrystalline Inconel 718 Composites by High-Pressure Torsion Deformation and Graphite Reinforcements"</p> <p>The file "READ ME FIRST" is a list that assigns the file names of the raw data to the figures used in this study.</p> <p>The raw data contains:</p> <ul> <li>SEM micrographs and fractographs</li> <li>TEM micrographs</li> <li>EDS measurements</li> <li>Microhardness measurements</li> <li>Micro tensile test measurements</li> </ul>
In-situ Characterization Data for Carbon Fiber Composite Manufacturing
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The potential of seep carbonates to preserve the seawater isotope compositions
<p><span>Supplemental information present Supplementary Notes and Supplementary Tables. </span></p>
Stock specific isotopic composition of maturing sockeye salmon in the North Pacific
<p>The stock-specific distribution of maturing salmon in the North Pacific has been a persistent information gap that has prevented us from determining the ocean conditions experienced by individual stocks. This continues to impede understanding of the role of ocean conditions in stock-specific population dynamics. <a name="_Hlk21877970">We assessed scale archives for 17 sockeye salmon (<i>Oncorhynchus nerka</i>) stocks covering the entire North Pacific, from the Columbia River (Washington State and British Columbia) to Kamchatka Peninsula (Russia), to infer salmon locations during their last growing season before returning to their spawning grounds. The approach used, first pioneered in salmon stocks in the Atlantic, relies on the relationship between temporal changes in δ<sup>13</sup>C in salmon scales and sea surface temperature to estimate salmon distribution based on correlation </a>strength. An advantage of this approach is that it does not require fish sampling at sea, but relies on existing fishery agency collections of salmon scales. Significant correlations were found for 7 of the stocks allowing us to propose plausible feeding grounds. Complementary information from δ<sup>15</sup>N, historical tagging studies, and connectivity analysis were used to further refine distribution estimates. This study is a first step toward estimating stock-specific distributions of salmon in the North Pacific, and provides a basis for the application of the approach to other salmon scale archives. This information has the potential to improve our ability to relate stock dynamics to ocean conditions, ultimately enabling improved stock management. For example, our estimated distributions of Bristol Bay and NE Pacific stocks demonstrated that they occupy different areas with a number of the former being distributed in the high productivity shelf waters of the Aleutian Islands and Bering Sea. This may explain why these stocks seem to have responded differently to changes in ocean conditions, and the long term trend of increased productivity of Bristol Bay sockeye.</p>
Data from: Diet composition of reintroduced Red-and-Green Macaws (Ara chloropterus) reflects gradual adaptation to life in the wild
<p>Over the last two centuries, the Red-and-Green Macaw (<em>Ara chloropterus) </em>has become locally extinct in Argentina. In an attempt to restore its key ecosystem functions as both disperser and regulator of large-seeded plants, a reintroduction project was initiated at the Iberá National Park in northeastern Argentina. The ability of released individuals to find food is crucial, especially when working with captive-bred animals, as long-term establishment of a self-sustaining population depends on their short-term ability to exploit wild food sources. Monitoring of feeding habits is usually conducted through behavioral observation, but in recent years DNA metabarcoding has emerged as an alternative for obtaining highly resolved data on diet composition. In this study, we use a combination of both techniques to characterize the breadth and composition of the reintroduced macaws' diet. In addition, we compare the efficiency of both observational and molecular techniques to assess diet composition in a frugivorous bird. Individuals fed on a variety of plant species (n = 49) belonging to a broad phylogenetic spectrum (28 families). Dietary richness estimated by direct observation and DNA metabarcoding was similar, though smaller than the combination of the two datasets as both techniques detected at least 15 species not recorded by the other method. While the total number of detected species was higher for observational data, the rate of species-detection per sampling day was higher for DNA metabarcoding. These results suggest that a combination of both methods is required in order to obtain the most accurate account of the total diversity of the diet of a bird species. The ability of reintroduced macaws to successfully exploit local food resources throughout the year indicates a good level of adjustment to the release site, an important step towards the creation of a stable, self-sustaining population of Red-and-Green Macaws in Northern Argentina.</p>
Evaluation of MEMS NIR spectrometers for on-farm analysis of raw milk composition
<p>Today, measurement of raw milk quality and composition relies on Fourier-transform infrared spectroscopy to monitor and improve dairy production and cow health. However, these laboratory analyzers are bulky, expensive and can only be used by experts. Moreover, the sample logistics and data transfer delay the information on product quality, and the measures taken to optimize the care and feeding of the cattle rendering them less suitable for real-time monitoring. An on-farm spectrometer with compact size and affordable cost could bring a solution for this discrepancy. This paper evaluates the performance of Micro-Electro-Mechanical-System (MEMS) based near-infrared (NIR) spectrometers as on-farm milk analysers. These spectrometers use Fabry-Pérot interferometers for wavelength tuning, giving them the advantage of very compact size and affordable price. This study discusses the ability of MEMS spectrometers to reach the accuracy limits set by ICAR for at-line analyzers of the milk content regarding fat, protein and lactose. According to achieved results, the transmission measurements with the NIRONE2.5 spectrometer perform best, with an acceptable root mean squared error of prediction (RMSEP=0.21% w/w) for the measurement of milk fat and excellent performance (RMSEP≤0.11% w/w) for protein and lactose. In addition, the transmission measurements using the NIRONE2.0 module give similar results for fat and lactose (RMSEP of 0.21 and 0.10% w/w respectively), while the prediction of protein is slightly deteriorated (RMSEP=0.15% w/w). These results show that the MEMS spectrometers can reach sufficient accuracy for at-line and in-line fat, protein and lactose prediction.</p>
Composite Gini Coefficient for Nature-based Solutions (Hydrology, Environment, Society)
<p>Composite Gini Coefficient for Nature-based Solutions (Hydrology, Environment, Society)</p>
Hydrodynamic-driven changes in the source and composition of sedimentary organic matter via grain size distribution in shallow lakes
<p>Sediment organic matter (SOM) differs in composition and function in different size fractions in relation to material and energy flows. The hydrodynamic effects on a lake's autochthonous (terrestrial plants) and allochthonous (microalgae, aquatic plants and bacteria) inputs and transformation, and the components of SOM are still far from clear. To elucidate the SOM composition as driven by the hydrodynamic conditions associated with sedimentary grain size, we performed an ecosystem-level investigation in the shallow lake Izunuma, Japan, measuring source-specific fatty acids and the current velocity. High organic matter concentrations occurred in the finer fractions. Bacteria were dominant in the <32 µm fraction, microalgae were mainly present in the <32 and 63-125 µm fractions, aquatic plants appeared to be evenly distributed in all size fractions and terrestrial plants mainly comprised the >125 µm fraction. Although the linear correlation between current velocity and sedimentary total organic carbon (TOC) was not statistically significant, the relationship between current velocity frequency and sedimentary TOC was significant. The highest Pearson coefficient occurred at a current velocity of 6 cm/s in sand. The relationship between allochthonous inputs and current velocity frequency was similar to that of TOC. Autochthonous organics had the greatest coefficient with two peaks at 4.5 and 8 cm/s. The threshold for sand resuspension varied with organic sources, while this phenomenon was absent in cohesive mud. Hydrodynamic forces affected the grain size of sediments and drove the gradient distribution of the SOM sources, which should be considered when managing freshwater lakes in light of future climate change.</p>
Supplemental Material to "Artificial Music Producer: Filtering Music Compositions by Artificial Taste"
<p>The paper can be found here: <a href="https://doi.org/10.5281/zenodo.7088395">doi.org/10.5281/zenodo.7088395</a></p>
Influence of organic aerosol composition determined by offline FIGAERO-CIMS on particle absorptive properties in autumn Beijing
<p>Data used in the Figures</p>
Figure 38 in Diversity, distribution and community composition of fish in perialpine lakes – "Projet Lac" synthesis report
Figure 38: Examples of Scardinius spp caught in Projet Lac. Upper panel are northern S. erythrophthalmus caught in their native lakes. Upper middle panel are southern S. hesperidicus from their native southern perialpine lakes. Lower middle panel are S. hesperidicus from northern perialpine lakes. Bottom panel are a phenotypic hybrid from Chalain and a backcross hybrid from Zurich, i.e. a phenotypic S. erythrophthalmus that carried S. hesperidicus mitochondrial DNA. * indicates that the identity was confirmed by DNA barcoding.
Figure 61 in Diversity, distribution and community composition of fish in perialpine lakes – "Projet Lac" synthesis report
Figure 61: Two gillnet protocols used to sample all major lake habitats. The European standard, also called the CEN protocol, uses separate, horizontally-oriented nets to sample the benthic and pelagic zones. The vertical protocol uses columns of nets that simultaneously sample the fish community from the surface to the lake floor.
Figure 52 in Diversity, distribution and community composition of fish in perialpine lakes – "Projet Lac" synthesis report
Figure 52: Stickleback were dramatically larger in Upper Lake Constance compared to other lakes. Length frequency distribution of all Gasterosteus spp caught in Projet Lac. Scaled photos on the right show one of the larger individuals from each lake.
Figure 40 in Diversity, distribution and community composition of fish in perialpine lakes – "Projet Lac" synthesis report
Figure 40: The three different Phoxinus species recorded in Projet Lac. P. septimaniae from lakes Chalain and Poschiavo. P. csikii from lakes Thun, Lucerne, Walen. P. lumaireul from Lake Garda.
Figure 31 in Diversity, distribution and community composition of fish in perialpine lakes – "Projet Lac" synthesis report
Figure 31: Four adult Gobio caught in Upper Lake Constance in the same electrofishing action near the mouth of the Rhein-
Figure 30 in Diversity, distribution and community composition of fish in perialpine lakes – "Projet Lac" synthesis report
Figure 30: Underwater image of a fish very likely to be Rutilus pigus in Lake Maggiore. The photo was taken during Projet Lac sampling. The fish was mixed into a shoal of Rutilus rutilus, several individuals of which can be seen in the background.
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.