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6,175 results for “Composite”
Figure 3 in Diet composition of an invasive population of Lithobates catesbeianus (American Bullfrog) from Argentina
Figure 3. Index of relative importance (IRI) of prey consumed by juvenile Lithobates catesbeianus; % Number (%N) represents the numerical percentage and % Volume (%Vol) the volumetric percentage, and the horizontal axis represents the frequency of occurrence of each item.
Figure 1 in Diet composition of an invasive population of Lithobates catesbeianus (American Bullfrog) from Argentina
Figure 1. (A) Location of studied invasive population of Lithobates catesbeianus from San Juan (black dot); (B) typical environment where the bullfrogs were captured for this study, around the Castaño Viejo River.
Figure 2 in Comparison of the species composition of Gamasina mite communities (Acari: Mesostigmata) in selected caves of the Kraków-Cz stochowa Upland (southern Poland) and their immediate surroundings
Figure 2. Diagram of the correspondence analysis (CA) for the sampling sites. The diagram shows only the most important species (for abbreviations see Table 1).
40Ar/39Ar dating of the East Tenda Shear Zone: Chemical composition of white mica and ages data
<p>In order to clarify the link between <sup>40</sup>Ar/<sup>39</sup>Ar record in white mica and deformation, we performed <em>in situ</em> and bulkwise <sup>40</sup>Ar/<sup>39</sup>Ar dating over the East Tenda Shear Zone (Tenda massif, alpine Corsica). White micas from 11 samples were selected and extensively analyzed using <em>in situ</em> techniques across nested scales of strain-intensity gradients developed at the expense of a Late-Variscan protolith. <sup>40</sup>Ar/<sup>39</sup>Ar systematics are unaffected by inherited Ar and directly linked to deformation with little or no Ar lattice (volume) diffusion. Extensive sampling allows constraining the end of deformation related to burial and exhumation respectively at ~34 and ~22 Ma, bracketing the duration of regional extensional shear to ~12 Myr. Results also highlight a regional strain localization toward the upper contact of the unit with smaller-scale localization in specific lithologies, notably meta-aplites.</p> <p> Second-order complications exist, such as local ill-defined correlations between ages and finite-strain microstructures. Thus, the use of a strain gradient as a proxy for strain localization in time is regionally valid but sometimes locally too complex to track or resolve strain partitioning/localization trends at the meter (outcrop) scale and below. Age mixing and incomplete isotopic homogenization by dissolution/precipitation are identified as the main causes of local discrepancies that complicate the link between age and microstructure and the derivation of strain localization rates. Tracking temporal trends in shear distribution across regional-scale deformation gradients in such settings is possible but requires a multi-scale approach as implemented here to reveal younging patterns associated to strain localization.</p>
Data for: Sedimentary ancient DNA and pollen reveal the composition of plant organic matter in Late Quaternary permafrost sediments of the Buor Khaya Peninsula (north-eastern Siberia)
<p>Organic matter deposited in ancient, ice-rich permafrost sediments is vulnerable to climate change and may contribute to the future release of greenhouse gases; it is thus important to get a better characterization of the plant organic matter within such sediments. From a Late Quaternary permafrost sediment core from the Buor Khaya Peninsula, we analysed plant-derived sedimentary ancient DNA (sedaDNA) to identify the taxonomic composition of plant organic matter, and undertook palynological analysis to assess the environmental conditions during deposition. Using sedaDNA, we identified 154 taxa and from pollen and non-pollen palynomorphs we identified 83 taxa. In the deposits dated between 54 and 51 kyr BP, sedaDNA records a diverse low-centred polygon plant community including recurring aquatic pond vegetation while from the pollen record we infer terrestrial open-land vegetation with relatively dry environmental conditions at a regional scale. A fluctuating dominance of either terrestrial or swamp and aquatic taxa in both proxies allowed the local hydrological development of the polygon to be traced. In deposits dated between 11.4 and 9.7 kyr BP (13.4–11.1 cal kyr BP), sedaDNA shows a taxonomic turnover to moist shrub tundra and a lower taxonomic richness compared to the older samples. Pollen also records a shrub tundra community, mostly seen as changes in relative proportions of the most dominant taxa, while a decrease in taxonomic richness was less pronounced compared to sedaDNA. Our results show the advantages of using sedaDNA in combination with palynological analyses when macrofossils are rarely preserved. The high resolution of the sedaDNA record provides a detailed picture of the taxonomic composition of plant-derived organic matter throughout the core, and palynological analyses prove valuable by allowing for inferences of regional environmental conditions.</p>
Nectar chemistry is not only a plant's affair: floral visitors affect nectar sugar and amino acid composition
<p>This dataset contains data used in the analyses performed in the article entitled "Nectar chemistry is not only a plant’s affair: floral visitors affect nectar sugar and amino acid composition". The Excel file contains three sheets. 'Raw data' contains concentration of sugars, amino acids, pollen grains and yeast cells measured in several flowers and plants of <em>Gentiana lutea</em> subsp. <em>symphyandra</em>, belonging to different experimental treatments. 'Amino acid diversity' contains the concentration of specific protein and non-protein amino acids found in a subset of the above mentioned flowers. 'Pollen suspension test' contains the concentration of the same amino acids found in nectar after suspension of pollen of <em>G. lutea</em> at different time intervals (0, 1, 4, and 24 hours).</p>
Data from: Fungal communities are important determinants of bacterial community composition in deadwood
<p>Fungal-bacterial interactions play a key role in the functioning of many ecosystems. Thus, understanding their interactive dynamics is of central importance for gaining predictive knowledge on ecosystem functioning. However, it is challenging to disentangle the mechanisms behind species associations from observed co-occurrence patterns and little is known about the directionality of such interactions. Here we apply joint species distribution modelling to high-throughput sequencing data on co-occurring fungal and bacterial communities in deadwood to ask whether fungal and bacterial co-occurrences result from shared habitat use (i.e. dead wood's properties), or whether there are fungal-bacterial interactive associations after habitat characteristics are taken into account. Moreover, we test the hypothesis that the interactions are mainly modulated through fungal communities influencing bacterial communities. For that, we quantified how much the predictive power of the joint species distribution models for bacterial and fungal community improved when accounting for the other community. Our results show that fungi and bacteria form tight association networks (i.e. some species pairs co-occur more frequently and other species pairs co-occur less frequently than expected by chance) in deadwood that include common (or opposite) responses to the environment, as well as (potentially) biotic interactions. Additionally, we show that information about the fungal occurrences and abundances increased the power to predict the bacterial abundances substantially, whereas information about the bacterial occurrences and abundances increased the power to predict the fungal abundances much less. Our results suggest that fungal communities may mainly affect bacteria in deadwood.</p> <p><b>Importance</b></p> <p>Understanding the interactive dynamics between fungal and bacterial communities is important to gain predictive knowledge on ecosystem functioning. However little is known about the mechanisms behind fungal-bacterial associations and the directionality of species interactions. Applying joint species distribution modelling to high throughput sequencing data on co-occurring fungal-bacterial communities in deadwood, we found evidence that non-random fungal-bacterial associations derive from shared habitat use, as well as (potentially) biotic interactions. Importantly,<i> </i>the combination of cross-validations and conditional cross-validations helped us to answer the question about the directionality of the biotic interactions, providing evidence that suggests that fungal communities may mainly affect bacteria in deadwood. Our modelling approach may help gaining insight into the directionality of interactions between different components of the microbiome in other environments.</p>
Ultrasonic guided-waves in quasi-isotropic and cross-ply composite beams using a finite element model
<p>Ultrasonic guided-wave data taken from numerical evaluations of a finite element model (FEM) considering two composite beam structures and applying three noise levels in signal-to-noise ratio (SNR):</p> <ul> <li>Quasi-isotropic carbon fiber composite beam (dimensions: 1m x 4mm x 2mm) with a [+45/-45/90/0]_s layup and a transverse crack (1mm deep at 0.40m from excitation) in it and the following noise levels (the file directories are specified in parentheses): <ul> <li>Noisefree (/Quasi-Isotropic_Crack/Noisefree/MeasurementCrack_NF.mat)</li> <li>SNR 10 dB (/Quasi-Isotropic_Crack/SNR_10dB/MeasurementCrack_10dB.mat)</li> <li>SNR 5 dB (/Quasi-Isotropic_Crack/SNR_05dB/MeasurementCrack_5dB.mat)</li> </ul> </li> <li>Cross-ply carbon fiber composite beam (dimensions: 1m x 3mm x 2mm) with [0_{2}/90]_s stacking sequence and a delamination (5mm long at 0.45m from excitation) in it and the following noise levels: <ul> <li>Noisefree (/Cross-Ply_Delam/Noisefree/MeasurementDelam_NF.mat)</li> <li>SNR 10 dB (/Cross-Ply_Delam/SNR_10dB/MeasurementDelam_10dB.mat)</li> <li>SNR 5 dB (/Cross-Ply_Delam/SNR_05dB/MeasurementDelam_5dB.mat)</li> </ul> </li> </ul> <p>FEM notes: solid elements (i.e. C3D8R in Abaqus) with the following dimensions: 0.5mm thick, 0.5mm width, and 0.2mm long. Damage modes are modeled by node duplication.</p> <p>Ultrasonic tests data: 6-cycle Hanning windowed sinusoid centered at 100 kHz of frequency. Excitation signal at one end of the beam in the vertical direction. Sensor situated at 0.2m from the point of excitation and measuring for 720 \mu s. First antisymmetric mode (A0) is excited.</p>
IODP Expedition 368X Carbonates composite report
<p>This composite report includes data from two analyses (total carbon from "Elemental analysis [CHNS]" and inorganic carbon from "[Coulometer]"). Each row combines the CHNS and Coulometer data from measurements made on the same sample at the same time for a particular section and section offset (depth). If data do not exist for a particular expedition, the column does not appear. To identify individual samples and tests, see each separate data type (Elemental analysis and Coulometer). If the same sample was measured multiple times by any of the methods, results in the report will be combined on one line where possible. Each additional replicate result will be shown in subsequent rows and will be combined where possible. Report includes results for carbon forms: total, inorganic, calcium carbonate, and organic by difference, along with total hydrogen, nitrogen, and sulfur.</p>
Experimental data in support of manuscript entitled 'A homogenisation scheme for Lamb ultrasound wave dispersion in textile composites through multiscale wave and finite element modelling'
<p>This data set contains the ultrasonic guided wave signals (signal amplitudes as a function of time for different sensors) that were generated and recorded using the transducers and controlling instrument in support of the manuscript entitled 'A homogenisation scheme for Lamb ultrasound wave dispersion in textile composites through multiscale wave and finite element modelling'. The controlling software was programmed in MATLAB and that the attached files are in accordance to the .mat file format.</p> <p>The file names follow the notation described below with an example:</p> <p>S1_10kHz_2cyc (illustrated with an example): S1 represents the number of sensors; 10kHz represents the exciting frequency; 2cyc represents the cycle number of input waveform.</p> <p>Details on the experiment setup are provided within an extra file ('Readme' file).</p>
Data from: Hierarchical social networks shape gut microbial composition in wild Verreaux's sifaka
<p>In wild primates, social behaviour influences exposure to environmentally acquired and directly transmitted microorganisms. Prior studies indicate that gut microbiota reflect pairwise social interactions among chimpanzee and baboon hosts. Here, we demonstrate that higher-order social network structure—beyond just pairwise interactions—drives gut bacterial composition in wild lemurs, which live in smaller and more cohesive groups than previously studied anthropoid species. Using 16S rRNA gene sequencing and social network analysis of grooming contacts, we estimate the relative impacts of hierarchical (i.e. multilevel) social structure, individual demographic traits, diet, scent-marking, and habitat overlap on bacteria acquisition in a wild population of Verreaux's sifaka (<em>Propithecus</em> <em>verreauxi</em>) consisting of seven social groups. We show that social group membership is clearly reflected in the microbiomes of individual sifaka, and that social groups with denser grooming networks have more homogeneous gut microbial compositions. Within social groups, adults, more gregarious individuals, and individuals that scent-mark frequently harbour the greatest microbial diversity. Thus, the community structure of wild lemurs governs symbiotic relationships by constraining transmission between hosts and partitioning environmental exposure to microorganisms. This social cultivation of mutualistic gut flora may be an evolutionary benefit of tight-knit group living.</p>
Dataset for publication Cuevas K., Chougan M., Martin F., Ghaffar SH, Stephan D., Sikora P. 3D printable lightweight cementitious composites with incorporated waste glass aggregates and expanded microspheres – Rheological, thermal and mechanical properties. Journal of Building Engineering (2021) 44, 102718
<p>Dataset consisting of G-code for 3D mortar specimen's printing path and particle size distribution (Origin file) of materials used in the study Cuevas K., Chougan M., Martin F., Ghaffar SH, Stephan D., Sikora P. 3D printable lightweight cementitious composites with incorporated waste glass aggregates and expanded microspheres – Rheological, thermal and mechanical properties. Journal of Building Engineering (2021) 44, 102718. <a href="https://doi.org/10.1016/j.jobe.2021.102718">https://doi.org/10.1016/j.jobe.2021.102718</a></p>
Vertical Compositional Variations of liquid hydrocarbons in Titan's Alkanofers
<p>This data set is composed of six archives (.TAR) which collect input and output files from GROMACS (2018 version) simulations on binary and ternary mixtures representative of liquids in Titan's alkanofers:<br> 3000CH4+1000C2H6+1000N2_90K.tar<br> 3000CH4+1000C2H6+1000N2_95K.tar<br> 4000CH4+1000C2H6_90K.tar<br> 4000CH4+1000C2H6_95K.tar<br> 4000CH4+1000N2_90K.tar<br> 4000CH4+1000N2_95K.tar</p> <p>The system under study is always composed of 5000 molecules. Simulations at 90 K correspond to a pressure of 1.5 bar while those at 95K correspond to a pressure of 120 bar.</p> <p>Each archive contains 5 directories:</p> <p>1)<strong> INPUTS:</strong> It contains all the GROMACS input files (.GRO, .ITP, .TOP) needed to build the simulation box as well as the files required to prepare the molecular dynamics (MD) simulations (.MDP and .TPR). More details about the content of these files is available in the GROMACS manual (https://www.gromacs.org/).<br> 2 README files are added to inform the reader on useful GROMACS commands used here:<br> - README_box.txt: commands to build the simulation box.<br> - README_NVT+NPT-runs.dat: commands to run MD simulations and treat some data.</p> <p>2) <strong>NVTOUT_EQ</strong>: It contains all the files related to the 1-ns NVT equilibration phase, namely, the script for job submission (.SH) together with the related standard ouput files (.OUT and .ERR), and typical GROMACS output files (.GRO, .LOG, .EDR, .TRR, .CPT).<br> Post-treatment data are collected in 2 files:<br> - stats_nvt-eq.dat: Average potential energy, kinetic energy, total energy, temperature and pressure.<br> - energy_nvt-eq.xvg: Potential energy (col. 2), kinetic energy (col. 3), total energy (col. 4), temperature (col. 5), and pressure (col. 6) as a function of time (col.1).</p> <p>3) <strong>NPTOUT_EQ</strong>: It contains the same kind of files as NVTOUT_EQ but for the first 9 ns of the 19-ns NPT equilibration phase.<br> Post-treatment data are collected in 2 files:<br> - stats_npt-eq.dat: Average potential energy, kinetic energy, total energy, temperature, pressure, volume, density, and enthalpy.<br> - energy_npt-eq.xvg: Potential energy (col. 2), kinetic energy (col. 3), total energy (col. 4), temperature (col. 5), and pressure (col. 6), volume (col.7), density (col.8), and enthalpy (col. 9) as a function of time (col. 1).</p> <p>4) <strong>NPTOUT_EQ-RERUN1</strong>: It contains the same kind of files as NPTOUT_EQ but for the last 10 ns of the 19-ns NPT equilibration phase.</p> <p>5) <strong>NPTOUT_ACC</strong>: It contains the same kind of files as NPTOUT_EQ but for the 10-ns NPT accumulation phase. Additional data files also provide diffusion coefficients and shear viscosities depending on the mixture under consideration (see below).</p> <p><em>For binary mixtures</em>, the mean squared displacements (MSD) of species and the corresponding diffusion coefficients are estimated with the "gmx msd" GROMACS command.<br> Data are collected in two files:<br> - msd-CH4.xvg / msd-C2H6.xvg / msd-N2.xvg: MSD (col. 2) as a function of time (col. 1). The value of the corresponding diffusion coefficient (in cm<sup>2 </sup>s<sup>-1</sup>) is indicated as a comment in the preamble of these files.<br> - DCH4.dat / DC2H6.dat / DN2.dat: Estimated diffusion coefficient (in cm<sup>2 </sup>s<sup>-1</sup>) for the three moelcules under study.</p> <p><em>For ternary mixtures</em>, transverse current autocorrelation functions (TCAF) are computed with the "gmx tcaf" GROMACS command to get values of the shear viscosity:<br> - tcaf-slurm.sh, tcaf.out tcaf.xvg. tcaf_all.xvg, tcaf_cub.xvg, tcaf_fit.xvg: script (.SH) and several output files with transverse current autocorrelation functions (.XVG).<br> - visc_k.xvg: shear viscosity (col.2) as a function of the wave number (col.1). The last four viscosities can be fitted to get the shear viscosity at infinite wavelength (see GROMACS manual).</p>
3D Interactive Sudden Stratospheric Warming composite
<p>An interactive website using WebGL for 3D visualization. Shows a "generic" evolution of a Sudden Stratospheric Warming, as described in my latest paper (submitted, will be updated with reference).</p> <p>Shown is the zonal mean evolution of anomalous zonal wind (isosurfaces/contours) and anomalous Eliassen-Palm flux (arrows) as a function of latitude, time, and pressure.</p> <p>Created with ParaView and the pv_atmos package.</p> <p>Left Mouse Click: Rotate</p> <p>Right Mouse Click: Zoom</p> <p>Middle Mouse Click: Pan</p>
3D Interactive Generic Sudden Stratospheric Warming composite
<p>An interactive website using WebGL for 3D visualization. Shows a "generic" evolution of a Sudden Stratospheric Warming, as described in my latest paper (submitted, will be updated with reference).</p> <p>Shown is the zonal mean evolution of anomalous zonal wind (isosurfaces/contours) and anomalous Eliassen-Palm flux (arrows) as a function of latitude, time, and pressure.</p> <p>Created with ParaView and the pv_atmos package.</p> <p>Left Mouse Click: Rotate</p> <p>Right Mouse Click: Zoom</p> <p>Middle Mouse Click: Pan</p>
X-ray CT data: fatigue damage in glass fibre/polyester composite used for wind turbine blades
<p>These data are obtained using a Zeiss Xradia Versa 520 scanner to scan a uni-directional glass fibre reinforced polyester composite made from a non-crimp fabric used for wind turbine blades. The scans were performed to study the fatigue damage progression in this material. The data is published together with the below journal paper, in which more information can be found. The present videos of the data relate directly to the figures in this paper.</p> <p>Jespersen, K. M., Zangenberg Hansen, J., Lowe, T., Withers, P. J., & Mikkelsen, L. P. (2016). <em>Fatigue damage assessment of uni-directional non-crimp fabric reinforced polyester composite using X-ray computed tomography</em>. <em>Composites Science and Technology</em>, <em>136</em>, 94–103. DOI:10.1016/j.compscitech.2016.10.006</p> <p>For use of these data, please remember to cite the above mentioned paper.</p> <p>Corresponding author, K. M. Jespersen, e-mail kmun@dtu.dk</p>
Guidelines for the rational design and engineering of 3D manufactured solid oxide fuel cell composite electrodes
<p>This file contains the data reported in the paper:</p> <p>A Bertei, F Tariq, V Yufit, E Ruiz-Trejo, N P Brandon, <em>Guidelines for the rational design and engineering of 3D manufactured solid oxide fuel cell composite electrodes</em>, <strong>Journal of the Electrochemical Society</strong> (2016)</p> <p>All the data here reported can be reproduced by solving the equations reported in the manuscript with the corresponding parameters.</p>
Supplementary material 5: Bombus spp trapped in Palmer Alaska, 2009 from: Bumble Bees (Hymenoptera: Apidae: Bombus spp.) of Interior Alaska: Species Composition, Distribution, Seasonal Biology, and Parasites - Biodiversity Data Journal 3: e5085 (08 May 2015) https://doi.org/10.3897/BDJ.3.e5085
1040 specimens of fourteen species trapped using Blue Vane pollinator traps with counts of queens, workers, and males by date.
Supplementary material 3: Bombus spp trapped in Fairbanks Alaska, 2009 from: Bumble Bees (Hymenoptera: Apidae: Bombus spp.) of Interior Alaska: Species Composition, Distribution, Seasonal Biology, and Parasites - Biodiversity Data Journal 3: e5085 (08 May 2015) https://doi.org/10.3897/BDJ.3.e5085
2,131 specimens of fifteen species trapped using Blue Vane pollinator traps with counts of queens, workers, and males by date.
Supplementary material 2: Bombus spp trapped in Delta Junction Alaska, 2010 from: Bumble Bees (Hymenoptera: Apidae: Bombus spp.) of Interior Alaska: Species Composition, Distribution, Seasonal Biology, and Parasites - Biodiversity Data Journal 3: e5085 (08 May 2015) https://doi.org/10.3897/BDJ.3.e5085
1812 specimens of sixteen species trapped using Blue Vane pollinator traps with counts of queens, workers, and males by date.
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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.