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1,930 results for “Matrix”
Assessing Heavy Metal Contamination in Agricultural Soils: A Predictive Model Integrating GIS Tools and Probability-Risk Matrix – Case Study: Guarda Region, Portugal
<p>In these files we can find the final risk map of heavy metal contamination for the guarding area in Portugal obtained according to the methodology explained in the paper "Assessing Heavy Metal Contamination in Agricultural Soils: A Predictive Model Instegrating GIS Tools and Probability-Risk Matrix - Case Study: Guarda Region (Portugal)</p> <p>Final Risk Equal.tiff: GeoTiff with a pixel size of 30m. EPSG:3763 - ETRS89 / Portugal TM06</p> <p>Also attached is the symbolisation for the image in .qml (Quantum GIS Layer Style File) format.</p> <p>A file called RISK RECLASS is also available, where you can find the risk classification maps for each of the studied factors: </p> <ul> <li>Proximity to roads</li> <li>Proximity to industrial areas</li> <li>Ph</li> <li>Soil organic content</li> <li>Slope</li> <li>Soil texture</li> <li>Mining extraction areas </li> <li>Drainage</li> </ul> <p>finally a DATABASE file where the data of the 360 points for the calculation of the risk maps can be found. </p>
Dataset for Modeling scattering matrix containing evanescent modes for wavefront shaping applications in disordered media
<h3>About the data set</h3> <p>The zipped folder contains the saved computational run data of the Matlab code packages associated with our manuscript titled "Modeling scattering matrix containing evanescent modes for wavefront shaping applications in disordered media". Two .mat data files "saved-data-Code-Package-1.mat" and "saved-data-Code-Package-2.mat" are available within the zipped folder which are associated with the Matlab code packages hosted in the <a href="https://github.com/michaelraju/Generalized-S-Matrix.git" target="_blank" rel="noopener">Github repository</a> . One may add the data files "saved-data-Code-Package-1.mat" and "saved-data-Code-Package-2.mat" to the <a href="https://github.com/michaelraju/Generalized-S-Matrix.git" target="_blank" rel="noopener">Github repository</a> code package folders "Code-Package-1" and "Code-Package-2" respectively. Loading the saved run data (by setting <em>new_run_flag=0</em> in the main.m file contained in the Github repository) helps to visualize the results presented in the paper, without actually performing a new computational run from scratch. On the other hand, setting the flag <em>new_run_flag=1</em> yields a fresh computational run, initializing a new disorder.</p> <div> <h3>Contribution</h3> </div> <p>The dataset, the associated code packages and the analytical and numerical formulations were developed by Michael Raju as part of his <a href="https://hdl.handle.net/10468/14107" target="_blank" rel="noopener">PhD thesis</a>. Baptiste Jayet and Prof. Stefan Andersson-Engels were involved in the PhD supervision. </p>
Multiple Speaker Separation from Noisy Sources in Reverberant Rooms using Relative Transfer Matrix
<p>This folder is the supplementary audio files for the paper "Multiple Speaker Separation from Noisy Sources in<br>Reverberant Rooms using Relative Transfer Matrix" submitted to the European Signal Processing Conference (EUSIPCO).</p>
Metadata matrix: year 2017 by keywords, from webQDA.
<p>Part of the thesis of Sonia Verdugo Castro (USAL, Spain). <br> Title of the article: "The gender gap in STEM higher education studies: visualisation of literature".<br> Authors of the publication: Sonia Verdugo-Castro, Mª Cruz Sánchez-Gómez, Alicia García-Holgado, Francisco J. García-Peñalvo</p>
Metadata matrix: year 2015 by keywords, from webQDA.
<p>Part of the thesis of Sonia Verdugo Castro (USAL, Spain). <br> Title of the article: "The gender gap in STEM higher education studies: visualisation of literature".<br> Authors of the publication: Sonia Verdugo-Castro, Mª Cruz Sánchez-Gómez, Alicia García-Holgado, Francisco J. García-Peñalvo</p>
Metadata matrix: publication type (papers) by authors, from webQDA.
<p>Part of the thesis of Sonia Verdugo Castro (USAL, Spain). <br> Title of the article: "The gender gap in STEM higher education studies: visualisation of literature".<br> Authors of the publication: Sonia Verdugo-Castro, Mª Cruz Sánchez-Gómez, Alicia García-Holgado, Francisco J. García-Peñalvo</p>
Metadata matrix: authors by year 2018, from webQDA.
<p>Part of the thesis of Sonia Verdugo Castro (USAL, Spain). <br> Title of the article: "The gender gap in STEM higher education studies: visualisation of literature".<br> Authors of the publication: Sonia Verdugo-Castro, Mª Cruz Sánchez-Gómez, Alicia García-Holgado, Francisco J. García-Peñalvo</p>
Metadata matrix: authors by year, from webQDA.
<p>Part of the thesis of Sonia Verdugo Castro (USAL, Spain).</p> <p>Title of the article: "The gender gap in STEM higher education studies: visualisation of literature".</p> <p>Authors of the publication: Sonia Verdugo-Castro, Mª Cruz Sánchez-Gómez, Alicia García-Holgado, Francisco J. García-Peñalvo</p>
Metadata matrix: publication type by authors, from webQDA.
<p>Part of the thesis of Sonia Verdugo Castro (USAL, Spain). <br> Title of the article: "The gender gap in STEM higher education studies: visualisation of literature".<br> Authors of the publication: Sonia Verdugo-Castro, Mª Cruz Sánchez-Gómez, Alicia García-Holgado, Francisco J. García-Peñalvo</p>
Performance breakdown for all algorithms for the matrix raefsky3 (M2)
<p>Runtime of computational kernels for different number of processes on matrix M2 with block size <span class="math-tex">\(k=32\)</span> after 100 iterations. For each kernel, we show the maximum time taken over all processes. The power scheme dominates the runtime in RandQB_EI. QR with column tournament pivoting dominates the runtime in the deterministic methods.</p>
2014 EPA National Emissions Inventory allocated to the grid cells of InMAP Source-Receptor Matrix
<p>This dataset is the 2014 EPA National Emissions Inventory (NEI) v1 allocated to the individual grid cells of InMAP Source-Receptor Matrix (<a href="https://zenodo.org/record/2589760#.Yds79GjMI2w">ISRM</a>). The source types is classified by EPA Source Classification Codes (SCCs). The dataset includes emissions of both primary and secondary PM<sub>2.5</sub>. Secondary PM<sub>2.5</sub> includes four precursors: NO<sub>x</sub>, SO<sub>x</sub>, NH3, and VOC. The detailed description of emission processing is in <a href="https://doi.org/10.1073/pnas.1818859116">Tessum et al. (2019</a>).</p> <p>Each shapefile in the dataset is in the format of input file of <a href="http://spatialmodel.com/inmap/">InMAP</a>/ISRM, which includes the emission amounts of five pollutants (Primary PM<sub>2.5</sub>, NO<sub>x</sub>, SO<sub>x</sub>, NH3, and VOC), stack information (height, diameter, temperature, and velocity), and SCCs. The unit of emissions is <span class="math-tex">\(\mu g/s\)</span>. (If these emissions are used directly with the ISRM, the resulting outputs will be concentrations, in units of <span class="math-tex">\(\mu g/m^3\)</span>.)</p>
The Protective Function of Directed Asymmetry in the Pericellular Matrix Enveloping Chondrocytes (Supporting Data)
<p>This dataset contains the images necessary to reproduce the study "The Protective Function of Directed Asymmetry in the Pericellular Matrix Enveloping Chondrocytes (DOI: 10.1007/s10439-021-02900-1)"</p>
Desenzano del Garda (BS) - Extended Matrix della Villa Romana
<p>Extended Matrix - Desenzano</p>
From nature reserve to mosaic management: improving matrix survival, not permeability, benefits regional populations under habitat loss and fragmentation
<p>Although matrix improvement in fragmented landscapes is a promising conservation measure, matrix permeability (willingness of an organism to enter the matrix) and movement survival in the matrix are usually aggregated. Consequently, it is unknown which matrix property needs to be improved. It also remains unclear whether matrix upgrading from dispersal passage to providing reproduction opportunities has large conservation benefits and whether there are interactive effects between habitat and matrix management.</p> <p>We examined matrix effects on regional populations across a gradient of habitat loss and fragmentation using simulation experiments that integrated demographic processes and movement modeling based on circuit theory. We separately modified the levels of matrix permeability and movement survival to evaluate their individual effects. We also altered the amount and configuration of not only habitat but also improved matrix to assess their effects on population vital rates (size, survival and density).</p> <p>In binary landscapes comprising habitat and unimproved matrix, matrix movement survival had larger effects on population vital rates than matrix permeability. Increasing movement survival increased vital rates, yet, increasing matrix permeability decreased vital rates. Increased permeability required corresponding increased movement survival to offset potential negative population outcomes.</p> <p>When subsets of the matrix functioning as dispersal passage only (where no reproduction opportunities existed) were improved, increasing matrix permeability but holding movement survival constant reduced all vital rates, especially with increasing habitat fragmentation. In contrast, when movement survival increased, vital rates increased given strong habitat fragmentation. The benefits of upgrading dispersal passage to provide reproduction opportunities for population survival were greatest when habitat amount was moderate. We also found synergetic effects between amounts of habitat and improved matrix, and the benefits of matrix improvement were promoted when improvement was achieved in a spatially aggregated manner.</p> <p><em>Synthesis and applications</em>: Matrix improvement and connectivity modeling aimed at increasing movement survival will likely bring larger conservation benefits than those for improving permeability alone. Buffering and connecting habitat remnants with improved matrix could provide benefits as long as movement survival is increased. Simultaneous implementation of habitat management and matrix improvement would yield synergistic conservation benefits.</p>
Theoretical and Experimental database for corannulene:water aggregates in a rare gas matrix. Structures and IR spectra.
<p>This database is linked to the article entitled "Water clusters in interaction with corannulene in a rare gas matrix: structures, stability and IR spectra" by Leboucher et al. submitted to "Photochem" on March 1st 2022.</p> <p>Theoretical results can be found in the following directories:<br> - Geoms which contains the DFTB/FF optimized structures reported in Figures 2 to 4 of the manuscript (the last column of the files must not be taken into account)<br> - IR_harm which contains the IR harmonic data for these structures (first column: wavenumbers in cm-1, second column: intensities in km/mol)<br> - Spect_10K which contains the dynamics spectra as reported in Figures 5 to 7</p> <p>Experimental results can be found in the directory Experimental, with spectra in two columns (first column: wavenumber in cm-1, second column: absorbance). Data have been corrected for atmospheric water vapor.</p> <p>In the directory Gas-phase are reported the results of gas-phase calculations at the DFT (M062X/d95v(dip) and DFTB levels performed for benchmark purpose.<br> - in DFT_opt are reported DFT optimized structures, similar to DFTB optimized structures<br> - in IR-spect, harmonic DFT and DFTB spectra<br> - the En_GP.pdf file reports energetic data for these systems.</p> <p> </p>
Aligned DNA sequence matrix for phylogenetic analyses in the article "Dos nuevas especies del grupo Pristimantis boulengeri (Anura: Strabomantidae) de la cuenca alta del río Napo, Ecuador" by Bejarano, et al.
<p>Matrix in nexus format that include sequences of 16S (1-1295), RAG1 (1296-1922), 12S (1923-3306), and COI (3307-3984) for 97 specimens belonging to the genus <em>Pristimantis</em>, in addition to specimens of <em>Strabomantis</em> and <em>Niceforonia</em> as outgroups.</p>
Images and data accompanying article: Remarkable response of hollow thermoplastic microspheres-elastomer matrix composites in uniaxial tension.
<p><strong>Images and data accompanying article:<br> Remarkable response of hollow thermoplastic microspheres-elastomer matrix composites in uniaxial tension.*</strong><br> <em>By Michel Coret, Erwan Verron & Pierre Rublon</em><br> <strong>(<a href="http://hal.archives-ouvertes.fr/hal-03480982">https://hal.archives-ouvertes.fr/hal-03480982</a>)</strong></p> <p><br> <strong>Abstract of the article</strong><br> In the last few years, the mechanical response of hollow thermoplastic micro-spheres-elastomer matrix composites has been investigated. The large majority of the studies focuses on their compressive properties and particularly on the stress-strain response. In the present paper, large strain uniaxial tension experiments are conducted on thermoplastic microspheres filled polyurethane elastomer. Six volume fractions of microspheres are considered. Thanks to a two-camera setup and digital image correlation measurements, the volumetric response of the materials is extensively analyzed. As a major result, the remarkable volumetric behaviour is highlighted: the hydrostatic pressure vs. volume change curves admit several extrema that may be read as the macroscopic signature of the complex microstructural phenomena involved during deformation. Moreover, it is shown that the size of the volumetric loading-unloading hysteresis loop is directly related to the volume fraction of microspheres in the materials.<br> Experimental test methodology is described within the article. The objective of the deposit is to share data.</p> <p><strong>Description of the deposit</strong><br> <strong>Objectives:</strong></p> <p>The objective of this deposit is to share all the data needed to retrieve the results presented in the article (<a href="http://hal.archives-ouvertes.fr/hal-03480982">https://hal.archives-ouvertes.fr/hal-03480982</a>). This deposit do not explain any experimental methodology, that can be found in the article.</p> <p><strong>Data overview:</strong></p> <ol> <li>The images taken during the tests (raw data)</li> <li>Force and displacement measured by the tensile machine (raw data).</li> <li>Surface strain field on face and lateral sides of the tensile specimen (obtain by Digital Image Correlation)</li> <li>Averaged and filtered</li> </ol> <p><strong>Data description:</strong><br> 1. Image directories:<strong> "YY/MM/DD_poro_xx_spec_nn"</strong></p> <ul> <li> YY/MM/DD: date of the test</li> <li> xx: specimen porosity (can be one of these values [0, 05, 10, 15, 20, 25] in %)</li> <li> nn: Specimen number</li> </ul> <p> In each directory you will find:</p> <ul> <li> YY/MM/DD_poro_xx_spec_nn-aaaaa_0.tif (face side *aaaaa* image)</li> <li> YY/MM/DD_poro_xx_spec_nn-bbbbb_1.tif (lateral side *bbbbb* image</li> <li> YY/MM/DD_poro_xx_spec_nn.csv (Synchronized analogic data with images) <ul> <li>Column A: Image n°</li> <li>Columns B & C: Image file name</li> <li>Columns D & E: Timestamp</li> <li>Columns F & G: Analog data (Volts)</li> <li>Column H: Position of the jack (millimeter)</li> <li>Column I: Measured force (N)</li> </ul> </li> </ul> <p>2. Scalar data directory: <strong>Data_csv/</strong></p> <ul> <li><strong>DIC</strong>: strain average results from digital image correlation on face side (axis xy) and lateral side (axis yz) <ul> <li>Column A: Image n°</li> <li>Column B, C, D (Hencky strains): exx, eyy & exy</li> <li>Column E, F (Hencky eigen strains): e1 & e2</li> </ul> </li> </ul> <p> </p> <ul> <li><strong>Machine</strong>: displacement and force from tensile machine for each image <ul> <li>Column A: Image n°</li> <li>Columns B & C: Image file name</li> <li>Columns D & E: Timestamp</li> <li>Columns F & G: Analog data (Volts)</li> <li>Column H: Position of the jack (millimeter)</li> <li>Column I: Measured force (N)</li> </ul> </li> </ul> <p> </p> <ul> <li><strong>Post</strong>: Average + smoothed data for each porosities <ul> <li>Column A: Longitudinal stretch <span class="math-tex">\(\lambda\)</span></li> <li>Column B: Nominal stress P</li> <li>Column C: Lateral stretch ratio <span class="math-tex">\(\lambda_w=\lambda_t\)</span><br> </li> </ul> </li> </ul>
Pore matrix dissolution in carbonates: An in-situ experimental investigation of carbonated water injection
<p>Carbonate rocks in underground formations are major targets for oil extraction and carbon storage. The solid part of these porous rocks contains certain minerals, such as calcite and dolomite, that can interact with aqueous solutions. Interactions could be reactive, which leads to the dissolution of these minerals. In this study, we investigated the evolution of carbonate rock dissolution during the flow of carbonated water in pores that initially contain both oil and brine. Carbonated water is an aqueous solution enriched with carbon dioxide (CO<sub>2</sub>); hence, it is acidic. In our experiments, we observed that the reactive flow and transport of carbonated water is characterized by two distinct periods. The first is a pre-dissolution period where the CO<sub>2</sub> molecules diffused from the flowing carbonated water into the oil causing it to swell. As separate oil globules swelled, they reconnected and moved in the direction of the flowing water toward the outlet of the rock sample. In the second stage, significant mineral dissolution occurred creating wormholes that had either a conical or a dominant pattern. The pattern and extent of dissolution was dependent on the flow rate of the carbonated water and its CO<sub>2</sub> concentration.</p>
Species matrix of Indonesian litter and soil Collembola with environmental factors
<p>Collembola are among the most abundant and diverse microarthropods that affect litter decomposition, control microbial functioning and support invertebrate predators. Rainforest conversion and expansion of plantations in tropical regions are associated with changes in microclimate and biodiversity decline, but information on the impact of tropical land use on Collembola communities and their seasonal fluctuations is very limited. Here, we investigated seasonal fluctuations in density and community composition of Collembola in rainforest, and in rubber and oil palm plantations in Jambi province (Sumatra, Indonesia), a region with moderate seasonality (wet and dry seasons) that experienced one of the strongest deforestations globally during the last decades. Samples were taken at the end of the wet season (March), the beginning of the dry season (June), the end of the dry season (August) and the beginning of the wet season (November). Collembola density in the litter was at a maximum at the beginning of the wet season, whereas in soil it generally varied little. Densities of euedaphic (soil-adapted) and epedaphic species (upper litter-adapted) fluctuated less with season than hemiedaphic (lower litter-adapted) and atmobiotic species (aboveground-adapted). Collembola community composition changed with season in each of the land-use systems, with the differences being more pronounced in litter than in soil. Differences in community composition among all three land-use systems were most pronounced at the beginning of the dry season. Water content, pH, fungal and bacterial biomarkers, C/N ratio and root biomass were identified as factors related to seasonal variations in species composition of Collembola in different systems. Our results show that Collembola density and community composition often fluctuate in a similar way across land-use systems, indicating that they are driven by common environmental factors, with water content, pH and food availability being of prominent importance. Notably, differences in Collembola community composition between rainforest and plantation systems were most pronounced in the dry season (June, August), indicating that the conversion of rainforest into plantation systems aggravates detrimental effects of low moisture on soil animal communities. Fluctuations in Collembola communities were generally stronger in litter than in soil, reflecting that Collembola in litter are less buffered against climatic variations than those in soil. Overall, the results document the sensitivity of tropical soil animal communities to seasonal climatic variations, which <span>intensifies</span> the effects of the conversion of rainforest into plantation systems on soil biodiversity.</p>
Amazonian epiphytic bryophytes: community matrix and tools to assess diversity across scales
<p><strong><em>Aim: </em></strong>Tropical forests are highly diverse at many spatial scales. In these forests, epiphytic bryophyte communities can be species-rich already within a few cm<sup>2</sup>, and their species numbers increase when expanding the sampling along the tree and the forest. Understanding how this diversity increase depends on scale and position within the tree is critical to evaluate the processes that maintain biodiversity. We, therefore, studied vertical zonation and alpha and beta diversity of epiphytic bryophytes across spatial scales ranging from 100-cm<sup>2</sup> quadrats to 24 trees up to 10 km apart.</p> <p><strong><em>Location:</em></strong> Tropical lowland forest in Yasuní National Park (Amazonian Ecuador).</p> <p><strong><em>Methods:</em></strong> We sampled epiphytic bryophytes in 100-cm<sup>2</sup> quadrats on 24 trees (15-22 sampling quadrats per tree), using a spatially hierarchical design. We applied ordination, indicator species analysis, linear mixed models, and beta partitioning to study alpha and beta diversity at different spatial grains and extents.</p> <p><strong><em>Results:</em></strong> At the scale of quadrats, tree crowns held more bryophyte species than trunks. Contrastingly, all crown quadrats together held fewer species than all trunk quadrats together (77 vs. 93 species), as species turnover among trunk quadrats exceeded that among crown quadrats. Across spatial extents, species turnover consistently dominated beta diversity over nestedness. Beta diversity was higher between crowns and trunks within trees than among crowns of different trees at all studied scales, while beta diversity among trunks exceeded vertical diversity when considering all 24 trees.</p> <p><strong><em>Main conclusions:</em></strong> These bryophyte communities experience two distinct vertical zones, trunks and crowns, which differ more among them than trees up to 10 km apart. Still, high species turnover makes their species composition highly unpredictable, especially on trunks. Chance processes appear to play an important role in shaping these communities, although analyses at even finer spatial grains may identify the importance of fine-scale habitat filters and species interactions.</p>
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