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12,393 results for “Materiality”
Building part specific material inventory dataset for residential buildings in Finland
<p>This dataset contains material volumes (m<sup>3</sup>), material masses (kg), and material intensities (kg/m<sup>2</sup>) for representative buildings from 51 residential building cohorts in Finland. These data are presented per material and in total, aggregated on three hierarchical levels on the correspondingly named sheets in the OpenDocument Spreadsheet (ODS) file: the entire building (<em>data_building</em>), distinguished between vertical building levels (<em>data_building_level</em>), and distinguished between building parts (<em>data_building part</em>). Further details on the data are provided on the <em>description</em> sheet in the same file.</p> <p>The cohorts are based on building type, main bearing material, main façade material, and construction decade. Each cohort is represented by one inventoried building, covering the combinations in the tables below. All buildings are located in the city of Vantaa, Finland, with the exception of the 1940s and 1950s houses, which are based on type-planned houses and thus have no specific location.</p> <p><strong>One dwelling house cohorts included in the dataset</strong></p> <table> <tbody> <tr> <th>Bearing material, Facade material</th> <th>1940s</th> <th>1950s</th> <th>1960s</th> <th>1970s</th> <th>1980s</th> <th>1990s</th> <th>2000s</th> <th>2010s</th> </tr> <tr> <td>Wood, Wood</td> <td>D</td> <td>D</td> <td>D</td> <td>T</td> <td>D</td> <td>D</td> <td>D</td> <td>D</td> </tr> <tr> <td>Wood, Brick</td> <td> </td> <td>T</td> <td>T</td> <td>D</td> <td>T</td> <td>T</td> <td>T</td> <td>T</td> </tr> <tr> <td>Brick, Brick</td> <td> </td> <td> </td> <td>D</td> <td>D</td> <td>D*</td> <td>D</td> <td>D</td> <td>D</td> </tr> <tr> <td>Concrete, Concrete</td> <td> </td> <td> </td> <td>D</td> <td>T</td> <td>D</td> <td>D</td> <td>D</td> <td>D</td> </tr> <tr> <td>Concrete, Brick</td> <td> </td> <td> </td> <td>T</td> <td>D</td> <td>T</td> <td>T</td> <td>T</td> <td>T</td> </tr> <tr> <td>Concrete, Wood</td> <td> </td> <td> </td> <td>T</td> <td>T</td> <td>T</td> <td>T</td> <td>T</td> <td>T</td> </tr> </tbody> </table> <p><strong>Block of flats cohorts included in the dataset</strong></p> <table> <tbody> <tr> <th>Bearing material, Facade material</th> <th>1940s</th> <th>1950s</th> <th>1960s</th> <th>1970s</th> <th>1980s</th> <th>1990s</th> <th>2000s</th> <th>2010s</th> </tr> </tbody> <tbody> <tr> <td>Concrete, Concrete</td> <td> </td> <td> </td> <td>D</td> <td>D</td> <td>D</td> <td>D</td> <td>D</td> <td>D</td> </tr> <tr> <td>Concrete, Brick</td> <td> </td> <td> </td> <td>T</td> <td>T</td> <td>T</td> <td>T</td> <td>T</td> <td>T</td> </tr> </tbody> </table> <p><em>D = Direct record based on construction documents.<br>T = Theoretical variant with alternative façade material based on typical contemporary construction practice. All properties except the cladding and any related materials (e.g. battens) are identical with the corresponding direct record (the record for the same decade with the directly recorded bearing material).<br>* Geometry determined based on construction documents from 1979 due to lack of suitably sized cases dated in the 1980s. Insulation thicknesses adjusted to match the represented decade’s building code.</em></p> <p>The data are primarily based on digitized construction documents obtained from the Vantaa building inspection authority’s archives through the purchase portal <em>Lupapiste Kauppa</em> (<a href="https://kauppa.lupapiste.fi/">https://kauppa.lupapiste.fi/</a>). The 1940s and 1950s type-planned houses’ drawings are from the National Archives of Finland (<a href="https://astia.narc.fi/">https://astia.narc.fi/</a>).</p> <p>Version notes since 1.0.0: <br>1.0.2: Added wood facade variants to all one dwelling houses which have concrete as the bearing material.<br>1.0.1: Changes to the terminology and some minor spelling corrections. The building data remain identical, as do their locations on the sheets.</p>
Supplementary material to the study: "Understanding the interactions between biowaste valorization and selected Sustainable Development Goals: insights from an early transition stage"
<p>This file includes supplementary material for the journal article: "Understanding the interactions between biowaste valorization and selected Sustainable Development Goals: insights from a national context at an early transition stage". The PDF file contains the interview guide, while the .xlsx file contains all other supplementary material. </p>
Supplementary material for "Stellar flares" (Living Reviews in Solar Physics)
<p>The file supplementary.tar.gz contains a Jupyter notebook (Figs.ipynb) and supplementary material for recreating Figures 13, 35, 38, and 40 in Kowalski, A.F. (2024), "Stellar flares", <em>Living Reviews in Solar Physics</em> 24, 1 (<a href="10.1007/s41116-024-00039-4">https://doi.org/10.1007/s41116-024-00039-4</a>).</p>
Improving reconstructions in nanotomography for homogeneous materials via mathematical optimization
<p>This is the raw data for the manuscript:</p><p>Improving reconstructions in nanotomography for homogeneous materials via mathematical optimization.</p><p>A readme file containing all descriptions can be found in the main folder. All data are sorted in a separate subfolder each according to the three different types of datasets used in the main manuscript. Further, the Python scripts used for tomographic reconstruction are to be found in the zip file.</p><p>Abstract:</p><p>Compressed sensing is an image reconstruction technique to achieve high-quality results from limited amount of data. In order to achieve this, it utilizes prior knowledge about the samples that shall be reconstructed. Focusing on image reconstruction in nanotomography, this work proposes enhancements by including additional problem-specific knowledge. In more detail, we propose further classes of algebraic inequalities that are added to the compressed sensing model. The first consists in a valid<br>upper bound on the pixel brightness. It only exploits general information about the projections and is thus applicable to a broad range of reconstruction problems. The second class is applicable whenever the sample material is of roughly homogeneous composition. The model favors a constant density and penalizes deviations from it. The resulting mathematical optimization models are algorithmically tractable and can be solved to global optimality by state-of-the-art available implementations of interior point methods. In order to evaluate the novel models, obtained results are compared to existing image reconstruction methods, tested on simulated and experimental data sets. The experimental data comprise one 360° electron tomography tilt series of a macroporous zeolite particle and one absorption contrast nano X-ray computed tomography (nano-CT) data set of a copper microlattice structure. The enriched models are optimized quickly and show improved reconstruction quality, outperforming the existing models. Promisingly, our approach yields superior reconstruction results, particularly when information about the samples is available for a small number of tilt angles only.</p>
Supporting information for "Automated ChIPmentation procedure on limited biological material of the human blood fluke Schistosoma mansoni"
<ul> <li>Files “CG_Ro_1_High Sensitivity DNA Assay_DE13805677_2019-06-20_09-10-48.pdf” and “CG_Ro_2_High Sensitivity DNA Assay_DE13805677_2019-06-20_10-12-12.pdf” uncropped files used in figure 2</li> <li>File “gel qpcr test input sds_01.tif” : uncropped file used in figure 8.</li> <li>File "20200612-1_Report.pdf" : qPCR report for inputs 1µL and available chromatine ("Row7"), figure 6 </li> <li>File "20200919-1_Report.pdf" : qPCR report for for testing SDS after Tn5, figure 7B and figure 8</li> <li>File "20200921-1_Report.pdf" : qPCR report for for comparing inputs with enzyme of Diagenode kit and our protocol with other enzyme Tn5 </li> <li>File "wilcoxon_curves.tgz" contains compressed versions of R-script "wilcoxon_curves.Rmd" that was used to compared metagene profiles and generate "wilcoxon_curves.html" and underlying ressources that are also in this compressed archive</li> </ul> <p>Produced at IHPE (http://ihpe.univ-perp.fr)</p>
MatSciML: A Broad, Multi-Task Benchmark for Solid-State Materials Modeling
<p>We propose MatSci ML, a novel benchmark for modeling MATerials SCIence using Machine Learning methods focused on solid-state materials with periodic crystal structures. Applying machine learning methods to solid-state materials is a nascent field with substantial fragmentation largely driven by the great variety of datasets used to develop machine learning models. This fragmentation makes comparing the performance and generalizability of different methods difficult, thereby hindering overall research progress in the field. Building on top of open-source datasets, including large-scale datasets like the OpenCatalyst Project, OQMD, NOMAD, the Carolina Materials Database, and Materials Project, the MatSci ML benchmark provides a diverse set of materials systems and properties data for model training and evaluation, including simulated energies, atomic forces, material bandgaps, as well as classification data for crystal symmetries via space groups. The diversity of properties in MatSci ML makes the implementation and evaluation of multi-task learning algorithms for solid-state materials possible, while the diversity of datasets facilitates the development of new, more generalized algorithms and methods across multiple datasets. In the multi-dataset learning setting, MatSci ML enables researchers to combine observations from multiple datasets to perform joint prediction of common properties, such as energy and forces. Using MatSci ML, we evaluate the performance of different graph neural networks and equivariant point cloud networks on several benchmark tasks spanning single task, multitask, and multi-data learning scenarios. Our open-source code is available at https://github.com/IntelLabs/matsciml.</p>
Supplementary materials of the article "First report of plastic biomedia contamination in Brazilian beaches – evidence from the Paraná coast"
<p>Supplementary materials of the article "First report of plastic biomedia contamination in Brazilian beaches – evidence from the Paraná coast", published in Ocean and Coastal Research.</p>
The results of thermodynamic calculations for alloys presented in a paper published in Journal of Materials Research and Technology, 2023, 27, pp. 6182–6191
<p>Thermophysical data for the alloys developed within the project. The results have been published in ournal of Materials Research and Technology, 2023, 27, pp. 6182–6191.</p>
List of material examined from the Ipomoea survey in the state of Paraíba
<p>Este arquivo contém a relação de materiais examinados para o estudo do levantamento de <em>Ipomoea</em> L. no estado da Paraíba, considerando que apenas o material selecionado foi citado no corpo do manuscrito, pois a lista é bastante extensa.</p>
Supplementary Material - WER_2024
<p>Supplementary Material - WER_2024 paper "O que o mercado de trabalho espera dos profissionais que ingressam na área de Engenharia de Requisitos?"</p>
Measuring frontier orbital energy levels of OLED materials using cyclic voltammetry in solution - accompanying data
<p>This dataset contains the data and the Matlab scripts to create the main figures in the published manuscript.</p>
A cultura material do campo religioso
<p>O que são as relíquias e porquê estudá-las? Este é o ponto de partida da entrevista com António Camões Gouveia sobre as múltiplas interpretações e camadas de significado de uma relíquia, a importância da memória individual e colectiva, a existência de relíquias independentemente da «santidade» do seu dono, a possibilidade de criar um relicário individual e a distinção entre a devoção institucional e a devoção popular, numa conversa em que se recorre a exemplos associados a Santo António, Santo Inácio de Loiola, Santa Rita de Cássia, Sousa Martins, Madre Luiza Andaluz e Padre Cruz.</p> <p>António Camões Gouveia é Professor na NOVA FCSH e investigador integrado do CHAM. Entre 1991 e 1997 colaborou com a Comissão Nacional para a Comemoração dos Descobrimentos Portugueses. Foi coordenador científico da Fundação Robinson entre 2004 e 2013 e Director do Museu de Évora entre 2010 e 2012. O seu trabalho centra-se nas mentalidades, ideias e práticas sociais modernas, em particular a história da nobreza, dos saberes, da vida religiosa e do quotidiano. Em confluência teórico-prática junta-lhes a programação de cultura, nas dimensões do património, da museologia e da mediação</p> <p>A entrevista é conduzida por Beatriz Freitas.</p>
Supplementary material to 'Exotic Symmetry Breaking Properties of Self-Dual Fracton Spin Models'
<p>I. GENERAL INFORMATION</p> <p>1. Title<br>Dataset of "Degeneracy and Scaling Properties of Self-Dual Fracton Spin Models"</p> <p>2. Author Information<br> <br>Giovanni Canossa [1,2], Lode Pollet [1,2], Miguel A. Martin-Delgado [3,4], Hao Song [5], and Ke Liu [1,2,6,7]<br>1. Arnold Sommerfeld Center for Theoretical Physics, University of Munich</p> <p>2. Munich Center for Quantum Science and Technology (MCQST)</p> <p>3. Departamento de Física Teórica, Universidad Complutense, 28040 Madrid, Spain</p> <p>4. CCS-Center for Computational Simulation, Universidad Politécnica de Madrid, Spain</p> <p>5. CAS Key Laboratory of Theoretical Physics, Institute of Theoretical Physics, Chinese Academy of Sciences, China</p> <p>6. Hefei National Research Center for Physical Sciences at the Microscale, University of technology of China</p> <p>7. Shanghai Research Center for Quantum Science and CAS Center for Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China</p> <p>Links to publications that cite or use the data:<br>TBA</p> <p>II. Files</p> <p>1. Convention</p> <p>Datas from the multicanonical MC simulations are stored in "Tetra-Ising" and "Fractal-Ising" folders.</p> <p>Lattice size: Each subfolder is named "L=value" where value denotes the linear system size.</p> <p>Multicanonical weights: Files "g_init_T=value.data" contains the set of log(weights) at a given temperature and lattice size, derived from the iterative weight-learning procedure.</p> <p>Datas: HDF5 files "name.out.h5" contain the results of the multicanonical MC simulation at a given lattice size.</p> <p><br>III. Data in HDF5 file</p> <p>1. Convention</p> <p>The results obtained at each temperature point is stored in a separate subdirectory of the .out.h5 file. Each of these subdirectories contains:</p> <p>Energy_Hist: normalized energy histograms obtained from the multicanonical MC simulation (unweighted)</p> <p>Energy_Hist_rw: normalized reweighted energy histograms. For each bin, Energy_Hist_rw[i] = Energy_Hist[i] * e**g[i] / norm, where norm = sum( Energy_Hist[i] * e**g[i] ).</p> <p>c: 1/norm. Gives an estimate of the ratio Z_muca/Z_ca.</p> <p>g: vector containing the weights used for the multicanonical MC simulation at that specific temperature. These are derived from reweighting the weights in "g_init_T=value.data" file.</p> <p>Energy, Energy_Susc, Energy_Kurt Q_x, Q_x_Susc, Q_x_Kurt: canonical expectation value of each relevant observables, along with their susceptibilities and Kurtosis, obtained by reweighting each measurement taken during the simulation by the appropriate weight. (NB: Energy and Q_x need to be multiplied by C in order to give the correct canonical expectation value.)</p> <p><br>2. Relevance</p> <p>These data reproduce Figs. 5 & 6 in the manuscript.</p> <p><br>III. Finite size scaling</p> <p>1. Convention</p> <p>All estimated transition temperatures with their respective uncertainties are stored in "fitting_Tetra" and "fitting_Fractal" folders in the fittemps.txt file.</p> <p>2. Relevance</p> <p>These data reproduce Figs. 3 & 4 in the manuscript.<br> </p> <p> </p>
Supporting material for: Geostratigraphic mapping of the intrusive Valentine Domes on the Moon
<p>This dataset is the supporting information for the article called: Geostratigraphic mapping of the intrusive Valentine Domes on the Moon. It contains a QGIS project, the vector data, and the rastar data used to create the geostratigraphic maps of the zone.</p>
Multi-objective optimization of a renewable fuel supply chain regarding cost, land use, and water use - Supplementary Materials
<p><strong>This repository contains supporting data for: "Multi-objective optimization of a renewable fuel supply chain regarding cost, land use, and water use"</strong></p> <ol> <li> <p><strong>Input Data</strong>: This file includes the model input data.</p> </li> <li> <p><strong>Payoff Matrix Solution</strong>: This file contains all decision variables of payoff matrix solutions (Cost optimal, Land-use optimal, and Water-use optimal solution).</p> </li> <li><strong>Compromise solution</strong>: This file contains all decision variables of the compromise solution.</li> <li> <p><strong>Pareto Curve</strong>: This file presents the Pareto curve solution. </p> </li> <li><strong>Pareto Curve Solution</strong>: This file contains all decision variables in each of the Pareto curve solutions. </li> </ol>
Supplementary material from: Optimizing the Conversion of Bio-Oil from Haematococcus pluvialis to Fatty Acid Methyl Esters
<p>Data obtained in the thermal characterization of bio-oil and biodiesel derived from Haematococcus pluvialis microalgae. This document contains the data used to generate the plots shown in Figure 3 of the paper.</p> <p>Content:</p> <ul> <li>Bio-oil FTIR results</li> <li>Biodiesel FTIR results</li> <li>Bio-oil TGA results</li> <li>Biodiesel TGA results</li> <li>Bio-oil DSC (pour point) results</li> <li>Biodiesel DSC (pour point) results</li> <li>Biodiesel DSC (heat of combustion) results</li> </ul>
Supplementary material to "Healthcare resource use associated with tumor-induced osteomalacia: a literature review"
<p>Tumor-induced osteomalacia (TIO) is an ultra-rare, paraneoplastic syndrome caused by tumors that secrete fibroblast growth factor 23 (FGF23). Initial signs and musculoskeletal symptoms can be non-specific and unrecognized, leading to long delays in diagnosis and treatment, which results in severe and progressive disability in patients with TIO. This review aimed to identify published evidence on healthcare resource use in TIO to better understand the burden of the disease. A targeted literature review was conducted to identify publications reporting on disease characteristics and healthcare resource use associated with TIO. In total, 414 publications were included in the review, of which 376 were case reports. From the case reports, data on 621 patients were extracted. These patients had a mean (standard deviation) age of 46.3 (15.8) years; 57.6% were male. The mean time from first symptoms to diagnosis of TIO was 4.6 (4.7) years and, in cases where imaging tests were reported, patients underwent a mean of 4.1 (2.7) procedures. Tumor resection was attempted in 81.0% of patients and successful in 67.0%. The fracture was reported in 49.3% of patients. Results from association analyses demonstrated that a longer time to diagnosis was associated with poorer tumor resection outcomes and a higher probability of tumor recurrence. Unfavorable tumor resection outcomes were associated with greater use of pharmacologic treatment and a greater likelihood of orthopedic surgery. TIO is associated with a substantial healthcare resource burden. Improvements in the diagnostic process could lead to better management of TIO, thereby benefiting patients and reducing that burden.</p>
Supplementary material for "A Constrained Spectral Approximation of Subgrid-Scale Orography on Unstructured Grids"
<p>Supplementary material for:</p> <ul> <li>Chew, R.; Dolaptchiev, S.; Wedel, M.-S.; Achatz, U. <br>A Constrained Spectral Approximation of Subgrid-Scale Orography on Unstructured Grids</li> </ul> <p>The <em>results_datasets.tar.gz</em> archive contains the simulation datasets for the results presented in Fig. 4-9, 11-16, and B1.</p> <p>The <em>Fig_10-wind_direction_study.tar.gz</em> archive contains the simulation datasets for the results presented in Fig. 10.</p> <p>Input parameters necessary to reproduce these simulation runs are included as metadata (attributes) to the datasets. Otherwise, the input parameter scripts can be found in the <code>inputs</code> subpackage of the source code.</p> <p>Furthermore, the following results can be generated by the corresponding scripts:</p> <table> <tbody> <tr> <td><strong>Figures</strong></td> <td><strong>Scripts</strong></td> </tr> <tr> <td>Fig. 1-3</td> <td><code>runs.idealised_isosceles</code></td> </tr> <tr> <td>Fig. D1</td> <td><code>runs.taper_test</code></td> </tr> <tr> <td>Fig. E1</td> <td><code>runs.idealised_delaunay</code></td> </tr> </tbody> </table> <p> </p> <p>Refer to the software repository URL for details on downloading the source code.</p> <p> </p>
Prospects for Quantum Software Engineering in the Next Decade - Supplementary material
<p>This supplementary material corresponds to the study "<em>Prospects for Quantum Software Engineering in the Next Decade</em>" for the Software Engineering in 2030 Workshop (SE2030).</p> <p>In this supplementary material you will find the papers found in the search for the terms "<em>Quantum Software Engineering</em>" in the bibliographic databases of Scopus and Google Scholar, as well as their evolution since 2004.</p>
Fig. 3 in Materials On Fauna Of Oedemeridae (Hexapoda: Coleoptera) In Latvia. 2. Oedemera Flavipes (Fabricius, 1792), Oedemera Virescens (Linnaeus, 1767) & Oedemera Femorata (Scopoli, 1763)
Fig. 3. Map of distribution Oedemera femorata (Scop.) in Latvia.
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