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3,206 results for “property (T)”
Megakaryocyte volume modulates bone marrow niche properties and cell migration dynamics
<p>Supplementary videos showing raw time and z-stacks as well a final, processed result for Neutrophil tracking in naive and platelet depleted mouse.</p> <p>Matlab scripts to run simulation of megakaryocytes, neutrophils and hematopoetic stem cell in a vessel environment.</p> <p>Ilastik training data set used in segmentation of bone and bone marrow.</p> <p> </p>
Dataset: Modeling the Dielectric Properties of Minerals from Crystals to Bulk Powders for Improved Interpretation of Asteroid Radar Observations
<p>Data (measurements of scattering parameters of samples) presented in: Hickson ,D.C., Boivin, A.L., Tsai, C.A., Daly, M.G. and Ghent, R.R. (2020) Modeling the Dielectric Properties of Minerals from Crystals to Bulk Powders for Improved Interpretation of Asteroid Radar Observations. <em>Journal of Geophysical Research: Planets, 125, </em>e2019JE006141. https://doi.org/10.1029/2019JE006141</p>
Systematic screening of DMOF-1 with NH2, NO2, Br and azobenzene functionalities for elucidation of carbon dioxide and nitrogen separation properties
<p><strong>Publication:</strong> M. Xie. N. Prasetya and B. P. Ladewig, Systematic screening of DMOF-1 with NH2, NO2, Br and azobenzene functionalities for elucidation of carbon dioxide and nitrogen separation properties, Inorganic Chemistry Communications (2019).</p> <p><strong>Preprint:</strong> M. Xie. N. Prasetya and B. P. Ladewig, Systematic screening of DMOF-1 with NH2, NO2, Br and azobenzene functionalities for elucidation of carbon dioxide and nitrogen separation properties, Inorganic Chemistry Communications (2019), <a href="https://doi.org/10.26434/chemrxiv.8862239.v1">https://doi.org/10.26434/chemrxiv.8862239.v1</a></p> <p>Dataset supporting publication, including SEM images, optical microscope images, NMR spectra, data used in Figures, and full resolution figures as included in the manuscript.</p> <p><strong>Abstract:</strong> In this study, dabco MOF-1 (DMOF-1) with four different functional groups (NH<sub>2</sub>, NO<sub>2</sub>, Br and azobenzene) has been successfully synthesized through systematic control of the synthesis condition of their parent framework. The functionalised DMOF-1 is characterized using various analytical techniques including PXRD, TGA and N<sub>2</sub> sorption. The effect of the various functional groups on the performance of the MOFs for post-combustion CO<sub>2</sub> capture is evaluated. DMOF-1s with polar functional groups are found to have better affinity with CO<sub>2</sub> compared with the parent framework as indicated by higher CO<sub>2</sub> heat of adsorption. However, imparting steric hindrance to the framework as in Azo-DMOF-1 enhances CO<sub>2</sub>/N<sub>2</sub> selectivity, potentially as a result of lower N2 affinity for the framework. </p>
DataSET for: Control of spintronic and electronic properties of bimetallic and vacancy-ordered vanadium carbide MXenes via surface functionalization
<p>This data set contains the minimal file necessary to reproduce the DFT calculations contained in the publication:<br> Control of spintronic and electronic properties of bimetallic and vacancy-ordered vanadium carbide MXenes via surface functionalization.</p> <p>the dataset is available on GitLab: <a href="https://gitlab.com/praguelab/shuo2019_work1">https://gitlab.com/praguelab/shuo2019_work1</a> (Project ID: 13583566) Final Latest tag at moment of submission: <a href="https://gitlab.com/praguelab/shuo2019_work1/-/tags/Accepted_manuscript">https://gitlab.com/praguelab/shuo2019_work1/-/tags/Accepted_manuscript</a></p> <p>The paper has been received for review on 16th October 2019, and accepted for publication 11th November 2019 in Journal of Physical Chemistry Chemical Physics</p> <p>DOI: 10.1039/c9cp05638f</p> <p>Preprint available on arXiv <a href="https://arxiv.org/abs/1910.01509">https://arxiv.org/abs/1910.01509</a></p> <p>The work has been financed by Grantova´ Agentura, Univerzita Karlova (Grantova´ Agentura, Univerzita Karlova), OP VVV ‘‘Excellent Research Teams’’, project CUCAM, and International Mobility of Researchers at Charles University (CZ.02.2.69/0.0/0.0/16_027/0008495)</p>
Fig. 1. A. A in Comparison of exposure ages and spectral properties of rock surfaces in steep, high alpine rock walls of Aiguille du Midi, France
Fig. 1. A. A slab from Maysville, KY (CMC IP50706) with a drilled specimen of the stylophoran mitrate Enoploura popei Caster, 1952. The hole indicated by an arrow. B. Close up of the drilled specimen. C. Detail of the borehole.
Fig. 2 in Comparison of exposure ages and spectral properties of rock surfaces in steep, high alpine rock walls of Aiguille du Midi, France
Fig. 2. Horizontal boring on the slab from Maysville, KY (CMC IP50706). A. Overlapping burrows in the shell of the brachiopod Rafinesquina. B. Burrows in a bryozoan. Scale bars 10 mm.
Composition and thermophysical properties of metallurgical plasmas - LTE calculations
<div> <p>This dataset contains two subsets:</p> <p>First - elemental compositions of the equilibrium gas phase over a variety of metallurgical processes conducted in direct-current plasma arc furnaces at a range of slag temperatures between the typical process temperature and the vaporisation temperature (defined as the lowest temperature at which only a gas phase exists). These were obtained from process simulations using thermochemical calculation software.</p> <p>Second - plasma composition and thermophysical properties at a range of plasma temperatures between 2000 K and 30000K under local thermodynamic equilibrium conditions, as calculated using minplascalc software (https://github.com/quinnreynolds/minplascalc, commit 967faf3). All calculations are at atmospheric pressure, and use the elemental gas phase compositions for each slag temperature to define the mass conservation constraints.</p> </div> <h2></h2>
Research data supporting "Mechanical properties of semi-regular lattices"
<p>Research data supporting "Mechanical properties of semi-regular lattices" published in Materials & Design in 2022. This dataset includes:</p> <ul> <li>Processed data plotted in Figure 11 (Fig11.xlsx).</li> <li>Processed data plotted in Figure 19 (Fig19.xlsx).</li> <li>Finite element models used to compute the elastic and shear moduli of each semi-regular lattice. These can be opened with the commercial software Abaqus CAE version 2023 (periodic_boundary_model.cae).</li> </ul>
Datasets, trained models and supporting results for machine learning tensorial properties of atomic systems via XPaiNN model.
Open the record for dataset details and reuse information.
Enzymes, PLFA, NLFA and soil properties measured in Juniperus thurifera forest expansion gradient
<table> <tbody> <tr> <td>Columns<span> </span></td> <td>Description</td> <td>Unit</td> <td>Comments</td> </tr> <tr> <td>Site</td> <td>Huertahernando, Ribarredonda, Maranchón</td> <td> </td> <td>3 levels</td> </tr> <tr> <td>Stage</td> <td>Stage of forest expansion gradient (Mature forest, transition zone and expanding front)</td> <td> </td> <td>3 levels</td> </tr> <tr> <td>Microhabitat</td> <td>Under canopy/Open areas</td> <td> </td> <td>2 levels</td> </tr> <tr> <td>Sample code</td> <td>Sample code corresponding to sampling point</td> <td> </td> <td> </td> </tr> <tr> <td>Plot</td> <td>18 plots</td> <td> </td> <td> </td> </tr> <tr> <td>From F to AG<span> </span></td> <td>PLFAs peaks</td> <td>nmol g-1 soil</td> <td> </td> </tr> <tr> <td>Column AF</td> <td>NLFA peak</td> <td>nmol g-1 soil</td> <td> </td> </tr> <tr> <td>OM<span> </span></td> <td>organic matter</td> <td>%</td> <td> </td> </tr> <tr> <td>pH</td> <td>pH</td> <td> </td> <td> </td> </tr> <tr> <td>From AK to AQ</td> <td>Enzimes</td> <td>pmol mg-1 min-1</td> <td> </td> </tr> </tbody> </table>
Variations in microscopic properties of biomass char: Implications for biochar characterization
<p><strong>Submitted data was used to write an article:</strong> <span>Mastalerz, M., Drobniak, A., Briggs, D., Bradburn, J., 2023, Variations in microscopic properties of biomass char: Implications for biochar characterization. International Journal of Coal Geology 271, 104235. https://doi.org/10.1016/j.coal.2023.104235</span></p> <p> </p> <p><strong>Funding acknowledgments:</strong> The project is co-financed by the Polish National Agency for Academic Exchange within the Polish Returns Programme (BPN/PPO/2021/1/00005/DEC/1), the National Science Center, Poland (2022/01/1/ST10/00024), and the research activities co-financed by the funds granted under the Research Excellence Initiative of the University of Silesia in Katowice, Poland. </p> <p> </p> <p><strong>Article Abstract</strong>: Biochar, a carbon-rich material produced during the thermochemical conversion of biomass, is considered to be an important material for environmental applications and sustainable agriculture. With interest in its use growing, it is essential to understand how pyrolysis parameters control biochar properties and, subsequently, which analytical methods can be applied effectively in characterizing biochar. While various methods are already in use, the potential of reflected light microscopy analysis has not yet been widely explored. This paper focuses on examining the microscopic properties of various biochars by implementing reflected light microscopy and assessing whether this technique has the potential to deliver quick, reliable, and essential information for biochar characterization. To support microscopic observations, selected physical (density and surface area) and chemical parameters (carbon and sulfur content, functional group distribution) of biochar samples were also determined. Megascopically and microscopically there is a considerable difference among biochars of different feeds including their size and shape, porosity, ratio of the abundance of cellular to non-cellular pores, inorganic matter content, the ratio of thick-walled to thin-walled inertinite, or the ratio between high-reflectance inertinite to low reflectance inertinite and their reactivity. The biochars studied also showed variations in the oxygenated groups contribution, a wide range of carbon content (14.7 to 98.8%), density (1.45 to 2.47 g/cm3), and surface areas (from <1 to 363.6 m2/g). Our results demonstrate that microscopic characteristics and reflectance of biochar can provide crucial diagnostic value for predicting biochar properties and, in combination with other physical and chemical properties, help to enhance information about the biomass conversion process and potential practical use of biochar.</p>
Grafting-from" and "grafting-to" PNIPAM functionalization of glass for DNA-biosensors with improved properties
<p>Raw data and metadata for the study “Grafting-from” and “grafting-to” PNIPAM functionalization of glass for DNA-biosensors with improved properties"</p> <ul> <li>Copy of labbooks for synthesis and surface functionalization protocols</li> <li>Molecular characterization: RMN, MS, GPC, LCST</li> <li>Surface characterization : water contact angle, surface quantification, XPS, antifouling properties</li> </ul>
Effect of Organic Cation Size on Structural, Thermochromic, Dielectric and Photoluminescence Properties of Two-Dimensional Lead Iodide Perovskites with Extremally Reduced Dielectric Confinement
<p>Dataset for scientific publication entitled Effect of Organic Cation Size on Structural, Thermochromic, Dielectric and Photoluminescence Properties of Two-Dimensional Lead Iodide Perovskites with Extremally Reduced Dielectric Confinement. </p> <p>This research was supported by the National Science Center (Narodowe Centrum Nauki) in Poland under project No. 2020/38/A/ST3/00214. JKZ acknowledges support from Academia Iuvenum, Wroclaw University of Science and Technology.</p>
Development and Comparison of Model-Based and Data-Driven Approaches for the Prediction of the Mechanical Properties of Lattice Structures
<p>This dataset comes from the following paper:</p> <p>Chiara Pasini, Oscar Ramponi, Stefano Pandini, Luciana Sartore, Giulia Scalet, Development and Comparison of Model-Based and Data-Driven Approaches for the Prediction of the Mechanical Properties of Lattice Structures, J. of Materi Eng and Perform, 2024. <a href="https://doi.org/10.1007/s11665-024-10199-x">https://doi.org/10.1007/s11665-024-10199-x</a></p> <p>It contains:</p> <ul> <li>"Notes.pdf" describing all the files uploaded</li> <li>. m of the neural network</li> <li>. inp of the Abaqus finite element simulations</li> </ul>
THE ROLE OF PROPERTY MANAGEMENT IN PROMOTING ENERGY-EFFICIENT SOLUTIONS FOR RENTALS
<p>Real estate management plays a key role in promoting energy efficient solutions when renting out properties. The purpose of the study is to analyze the impact of management companies on the introduction of energy-efficient technologies to increase the competitiveness of facilities and reduce operating costs. The methodology is based on the analysis of data on the application of modern energy-efficient solutions, including lighting, heating and automation systems in buildings in the Czech Republic. The results showed that the use of such technologies helps to reduce utility costs by 20-40% and increases the attractiveness of facilities for tenants. In conclusion, property management aimed at energy efficiency ensures the achievement of sustainable development and economic benefits for owners and tenants. These measures increase the market value of the properties and extend the lease terms, which strengthens the position in the real estate rental market.</p>
AMT29 optical underway properties and estimates of chlorophyll-a concentration
<p>Dataset of inherent optical properties determined as described in https://doi.org/10.5194/essd-2024-267 and https://doi.org/10.1364/OE.25.0A1079</p>
Results of inter-laboratory testing on COSC-1 cores and reference samples (density, porosity, thermal properties)
<p>The data files contain the results of comparative measurements of thermal properties of four widely used rock references and nine core samples originating from the ICDP COSC-1 borehole, using a steady-state and a transient divided-bar device, a transient plane source device, a modified Angstrom device, as well as two optical thermal conductivity scanners. In addition, the Dewar method provided benchmark values for specific heat capacity. </p> <p>participating institutions and methods (acronyms used in file headers)</p> <p>Chalmers University (CU) transient plane source (TPS)<br>Geological Survey of Sweden (SGU) optical scanning (TCS) <br>Ruhr-Universit ̈at Bochum (RUB) Dewar method, modified Angstrom (mAng), optical scanning (TCS)<br>Aarhus University (AU) transient divided bar (TDB)<br>University College Dublin (UCD) divided bar (DB)</p>
Retrievals of aerosol optical, componential, and radiative properties from joint observations of sun photometer and Lidar using GRASP algorithm
<p>The site location is <span>114°21′E, 30°32′N (Central China). The time period is from 2021.07 to 2022.08.</span></p> <p><span>Data includes AOD (all sequences), SSA, ASY, ASD, CRI (only retrieved from sky irradiance), components (black carbon, brown carbon, dust, iron oxide, water-soluble inorganic salt and water), and vertical profiles of shapes of total extinction, fine-mode extinction, and coarse-mode extinction.</span></p>
The Lyman Alpha Reference Sample. XVI. Global 21cm HI properties of Lyman-alpha emitting galaxies.
<p>21cm maps and spectra of galaxies in the Lyman Alpha Reference Samples (LARS and eLARS). The field of view has been tailored to show the full extent of the main SoFIA 2 detection. In each FIgure, the top left panel shows DECaLS optical composite image with HI column density contours at level $1.0\times2^n \times10^{19}\,\textrm{cm}^{-2}$, with $n=0,1,2,...,5$ overlaid. The blue solid line shows the regions with SNR>3. Contours fully included in the SNR>3 mask are shown in white, low signal-to-noise contours are shown in gray. A gray cross indicates the position of the galaxy according to optical coordinates, a synthesized beam shaped aperture centred on these coordinates was used to extract HI properties in the center. The top right panel shows column density maps with the same contours as on the previous panel overlaid. The middle left pannel shows the moment-1 map. The middle right panel shows the linewidth map. The bottom pannel shows the total 21cm spectrum (gray) and beam-extracted 21cm spectrum (black). Velocity centroids are indicated by a vertical solid line, and velocity at half width on either side of the peaks by dashed lines, in either gray or black for the total or beam extraction respectively. In the Figure for eLARS05, the object on the bottom left of the top left panel is a separate detection by SoFIA-2.</p>
Supplementary data for study on "Superplastic 3D printed nitinol woven metamaterials lead to dramatic variations of mechanical properties by design"
<p>Raw and processed data from experimental compression testing of 3D printed nitinol lattices and wovens are provided as supplementary materials for the mentioned study, submitted for evaluation to the journal of Virtual and Physical Prototyping.</p>
ScienceDex guides
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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.