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2,960 results for “elements”
Supplementary tables for the article "A novel approach for discovering correlations between elemental and molecular composition using laser-based spectroscopic techniques"
<p>Table S1. Collection conditions of zooplankton samples. Data in the salinity and temperature columns, separated by a slash sign, are the characteristics of surface and bottom water.</p> <p>Table S2. The results of elemental analysis of zooplankton by ICP-AES and ICP-MS (as provided by IO RAS).</p> <p>Table S3. List of emission signals used to construct spider diagrams.</p> <p>Table S4. List of spectral ranges eliminated from LIBS data to improve the performance of chemometric algorithms.</p> <p>Raw LIBS and Raman spectra of zooplankton.</p> <p> </p>
Dataset for the published article "Retarded room temperature Hamaker coefficients between bulk elemental metals"
<p>The data contained in the zip files constitute the main research data of the publication entitled as "<a href="https://doi.org/10.1016/j.susc.2022.122123">Retarded room temperature Hamaker coefficients between bulk elemental metals</a>". They are provided in a txt file format.</p> <p>"Identical metals in vacuum.zip" contains the room temperature Hamaker coefficients between 26 identical elemental polycrystalline metals that are embedded in vacuum computed from the <strong>full Lifshitz theory</strong> as a function of the separation of the metallic semi-spaces within 0-200nm. The employed discretization scheme is the following: for l = 0 − 1 nm, <span class="math-tex">\(\Delta{l}=0.1\,nm\)</span> which corresponds to 11 data points, for l = 1−200 nm: <span class="math-tex">\(\Delta{l}=1\,nm\)</span> which corresponds to 200 data points. The computation of the imaginary argument dielectric function of metals is based on the full spectral method combined with a Drude model low frequency extrapolation technique which has been implemented with input from extended-in-frequency dielectric data that range from the far infra-red region to the soft X-ray region of the electromagnetic spectrum.</p> <p>"Identical metals in water (Fiedler et al).zip" contains the room temperature Hamaker coefficients between 26 identical elemental polycrystalline metals that are embedded in pure water computed from the <strong>full Lifshitz theory</strong> as a function of the separation of the metallic semi-spaces within 0-200nm. The employed discretization scheme is the following: for l = 0 − 1 nm, <span class="math-tex">\(\Delta{l}=0.1\,nm\)</span> which corresponds to 11 data points, for l = 1−200 nm: <span class="math-tex">\(\Delta{l}=1\,nm\)</span> which corresponds to 200 data points. The computation of the imaginary argument dielectric function of metals is based on the full spectral method combined with a Drude model low frequency extrapolation technique which has been implemented with input from extended-in-frequency dielectric data that range from the far infra-red region to the soft X-ray region of the electromagnetic spectrum. The computation of the imaginary argument dielectric function of pure water is based on the simple spectral method which has been implemented with input from the Fiedler <em>et al.</em> dielectric parameterization.</p> <p>"Identical metals in water (Parsegian-Weiss).zip" contains the room temperature Hamaker coefficients between 26 identical elemental polycrystalline metals that are embedded in pure water computed from the <strong>full Lifshitz theory</strong> as a function of the separation of the metallic semi-spaces within 0-200nm. The employed discretization scheme is the following: for l = 0 − 1 nm, <span class="math-tex">\(\Delta{l}=0.1\,nm\)</span> which corresponds to 11 data points, for l = 1−200 nm: <span class="math-tex">\(\Delta{l}=1\,nm\)</span> which corresponds to 200 data points. The computation of the imaginary argument dielectric function of metals is based on the full spectral method combined with a Drude model low frequency extrapolation technique which has been implemented with input from extended-in-frequency dielectric data that range from the far infra-red region to the soft X-ray region of the electromagnetic spectrum. The computation of the imaginary argument dielectric function of pure water is based on the simple spectral method which has been implemented with input from the Parsegian-Weiss dielectric parameterization.</p> <p>"Identical metals in water (Roth-Lenhoff).zip" contains the room temperature Hamaker coefficients between 26 identical elemental polycrystalline metals that are embedded in pure water computed from the <strong>full Lifshitz theory</strong> as a function of the separation of the metallic semi-spaces within 0-200nm. The employed discretization scheme is the following: for l = 0 − 1 nm, <span class="math-tex">\(\Delta{l}=0.1\,nm\)</span> which corresponds to 11 data points, for l = 1−200 nm: <span class="math-tex">\(\Delta{l}=1\,nm\)</span> which corresponds to 200 data points. The computation of the imaginary argument dielectric function of metals is based on the full spectral method combined with a Drude model low frequency extrapolation technique which has been implemented with input from extended-in-frequency dielectric data that range from the far infra-red region to the soft X-ray region of the electromagnetic spectrum. The computation of the imaginary argument dielectric function of pure water is based on the simple spectral method which has been implemented with input from the Roth-Lenhoff dielectric parameterization.</p> <p>All Hamaker coefficients are given in zJ and all separations are given in nm.</p>
Data Availability - DRAFT - 'Process-based similarity' revealed by discharge-dependent relative submergence dynamics of thousands of large bed elements
<p>Datasets and R code related to confidential manuscript submission entitled "‘Process-based similarity’ revealed by discharge-dependent relative submergence dynamics of thousands of large bed elements". Restrictions apply to the availability of the 2014 DTM and 2D model results, which were used under contractual agreement from the project sponsor. These are available from the senior author with the permission of Yuba Water Agency. Restrictions apply to the availability of the 2014 DTM and 2D model results, which were used under contractual agreement from the project sponsor. These are available from the senior author with the permission of Yuba Water Agency.</p>
Multi-element signatures of the selected cobalt-rich metallogenic families. The bold text highlights the most relevant metal occurrences for the selected metallogenic families.
<p>This dataset is table 2 from the article "Predictive assessment of metallogenic signatures using the DataBase Querying (DBQ) method: A European application by Blandine Gourcerol *, Guillaume Bertrand, Laurent Bailly, Pauline Moreau, Isabelle Duhamel-Achin, Maxime Picault, Philippe Négrel</p> <p>DOI : https://doi.org/10.1016/j.gexplo.2022.106966</p>
Finite element models from: Mechanical compensation in the evolution of the early hominin feeding apparatus
<p>Australopiths, a group of hominins from the Plio-Pleistocene of Africa, are characterized by derived traits in their crania hypothesized to strengthen the facial skeleton against feeding loads and increase the efficiency of bite force production. The crania of robust australopiths are further thought to be stronger and more efficient than those of gracile australopiths. Results of prior mechanical analyses have been broadly consistent with this hypothesis, but here we show that the predictions of the hypothesis with respect to mechanical strength are not met: some gracile australopith crania are as strong as that of a robust australopith, and the strength of gracile australopith crania overlaps substantially with that of chimpanzee crania. We hypothesize that the evolution of cranial traits that increased the efficiency of bite force production in australopiths may have simultaneously weakened the face, leading to the compensatory evolution of additional traits that reinforced the facial skeleton. The evolution of facial form in early hominins can therefore be thought of as a trade-off between the need to increase the efficiency of bite force production and the need to maintain the structural integrity of the face. This may have implications for interpreting cranial form in other vertebrates.</p>
Dataset for "Efficient Discrete Element Modeling of Particle Dampers"
<p>Dataset for "Efficient Discrete Element Modeling of Particle Dampers" paper submitted to MDPI Processes, as required by MDPI Research Data Policy on Data Availability.</p> <p> </p>
Supplementary Material 1 : Monitoring Hydrothermal Activity Using Major and Trace Elements in Low-Temperature Fumarolic Condensates, The Case of La Soufriere de Guadeloupe Volcano, by Inostroza et al.
<p>Supplementary Material 1 - Monitoring hydrothermal activity using major and trace elements in low-temperature fumarolic condensates, the case of La Soufriere de Guadeloupe volcano, by Manuel Inostroza, Séverine Moune, Roberto Moretti, Vincent Robert, Magali Bonifacie, Elodie Chilin-Eusebe, Arnaud Burtin, Pierre Burckel</p>
Supplementary Datasets for 'Exploring rift geodynamics in Ethiopia through olivine-spinel Al-exchange thermometry and rare-earth element distributions'
<p>Supplementary Datasets for 'Exploring rift geodynamics in Ethiopia through olivine-spinel Al-exchange thermometry and rare-earth element distributions'.</p> <p>Dataset S1: Qualitative X-ray maps of Mg, Ca, Al, Ni, P in olivine-spinel pairs.<br> Dataset S2: Quantitative EPMA point analyses of olivine and spinel. Includes Sheet 1: Secondary standards; Sheet 2: Sample data.<br> Dataset S3: Full inversion outputs from MultiNest.</p>
Surrogate-modelling & machine learning dataset : finite element stress analysis of biaxial specimen with random elastic properties - 1000 samples
<p>Dataset finite element stress analysis of biaxial specimen with random elastic properties</p> <p>Unzip and execute dataset.py to visualise data samples. PyVista is needed.</p>
Surrogate-modelling & machine learning dataset : finite element stress analysis of biaxial specimen with random elastic properties - 100 samples
<p>Dataset finite element stress analysis of biaxial specimen with random elastic properties</p> <p>Unzip and execute dataset.py to visualise data samples. PyVista is needed</p>
Finite element analysis related to MiGriBot, a microrobotic structure
<p>The dataset presents the input and the results of three particular simulations made with ANSYS Workbench, a FEM software. Files contain information about the setting up of the analysis and results data.<br> There is information about the displacement of the parallel mechanism under actuation, a pick-and-place simulation, a modal analysis at the home configuration, and an evaluation of the stiffness of the gripper.</p>
Diazotroph Elemental Use Efficiency Model Output
<p>Dataset containing model output from the PISCES QUOTA model for three experiments performed to explore the impact of global change on the niche and physiology of two explicit marine diazotrophs. The model included diazotroph specific thermal performance curves for growth and elemental use efficiencies (both iron and phosphorus). The experiments were run using the IPCC high emissions RCP8.5 scenario. The explicit diazotroph model for PISCES QUOTA can be found here: https://github.com/lewiswrightson/PISCES-QUOTA-P6Z</p>
Finite Element Model of the ISTAR Demonstrator Wing
<p>A Nastran Bulk Data Deck of a miniature wing is provided. The wing is a small-scale representation of the <a href="https://www.dlr.de/content/en/articles/aeronautics/research-fleet-infrastructure/dlr-research-aircraft/istar-dassault-falcon-2000lx-d-bdlr.html">DLR ISTAR research aircraft</a> wing. The model consists of quadrilateral CQUAD4 shell elements with multi-layer GFRP composite properties. It has been built using the DLR in-house software ModGen which enables the <a href="https://elib.dlr.de/105799/">parametric design and optimization of full aeroelastic analysis models</a>.</p> <p>The input ".bdf"-file was used in MSC Nastran version 2018.2 to generate the output files ".h5, .f06, .xdb". By default a normal modes analysis is conducted with the wing being clamped at the symmetry plane of the aircraft.</p> <p>https://www.dlr.de/en</p>
Discrete element models for understanding the biomechanics of fossorial animals
<p><span>The morphological features of fossorial animals have continuously evolved in response to the demands of survival. However, </span><span>existing methods for animal burrowing mechanics are not capable of addressing the large deformation of substrate. T</span><span>he discrete element method (DEM) is able to overcome this limitation. In this study, we used DEM </span><span>to develop a general model to simulate the motion of an animal body part and its interaction with the substrate. The DEM also allowed us to easily change the forms of animal body parts to examine how those different forms affected the biomechanical functions. These capabilities of the DEM were presented through a case study of modelling the burrowing process of North American Badger. In the case study, the dynamics (forces, work, and soil displacements) of burrowing were predicted for different forms of badger claw and manus, using the model. Results showed that when extra digits are added to a manus, the work required for a badger to dig increases considerably, while the mass of soil dug only increases gradually. According to the proposed efficiency index (ratio of the amount of soil dug to the work required), the modern manus with 5 digits has indeed biomechanical advantage for their fossorial lifestyle, and the current claw curvature (25.3 mm in radius) is indeed optimal. The DEM is able to predict biomechanical relationships between functions and forms for any fossorial animals. Results can provide biomechanical evidences for explaining how the selective pressures for functions influence the morphological evolution in fossorial animals.</span></p>
Greek Column Element
Original photoscan si made by [The British Museum](https://sketchfab.com/3d-models/marble-column-drum-temple-of-artemis-at-ephesus-ed10dc0f3a104ec6bd821d3611d28425) Source: Objaverse 1.0 / Sketchfab
Using a whole-body 31P birdcage transmit coil and 16-element receive array for human cardiac metabolic imaging at 7T
<p>The uploaded data relate to the PLoS ONE manuscript of Valkovič et al. entitled "Using a whole-body 31P birdcage transmit coil and 16-element receive array for human cardiac metabolic imaging at 7T." 2017<br> The data consist of the models used for simulating electromagnetic fields, in CST Studio 2016 format, for the whole-body coil and the surface coil, and of the the phantom and anonnymised in vivo data, in Siemens DICOM format, acquired as described in the manuscript.</p>
Ultraconserved element data for phylogenomic placement of the jumping spider genus Iranattus Prószyński, 1992 (Salticidae, Plexippini, Plexippina)
<p>The jumping spider genus <em>Iranattus</em> Prószyński, 1992 has been placed in the Harmochirina based on morphology. We use phylogenomic evidence based on ultraconserved element (UCE) data to show that it belongs instead in the subtribe Plexippina.</p>
Trace element composition of drinking water in Almaty
<p>Water is an important component of all life on Earth, and water pollution with heavy metals can lead to detrimental consequences for public health. The purpose of this study was to determine the health risks caused by trace elements present in the drinking water supply systems of Almaty City. As part of this research, the elemental composition of 78 drinking water samples taken in winter, summer, and autumn of 2023 in different areas of the city was studied.Based on the data obtained, drinking water contamination indices were calculated for heavy metal groups, and the degree of water suitability for drinking purposes was assessed for each sampling point.</p>
Spatial Mapping of Mobile Genetic Elements and their Cognate Hosts in Complex Microbiomes - Identifying the host taxon of a previously undescribed plasmid
<p>We investigated the taxonomic association of an unknown plasmid within a plaque biofilm of a patient diagnosed with stage 3 periodontitis. We combined long- and short- read sequencing to identify a complete plasmid with minimal homology to any sequence in the RefSeq database. The plasmid carried several predicted genes for mobilization and toxin-antitoxin systems. We designed MGE-FISH probes for the plasmid and combined this MGE-FISH stain with an 18-genera HiPR-FISH panel.</p> <p>Images are labeled by collection time such that the laser order for a given field of view (fov) is: 488nm Lambda, 514nm Lambda, 561nm Lambda, 633nm Airyscan, 405nm Lambda. We used Flye (https://github.com/fenderglass/Flye) to assemble the plasmid using long read Nanopore sequencing only and we used OPERA-MS (https://github.com/CSB5/OPERA-MS) to do hybrid assembly with Illumina short reads and Nanopore long reads. The assemblies are in the fasta files and the reads that map to the assemblies are in the fastq files. </p>
Spatial Mapping of Mobile Genetic Elements and their Cognate Hosts in Complex Microbiomes - Combined MGE and taxonomic mapping
<p>We used rRNA-FISH to stain five common oral genera, <em>Veillonella, Streptococcus, Corynebacterium, Lautropia, </em>and <em>Neisseria, </em>each with a different fluorophore, and we used MGE-FISH to stain the <em>termL</em> gene of the active prophage with a sixth fluorophore.</p> <p>We assembled contigs using combined long- and short-read sequencing and identified a highly abundant plasmid. Alignment of this contig to the plasmid database (PLSDB) showed that the plasmid had previously been observed in <em>Prevotella nigrescens</em> (https://www.ncbi.nlm.nih.gov/datasets/genome/GCF_018127865.1/). We selected two genes from the contig with metallo-β-lactamase (MBL) domains as targets for MGE-FISH (https://www.uniprot.org/uniprotkb/V8CNR4/entry, https://www.uniprot.org/uniprotkb/V8CNR9/entry). We stained both putative MBL genes (<em>pMBL</em>) with the same color using MGE-FISH. For taxonomic mapping, we broadened our target panel by employing HIPR-FISH. We selected a target panel of 18 genera that are highly abundant and prevalent in human plaque. We designed a HiPR-FISH spectral encoding using a 5-fluorophore combinatorial barcoding scheme, whereby each fluorophore represents a binary bit, providing 31 possible barcodes (2^5 - 1 = 31). The fluorophore for MGE-FISH was spectrally distinct from those of HiPR-FISH, enabling simultaneous implementation of both methods.</p> <p>Images are labeled by collection time such that the laser order for a given field of view (fov) is: 488nm Lambda, 514nm Lambda, 561nm Lambda, 633nm Airyscan, 405nm Lambda. We used OPERA-MS (https://github.com/CSB5/OPERA-MS) to do hybrid assembly with Illumina short reads and Nanopore long reads. The assemblies are in the fasta files and the reads that map to the assemblies are in the fastq files. </p>
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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.