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2,960 results for “elements”
The dataset for the isogeometric boundary element method for acoustic problems
<p>This repository includes the data associated to the numerical examples in the <em>'Applications of an isogeometric indirect boundary element method and the importance of accurate geometrical representation in acoustic problems'</em> article submitted to the <strong>Engineering Analysis with Boundary Elements</strong> Elsevier journal. The data comprise of the CAD models, NURBS models to be solved by the isogeometric boundary element method (IGiBEM) with the proposed method in the article, meshes to be solved indirect boundary element method (iBEM) with LMS Virtual.Lab 13.7v, and the results of the numerical examples: 1) vibrating cube, 2) car hood and 3) loudspeaker. The IGiBEM software is under private license of KU Leuven and Siemens Industry Software NV, therefore, it is not shared in this repository.</p>
A Novel Hybrid Finite Element-Spectral Boundary Integral Scheme for Modeling Earthquake Cycles: Application to Rate and State Faults with Low-Velocity Zones
<p>We present a novel hybrid finite element (FE) - spectral boundary integral (SBI) scheme that enables efficient simulation of earthquake cycles. This combined FE-SBI approach captures the benefits of finite elements in modelling problems with nonlinearities, as well as the computational superiority of SBI. The domain truncation enabled by this scheme allows us to utilize high-resolution finite elements discretization to capture inhomogeneities or complexities that may exist in a narrow region surrounding the fault. Combined with an adaptive time stepping algorithm, this framework opens new opportunities for modeling earthquake cycles with high-resolution fault zone physics. In this initial study, we consider a two dimensional (2-D) anti-plane model with a vertical strike-slip fault governed by rate and state friction in the quasi-dynamic limit under the radiation damping approximation. The proposed approach is first verified using the benchmark problem BP-1 from the Southern California Earthquake Center (SCEC) sequence of earthquake and aseismic slip (SEAS) community verification effort. The computational framework is then utilized to model the earthquake sequence and aseismic slip of a fault embedded within a low-velocity fault zone (LVFZ) with different widths and compliance levels. Our results indicate that sufficiently compliant LVFZs contribute to the emergence of sub-surface events that fail to penetrate to the free surface and may experience earthquake clusters with nonuniform inter-seismic time. Furthermore, the LVFZ leads to slip rate amplification relative to the homogeneous elastic case. We discuss the implications of our results for understanding earthquake complexity as an interplay of fault friction and bulk heterogeneities. The complete work consists of all files listed below. </p>
Simulated data set of chimeric transposable elements.
<p>This dataset is composed of 9,000 sequences of transposable elements (TEs) of 20,000 bp. Three cases of transposable elements with artifacts at the ends, with another chimeric TE or with simple repeats were considered for the generation of the sequences. The sequences of the first case consist of a DNA fragment + first TE + DNA fragment + second TE + DNA fragment. The sequences of the second case consist of a first TE + second TE + repeat of the first TE. The third case sequences consist of a microsatellite that is repeated in tandem by placing the extracted TE at position 10,000 (in the middle), occupying both sides to the ends. All TEs used in this dataset were taken from Dfam, for the species Drosophila melanogaster.</p> <p>The identifier of each sequence has the information about the case, TE Dfam identifier, TE initial position inside the sequence, and the TE length, all separated by "_". For example:</p> <p>Caso1_DF000001548.2_6926_5126</p> <p>File description:</p> <p>dataset.zip: The fasta file containing all the sequences</p> <p>features_data.npy.zip: A numpy file containing the numerical representation of the four TE+Aid plots generated for the sequences presented in the dataset.zip file. This data is actually a numpy array with dimensions 9000x256x256x3x4</p> <p>labels_data.numpy.zip: A numpy file containing the starting and ending position (normalized between 0 and 1) of each TE presented in the dataset.zip file.</p> <p>The last two files were generated to train a neural network for trimming out automatically artifacts in DNA sequences.</p>
Fig. 1 in Extraction and elemental composition of meconium in Polistes dominulus (Hymenoptera: Vespidae)
Fig. 1. Meconia in the bottom of the cells of a Polistes dominulus nest.
Fig. 2 in Extraction and elemental composition of meconium in Polistes dominulus (Hymenoptera: Vespidae)
Fig. 2. Meconia of Polistes dominulus.
FIGURE 7 in Coupling finite element analysis and multibody system dynamics for biological research
FIGURE 7. Average error with respect to the number of deformation modes used.
FIGURE 6. First 12 in Coupling finite element analysis and multibody system dynamics for biological research
FIGURE 6. First 12 modes of the skull in case 2 (with the web of beams in the model).
FIGURE 3 in Coupling finite element analysis and multibody system dynamics for biological research
FIGURE 3. Locations of the nine nodes at which the stresses were evaluated.
FIGURE 5. First 12 in Coupling finite element analysis and multibody system dynamics for biological research
FIGURE 5. First 12 modes of the skull in case 1 (without web of beams in the model).
FIGURE S3 in Accounting for differences in element size and homogeneity when comparing Finite Element Models: Armadillos as a case study
FIGURE S3. Map of Von Mises stress distribution in the 20 FEA models of Cingulata mandibles.
Enhancement of green ghosts due to recurrence of sprite element
<p><span>These files contain the dataset supporting the manuscript titled "Enhancement of green ghosts due to recurrence of sprite element". The dataset includes the original images and videos of events.</span></p>
Space-Fractional Truss Element - shape functions and stiffness matrix
<p>The following research data zipped to a .zip file is included.</p> <p>Data refers to formulas for shape functions (\(N_{i}\)) and stiffness matrix components (\(K_{ij}\)) for a non-local truss element formulated in terms of fractional calculus (space-Fractional Truss Element) and the finite element method.</p> <p>The data are described as follows:</p> <ul> <li>The .zip file contains information in the name about the number of nodes of the truss element (m).</li> <li>Formulas for shape functions written in different formats: <ul> <li>Display_Ni.svg shows the formula in a conveniently viewable form;</li> <li>LaTeX_Ni.txt contains a formula written in LaTeX syntax;</li> <li>Sym_Ni.txt contains a formula written in symbolic form, allowing loading into a calculation program (e.g., by loading a file and using the sympify() function);</li> <li>Plot_Ni.svg contains plotted shape functions.</li> </ul> </li> <li>Formulas for the elements of the stiffness matrix written in different formats:<br> <ul> <li>The formula for the elements of the stiffness matrix is as follows, <br>\(K_{ij}=EA\frac{L}{2}\int_{-1}^{1} B_{i}B_{j} d\xi. \)</li> <li>In the files, the formulas for \(B_{i} \) and the product of \(B_{i}B_{j} \) are written - in different formats, with naming analogous to that described for the shape functions.</li> </ul> </li> </ul>
Integrated maize cis-regulatory elements (iCREs)
<p>Files containing the genomic coordinates of the conserved non-coding sequences (BLSSpeller, msa_pipeline, funTFBS, and Song-2021), the accessible chromatin regions (ACRs) and the unmethylated regions (UMRs) in the maize genome version 5 employed to generate the integrated cis-regulatory-elements (iCREs), both the all and maxF1 sets.</p> <p>Version 1.1 includes the "all" iCREs and the "maxF1" iCREs annotated to their closest gene.</p> <p>Version 1.2 includes an extra version of the same files as the previous one but with the genome coordinates in the maize genome version 4 (AGPv4)</p> <p>Version 1.3 includes the "all" iCREs and the "maxF1" iCREs annotated to their closest gene in the coordinates of the maize genome version 4 (AGPv4).</p> <p>Version 1.4 includes Supplementary Table 3 and 4 (which in the reserach chapter version of the article, included in the doctoral dissertation of Nicolás Manosalva, they correspond to Supporting Datasets 5 and 6):</p> <ul> <li>Table S3/Dataset S5: Gene ontology (GO) enrichment of the genes associated with different repetitive element types and transposable element (TE) superfamilies that are found within iCREs. </li> <li>Table S4/Dataset S6: Number of, median value of the transcripts per million, and p-value of the genes associated with TEs within, outside, and within and outside iCREs. The computations were binned per distance to the closest gene.</li> </ul>
AlloyManufacturingNet for discovery and design of hardness-elongation synergy in multi-principal element alloys
<p>Description</p> <p>1. Models saved after training the neural networks:</p> <p>a. hardness_saved_models.zip</p> <p>b. ductility_saved_models.zip</p> <p>2.<strong> prediction_data_for_casting_process.zip</strong>: Alloy types and their composition variants are provided in the file <strong>multicomponent_alloys_variants_compositions.csv</strong>. The hardness prediction for casting process with alloys are given in <strong>hardness_prediction_alloys_CAT-A.csv</strong> file whereas elongation prediction for the alloys for the same process (manufacturing route) are provided in<strong> elongation_prediction_alloys_CAT-A.csv</strong>. The composition sets D1_{x}D2_{y}(ZrHfNb)_{1-x-y} are referred to as<strong> Alloy A</strong>, whereas D1_{x}D2_{y}(VNbTa)_{1-x-y} are denoted as <strong>Alloy B</strong> in the columns of the csv files. The numeric value after alloy type denotes the specific pairs of the dopants [D1,D2] . For example, the alloy variants Ti_{x}Ta_{y}(ZrHfNb)_{1-x-y}, W_{x}Ta_{y}(ZrHfNb)_{1-x-y}, Mo_{x}Ta_{y}(ZrHfNb)_{1-x-y}, and Cr_{x}W_{y}(ZrHfNb)_{1-x-y} are referred to as Alloy A1, Alloy A2, Alloy A3 and Alloy A4 respectively. Similarly, Alloy A1, Alloy A2, Alloy A3 and Alloy A4 respectively denote Cr_{x}W_{y}(VNbTa)_{1-x-y}, Zr_{x}W_{y}(VNbTa)_{1-x-y}, Hf_{x}W_{y}(VNbTa)_{1-x-y}, and Mo_{x}Ti_{y}(VNbTa)_{1-x-y}. Hence, if a column is represented as HV_A2, then it is the hardness prediction for the alloy systems W_{x}Ta_{y}(ZrHfNb)_{1-x-y}, and if the column header is EL_B3, then the elongation of Hf_{x}W_{y}(VNbTa)_{1-x-y} alloy systems is estimated.</p>
Sorption strategies for recovering critical raw materials: Extracting trace elements from saltworks brines
<p><span>Rising population, industrialisation, and resource demand intensify resource limitations, particularly critical for European Union (EU) industries dependent on raw materials. Based on economic importance and supply risk, 32 Critical Raw Materials (CRMs) and two strategic raw materials were identified in 2023. With most CRMs sourced outside the EU, sea mining emerges as a promising secondary resource for CRMs extraction from seawater, although the harvest of Trace Elements (TEs) will require energy-intensive processes. Several EU-funded projects explore circular economy and resource recovery, considering sorption methods’ potential to extract TEs from brines. Commercial polymeric (IRC747, S940, MTX8010) and inorganic (SbTreat, SrTreat) sorbents, plus another synthesised inorganic one (CuHCF), were assessed for recovering TEs (cobalt, gallium, germanium, rubidium, strontium, caesium) from saltworks brines (bitterns). Polymeric sorbents, containing chelating functional groups, effectively targeted cobalt, gallium, and strontium, commercial inorganic sorbents favoured cobalt, gallium, germanium and strontium, and CuHCF targeted rubidium and caesium. Kinetic batch experiments demonstrated rapid element retention (≤30 min) by most sorbents. In dynamic column experiments, high sorption capacities were observed for cobalt and gallium with the polymeric sorbents, particularly for aminophosphonic sorbents (IRC747 and S940) (≥2.1 mg/g). SrTreat exhibited also a high sorption capacity of 7 mg/g for strontium, SbTreat achieved 20 mg/g for gallium and germanium and CuHCF retained rubidium (10 mg/g) and caesium (70 mg/g). Acidic desorption effectively recovered (>70 %) most of the elements from the sorbents, achieving concentration factors up to 708 for cobalt with IRC747 and S940, highlighting the potential valorisation of saltworks bitterns.</span></p>
2 PREHEALING: Design of concrete precast elements incorporating sustainable strategies for self-healing to increase their service life. Concrete analysis
<div>This project addresses the analysis of the performance of concrete with internal curing aggregates (ICA), low-clinker cementitious materials, and steel fibres for use in real applications in the precast industry. A total of eight mixes were designed: 100C, 60C25BA15M (where BA denotes forestry biomass and M denotes metakaolin), 60C25LF15M (with LF as limestone filler and M as metakaolin), 100C-30CBA (where CBA denotes porous aggregate from coal ash), 60C25BA15M-30CBA, 60C25LF15M-30CBA, 60C25BA15M-30CBA-F (where F denotes fibres), and 60C25LF15M-30CBA-F. Two different curing conditions were analysed (standard water curing and humidity/drying cycles), assessing the recovery of mechanical properties and four curing conditions for impermeability recovery: i) carbonated water (CW), ii) immersion/drying cycles in carbonated water (CW wet-dry), iii) tap water (TW), and iv) immersion/drying cycles in tap water (TW wet-dry).</div> <div> </div> <div>This section includes the results of all tests conducted during the experimental campaign, divided into two files:</div> <div> </div> <div> <ul> <li>01_Permeability Test.zip: <br>The attached files contain the results of the permeability tests conducted on cracks opened through the indirect tensile test on cylindrical discs. Permeability tests were initially performed after the crack was opened and then following a self-healing process under four curing conditions: i) carbonated water (CW), ii) immersion/drying cycles in carbonated water (CW wet-dry), iii) tap water (TW), and iv) immersion/drying cycles in tap water (TW wet-dry), at two exposure times: 28 and 90 days.</li> </ul> </div> <div> <ul> <li>02_Mechanical Recovery.zip:<br>The attached files contain the results of the three-point bending test, including crack opening measurements and the force applied at each interval. The cracks were reopened after a curing period in continuous tap water and in immersion/drying cycles. After a period of 28 and 90 days, the cracks were reopened to calculate the mechanical recovery during the self-healing period. The attached files contain all test results conducted during both phases.</li> </ul> </div>
Elemental balances Ruditapes decussatus
<p><span><span>Dietary ratio of lipids to carbohydrates affects elemental stoichiometric relationships in different growth phenotypes of the clam <em>Ruditapes decussatus</em></span></span></p>
Lumped Element Rigid Panel Dynamics Model
<p>This code is a lumped element rigid panel dynamics model calculating natural frequencies and mode shapes for radiator panels connected by thin kinked tubes. The panels are connected by torsional spring elements, and this work is compared against a continuous equivalent stiffness beam model. Data is included for the example being calculated, however, it can be easily modified for any number of panels.</p> <p>This work is part of Kyle Marquis' 2021 Master's Thesis at the University of Colorado Boulder, titled "A Novel Deployable Radiator Architecture for High-Power Spacecraft Missions by Connecting Tapered and Layered Panels with Thin Kinked Tubes".</p>
Conformance Assessment of Architectural Design Decisions on the Mapping of Domain Model Elements to APIs and API Endpoints: Dataset and Code
<p>This is the dataset and related code artifact for the article "Conformance Assessment of Architectural Design Decisions on the Mapping of Domain Model Elements to APIs and API Endpoints".</p> <p><strong>Abstract of the article:</strong></p> <p> Microservice APIs are often identified and designed based on Domain-Driven Design (DDD). To help in the continuous analysis of mappings of domain model elements to APIs and API endpoints, we aim to automate the assessment of conformance to Architectural Design Decision (ADD) options. The ADDs, their decision options, and relevant decision drivers studied in this paper originate from an empirical study on the mapping of domain model elements to APIs and API endpoints in practice. We propose automated detectors to detect the decision options of the ADDs taken in a given microservice API model, and an assessment scoring scheme based on the empirical knowledge codified in the ADDs. We evaluate our work, by first manually creating a ground truth for 14 cases in a multi-case study, and then comparing the results of our automated detectors to the ground truth for each of the 14 cases. In the cases we were able to identify 86\% of the decision points correctly, and a statistical analysis of our data shows only a negligible effect size for differences to the ground truth.</p>
A high-resolution finite element method (FEM) human head model for non-invasive brain stimulation
<p>High-resolution finite element method (FEM) model of a human head for non-invasive brain stimulation modeling using SimNIBS or other compatible software. The original head model (Ernie) was downloaded from the tutorial dataset of <a href="http://simnibs.org">www.simnibs.org</a> and further refined in grey matter and white matter regions.</p> <p>This supplementary dataset is released as part of the NeMo-TMS toolbox (<a href="https://github.com/OpitzLab/NeMo-TMS">https://github.com/OpitzLab/NeMo-TMS</a>). Please refer to the corresponding article for more information:</p> <p>Shirinpour, S., Hananeia, N., Rosado, J., Galanis, C., Vlachos, A., Jedlicka, P., Queisser, G., & Opitz, A. (2020). Multi-scale Modeling Toolbox for Single Neuron and Subcellular Activity under (repetitive) Transcranial Magnetic Stimulation. <em>BioRxiv</em>, 2020.09.23.310219. <a href="https://doi.org/10.1101/2020.09.23.310219">https://doi.org/10.1101/2020.09.23.310219</a></p>
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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.