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3,081 results for “array”
Quantum Dots Array on Ultra-Thin SOI Nanowires with Ferromagnetic Cobalt Barrier Gates for Enhanced Spin Qubit Control
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Incremental Covering Array Generation
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H-κ-c results in central-southern Tibetan Plateau and receiver functions from GANSSER, Butan Pilot Array, and 5 INDEPTH IV stations
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Supplementary material 1 from: Pashova-Dimova S, Petrov P, Karachanak-Yankova S, Pashov A (2023) Neurodegenerative diseases associated antibody repertoire signatures in mimotope arrays based on cyclic versus linear peptides. Pharmacia 70(4): 1439-1447. https://doi.org/10.3897/pharmacia.70.e115179
Supplementary method
Dataset for "Superconductivity from a melted insulator in Josephson junction arrays"
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Supplementary material 1 from: Cros M-J, Frigerio J-M, Peyrard N, Franc A (2024) Simple approaches for evaluation of OTU quality based on dissimilarity arrays. Metabarcoding and Metagenomics 8: e108649. https://doi.org/10.3897/mbmg.8.108649
Supplementary information
2D Rydberg Exciton Array
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DEATHSTAR - Nearby AGB stars with the Atacama Compact Array
<p>Low- and intermediate-mass stars develop slow and massive stellar winds when they reach the end of their lives. Investigating the mass-loss phenomenon on the asymptotic giant branch (AGB) is crucial in gaining a better understanding of late stellar evolution, as well as of the galactic chemical evolution, as AGB stars contribute significantly to the enrichment of the interstellar medium. DEATHSTAR is a large project aimed at improving the accuracy of stellar wind-parameter measurements. Constraining the size of the CO-emitting circumstellar envelope is the first step of the project, by mapping the envelopes in CO J=2–1 and 3–2 lines with the Atacama Compact Array (ACA). The first published DEATHSTAR sample consists of 69 nearby (<1 kpc) AGB stars of the three chemical types. In this video, I present the results from our initial analysis and the current status of the DEATHSTAR project.</p>
Datasets for "Gravitational wave signal from primordial magnetic fields in the Pulsar Timing Array frequency band'
<p>The tar archive run_directories.zip contains the run directories for each run in Table 1 and the figures of the paper "Gravitational wave signal from primordial magnetic fields in the Pulsar Timing Array frequency band", by A. Roper Pol, C. Caprini, A. Neronov, D. Semikoz. The run directories, the plots, and the code to generate the plots can be found in https://github.com/AlbertoRoper/GW_turbulence.</p>
FIGURE 22. Haplotype array for A in DNA barcodes reveal different speciation scenarios in the four North American Anthocharis Boisduval, Rambur, [Duménil] & Graslin, [1833] (Lepidoptera: Pieridae: Pierinae: Anthocharidini) species groups
FIGURE 22. Haplotype array for A. lanceolata group.
FULL-WAVE EM SIMULATION OF HUMAN BODY BLOCKAGE BY DENSE 2D ANTENNA ARRAYS
<div> <div> <div> <p>This dataset, created using FEKO software, serves to investigate the impact of human body blockage on electromagnetic (EM) fields as observed by receiver antennas arranged in dense 2D/3D arrays. The simulation scenario involves an Hertzian dipole emitting radiation at 2.4868 GHz and positioned at a height of 0.99 meters. Field measurements are taken over a 3D array with multiple 2D arrays at varying distances from the source. An anthropomorphic obstacle representing a human body is included, featuring dimensions and material properties based on muscle composition. Simulations are conducted with the body at different positions and orientations relative to source and receivers considering real and imaginary part of EM field samples. The scenario includes no additional obstacles.</p> <p>For a 2D array at x=4m, simulations consider three body positions: (1) x=2m, y=0m, (2) x=2m, y=0.25m, and (3) x=2m, y=0.50m. Further simulations mimic micro-movements like translations along x and y axes by ±λ/4 increments and rotations at each position by angles 0°, 45°, 90°, and 135°, aiming to replicate real-life motions. In total, we simulate 3 positions, and for each of them, we consider 9 micro-positions (0 or ±λ/4 increments along x and/or y around the main position - the one with both increments equal to zero -) with 4 rotations for each. Therefore, there are a total of 3x9x4 simulations.</p> <p>The entire scenario involves 3D layouts of receiver arrays, with 50 surfaces composed of 90x180 elements spaced by λ/10.</p> </div> </div> </div> <div> <div><strong>Instructions: </strong></div> <div> <div> <p>The dataset comprises both .EFE files and MATLAB data, each representing a simulation position and containing real and imaginary components of the electric field received at each receiving point. Each file consists of a matrix sized 810000 x 6, where 6 denotes the real and imaginary components in the x, y, and z directions, and 810000 is derived from 90x180x50, representing the grid of receiving points.</p> <p>Each file within the dataset is labeled to convey its parameters. For example, "x2_y0.25_dxpl4_dyml4" denotes the position (x=2 m, y=0.25 m). Moreover, "dxpl4" represents the increment along the x-axis by plus lambda/four. "dpml4" and "dp0" are alternative options that can replace "dxpl4" if the increment is negative or there is no increment along the x-axis.<br>Similarly, "dyml4" denotes the decrement along the y-axis by minus lambda/four. "dypl4" and "dp0" can substitute "dyml4" to signify a different positive increment along the y-axis or no increment at all.</p> </div> </div> </div>
Enhancing Regional Quasi-Geoid Refinement Precision: An Analytical Approach Employing ADS80 Tri-linear Array Stereoscopic Imagery for Aerial Triangulation Densification and GNSS Gravity-Potential Leveling
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Figure 6 in Constellation array in scorpion genera Paruroctonus, Smeringurus, Vejovoidus, and Paravaejovis (Scorpiones: Vaejovidae)
Figure 6: Constellation array topology charts for vaejovid genera Paruroctonus, Smeringurus, Vejovoidus, and Paravaejovis. Open circles depict sensilla, closed circles depict major and minor landmark setae (connected by black lines) and the triangle depicts outer (OD) denticle-1. Vertical arrow provides alignment perspective for landmark setae ms2 and Ms, and the sensilla. Individual charts within genera are ordered by increasing number of distal median (MD) denticles (i.e., the number of MD denticles located between OD–1 and the distal denticle tip of the chelal fixed finger). It is important to note here in these charts (unlike those images show in figures Figs. 2–5, 7–22, 27) the fixed finger denticle edge is aligned horizontally, therefore perpendicular to the vertical arrow.
Incremental Covering Array Generation
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Microseismic activity and subsurface structure characteristic of the Laohutai coal mine in Northeast China based on a linear dense seismic array
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Lightning Mapping with an Array of Fast Antennas
<p>Lightning location results published in this paper.</p>
Illumina Inifinium HumanMethylation450 array data, under the paired bisulfite (BS) and oxidative bisulfite (oxBS) treatment
<p>The current data sets represent the raw methylated (M) and unmethylated (U) intensities on 38 paired samples, with cancer (non-metastatic colorectal cancer) and healthy (normal mucosa) tissue available for each single sample. The data were obtained in the context of the ongoing population-based case-control study DACHS (<em>Darmkrebs: Chancen der Verhuetung durch Screening</em>, <a href="http://dachs.dkfz.org/dachs/">http://dachs.dkfz.org/dachs/</a>), extensively described in Brenner et al. (2011). Data collecting and patient recruitment procedures as well as the processes of DNA isolation and methylation profiling using the Infinium HumanMethylation450 BeadChip array (Illumina) are similar to those described in Gündert et al. (2017).</p> <p>In the context of our experiment, all 38 samples were handled by means of paired bisulfite (BS) and oxidative bisulfite (oxBS) procedures. The reason for such paired treatment is the fact that the BS procedure, commonly used for derivation of the M and U intensities, can only differentiate between methylated and unmethylated cytosine bases, and cannot discriminate between 5mC and 5hmC. In order to determine the level of 5hmC at a considered nucleotide position that is indispensable for our analyses of the 5hmC measures, the oxBS procedure was applied. The name of the applied procedure (BS or oxBS) as well as the name of the corresponding intensities (M or U) can be read off from the name of the corresponding file. Each file contains 77 columns. The first column provides the designation of the corresponding CpG, the remaining 76 columns provide the corresponding intensities on healthy and cancer tissue, in alternating order.</p> <p>References:</p> <p>Brenner H, Chang-Claude J, Seiler CM et al. Protection from colorectal cancer after colonoscopy: a population-based, case-control study. Ann Intern Med 2011; 154: 22-30.</p> <p>Gündert M, Edelmann D, Benner A, et al. Genome-wide DNA methylation analysis reveals a prognostic classifier for non-metastatic colorectal cancer (ProMCol classifier). Gut 2017; 1-10.</p>
Utah array 10x10
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Utah array 8x8
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The Chinese Pulsar Timing Array Data Release I: Single pulsar noise analysis
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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.