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1,271 results for “Data Flow”
Data from: Flow imaging microscopy as a novel tool for high-throughput evaluation of elastin-like polymer coacervates
Biological and bioinspired polymer microparticles have broad biomedical and industrial applications, including drug delivery, tissue engineering, surface modification, environmental remediation, imaging, and sensing. Full realization of the potential of biopolymer microparticles will require methods for rigorous characterization of particle sizes, morphologies, and dynamics, so that researchers may correlate particle characteristics with synthesis methods and desired functions. Toward this end, we evaluated biopolymer microparticles using flow imaging microscopy. This technology is widely used in the biopharmaceutical industry but is not yet well-known among the materials community. Our polymer, a genetically engineered elastin-like polypeptide (ELP), self-assembles into micron-scale coacervates. We performed flow imaging of ELP coacervates using two different instruments, one with a lower size limit of approximately 2 microns, the other with a lower size limit of approximately 300 nanometers. We validated flow imaging results by comparison with dynamic light scattering and atomic force microscopy analyses. We explored the effects of various solvent conditions on ELP coacervate size, morphology, and behavior, such as the dispersion of single particles versus aggregates. We found that flow imaging is a superior tool for rapid and thorough particle analysis of ELP coacervates in solution. We anticipate that researchers studying many types of microscale protein or polymer assemblies will be interested in flow imaging as a tool for quantitative, solution-based characterization.
Data of 1962 and 1983 lava flows and scoriae in Miyakejima
<p>Excel sheets of Table S1 and S2</p>
Data for "Uncovering basal friction in northwest Greenland using an ice flow model and observations of the past decade"
<p>Data for the main figures for "Uncovering basal friction in northwest Greenland using an ice flow model and observations of the past decade"</p>
Video Data: Optic flow in the natural habitats of zebrafish supports spatial biases in visual self-motion estimation
<p>Video dataset accompanying "Spatial Biases in Optic-Flow Sampling for Self-Motion Estimation in Natural Environments." See accompanying <a href="https://github.com/eacooper/AlexanderOpticFlow">Github repository</a> for more documentation and analysis code.</p>
Data of Publication "Theoretical rheo-physics of silk: Intermolecular associations reduce the critical specific work for flow-induced crystallization"
<p>Data of Publication:</p> <p><em>Theoretical rheo-physics of silk: Intermolecular associations reduce the critical specific work for flow-induced crystallization<br> Charley Schaefer and Tom C. B. McLeish<br> Citation: Journal of Rheology 66, 515 (2022); doi: 10.1122/8.0000411<br> View online: https://doi.org/10.1122/8.0000411</em></p>
Data files associated with the U-net prediction of urban canopy flow
<p>Folder "testing_data" includes the input (urban canopy structure), output (LES velocity field), and prediction (velocity field from trained network) for general test cases.</p> <p>Folder "perturbed_data" includes the input (urban canopy structure), output (LES velocity field), and prediction (velocity field from trained network) for perturbed test cases.</p> <p>Input: dataX_xxxxxx</p> <p>Output: dataY_xxxxxx</p> <p>Prediction: pred_xxxxxx</p>
Climate data for Machine Learning based 100-year flood flow prediction model
<p>This study evaluates the application of ML technique over northeast United States regions and compares its performance to the U.S. Geological Survey (USGS) Streamflow Statistics (StreamStats)</p>
Data from: Rapid diversification of the Variable Seedeater superspecies complex despite widespread gene flow
<p>Disentangling the evolutionary relationships of rapidly radiating clades is often challenging because of low genetic differentiation and potentially high levels of gene flow among diverging taxa. The genus <em>Sporophila</em> consists of small Neotropical birds that show, in general, relatively low genetic divergence, but particularly high speciation rates and pronounced variation in secondary sexual traits (e.g., plumage color), which can be important in generating premating reproductive isolation. In cases like these, the use of genome-wide sequence data can increase the resolution to uncover a clade's evolutionary history. Here, we used a phylogenomic approach to study the evolutionary history and genetic structure of the Variable Seedeater superspecies complex, which includes <em>S. corvina,</em><em> S. intermedia,</em> and <em>S. americana</em>. Using ~25,000 genome-wide single nucleotide polymorphisms (SNPs), we confirmed that the Variable Seedeater superspecies complex is monophyletic. However, a phylogenetic reconstruction based on a mitochondrial marker (<em>ND2</em>) resulted in a discordant tree topology, particularly in the position of the Wing-barred Seedeater, <em>S. americana,</em> suggesting a possible mitochondrial capture event. Our results suggest historical gene flow among lineages, particularly between species with conflicting topologies. Among the four phenotypically variable <em>S. corvina</em> subspecies, our structure analyses identified three main distinct genetic groups (<em>K</em> = 3) and that the entirely black subspecies, <em>S. c. corvina</em>, is derived from within a pied-colored clade. Further, we inferred widespread gene flow across the whole species' distribution, including between subspecies. However, gene flow was about 20 times lower at the geographic boundaries of the entirely black and the pied subspecies, suggesting an important role for plumage divergence in limiting gene flow. Overall, our findings suggest that the early diversification of the <em>Sporophila</em> genus occurred rapidly despite historical gene flow between lineages and that divergence in plumage color possibly influences the extent of gene flow among taxa.</p>
VIC5 source code, parameter for the Colorado River Basin and USBR natural flow data records
<p>This parameter file is for VIC5 baseline simulation over the Colorado River basin.</p> <p>The spatial resolution is 1/16 degree.</p> <p>A few extra grid cells in the Mexico near the boarder is also unnecessarily included, which do not drainage to the CRB.</p> <p>Users can get rid of those pixels with a more precise domain mask.</p> <p>Also include VIC source code (see the readme.txt in the zipped file for details)</p> <p>The updates in Sep, 2022 includes the natural flow dataset used in the study for VIC streamflow evaluation</p>
Data for: A persistent submesoscale frontal slick: A novel marker of the mesoscale flow field in a large lake (Lake Geneva)
<p><strong>This study provides the first evidence of the evolution of a frontal slick in Lake Geneva, a large, deep lake in western Europe. Our results rely on field measurement, remote sensing data, and three-dimensional numerical modeling. The data presented here comprise:</strong></p> <p><strong>(1) measurements from an autonomous catamaran, including GNSS data, near-surface temperature profiles, weather station, near-surface Acoustic Doppler Current Profilers (ADCP), and RGB images from two onboard cameras,</strong></p> <p><strong>(2) infrared images from a FLIR camera attached to a helium-filled balloon, </strong></p> <p><strong>(3) time-lapse images from a shore-based imaging package provided slanted (non-perpendicular) field of views of the lake surface water,</strong></p> <p><strong>(4) Excitation Emission Matrix (EEM) using a Fluorescence Spectrometer for the Fluorescent Dissolved Organic Matter (FDOM) inside slick/non-slick samples, and</strong></p> <p><strong>(5) results of a 3D numerical simulation provided details of the lake hydrodynamics during the field measurement campaign.</strong></p> <p><strong>The three-dimensional model used in this study is based on the MIT General Circulation Model (MITgcm,<a href="http://mitgcm.org/"> http://mitgcm.org/</a>,<a href="https://doi.org/10.1029/96JC02775"> https://doi.org/10.1029/96JC02775</a>).</strong></p>
Supplementary material 2 from: Aketarawong N, Isasawin S, Sojikul P, Thanaphum S (2015) Gene flow and genetic structure of Bactrocera carambolae (Diptera, Tephritidae) among geographical differences and sister species, B. dorsalis, inferred from microsatellite DNA data. In: De Meyer M, Clarke AR, Vera MT, Hendrichs J (Eds) Resolution of Cryptic Species Complexes of Tephritid Pests to Enhance SIT Application and Facilitate International Trade. ZooKeys 540: 239-272. https://doi.org/10.3897/zookeys.540.10058
Component data at the four successive thresholds used to illustrate Figure 5: Explanation note: Component data are used to illustrate the structure of the subset of Bactrocera carambolae and Bactrocera dorsalis populations. The highest Betweenness-centrality is highlighted in blue.
Supplementary material 1 from: Aketarawong N, Isasawin S, Sojikul P, Thanaphum S (2015) Gene flow and genetic structure of Bactrocera carambolae (Diptera, Tephritidae) among geographical differences and sister species, B. dorsalis, inferred from microsatellite DNA data. In: De Meyer M, Clarke AR, Vera MT, Hendrichs J (Eds) Resolution of Cryptic Species Complexes of Tephritid Pests to Enhance SIT Application and Facilitate International Trade. ZooKeys 540: 239-272. https://doi.org/10.3897/zookeys.540.10058
Component data at the five successive thresholds used to illustrate Figure 4: Explanation note: Component data are used to illustrate the structure of the subset of Bactrocera carambolae populations. The Highest Betweenness-centrality is highlighted in blue.
Supplementary material 4 from: Aketarawong N, Isasawin S, Sojikul P, Thanaphum S (2015) Gene flow and genetic structure of Bactrocera carambolae (Diptera, Tephritidae) among geographical differences and sister species, B. dorsalis, inferred from microsatellite DNA data. In: De Meyer M, Clarke AR, Vera MT, Hendrichs J (Eds) Resolution of Cryptic Species Complexes of Tephritid Pests to Enhance SIT Application and Facilitate International Trade. ZooKeys 540: 239-272. https://doi.org/10.3897/zookeys.540.10058
Comparisons among three different the individual admixture plots: Explanation note: Comparisons among the individual admixture plots of 289 individuals, for K = 3, considering correlated allele frequency, uncorrelated allele frequency, and missing data as recessive homozygotes for the null alleles, respectively.
Supplementary material 3 from: Aketarawong N, Isasawin S, Sojikul P, Thanaphum S (2015) Gene flow and genetic structure of Bactrocera carambolae (Diptera, Tephritidae) among geographical differences and sister species, B. dorsalis, inferred from microsatellite DNA data. In: De Meyer M, Clarke AR, Vera MT, Hendrichs J (Eds) Resolution of Cryptic Species Complexes of Tephritid Pests to Enhance SIT Application and Facilitate International Trade. ZooKeys 540: 239-272. https://doi.org/10.3897/zookeys.540.10058
Component data at the four successive thresholds used to illustrate Figure 6: Explanation note: Component data are used to illustrate the structure of the subset of the Salaya5 strain and wild populations. The highest Betweenness-centrality is highlighted in blue.
Flow cytometry data of NEREA Augmented Observatory
<p>FCM sample were processed using a Becton-Dickinson FACSVerse flow cytometer, equipped with standard laser (488 nm) and filter set. Volumes were estimated using TruCount Beads run before every batch run or estimated from the volumetric count of the instrument.</p> <p> </p>
Data for Individual and combined impacts of carbon dioxide enrichment, heatwaves, flow velocity variability and fine sediment deposition on stream invertebrate communities
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Erosion data of debris flows on banks with herbaceous plants
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Rock-magnetic, paleomagnetic and multimethod paleointensity data from the Pliocene Khaveti lava flow sequence in Georgia
<p><span>The folder “1 Rock magnetic data Khaveti.zip” contains data in .txt format of IRM acquisition curves (extension .irm), hysteresis curves (extension .hys), backfield curves (extension .coe) and thermomagnetic magnetisation versus temperature curves (extension .rmp) obtained on Pliocene volcanic rocks from a lava flow sequence in the Lesser Caucasus in Georgia . Measurements were performed in the paleomagnetic laboratory of the University of Burgos (Spain). Columns are separated by tabs. Data can be visualised and analysed with the </span><span>RockMagAnalyzer 1.0 software (Leonhardt, 2006).</span></p> <p><span>The folder “2 Paleomagnetic data Khaveti.zip” contains paleomagnetic thermal and alternating field demagnetisation data obtained on Pliocene volcanic rocks from a lava flow sequence in the Lesser Caucasus in Georgia. Measurements were performed in the paleomagnetic laboratory of the University of Burgos (Spain). Data are in .txt format with the extension .rs3. Columns are separated by empty spaces. Data can be visualised and analysed with the </span><span>Remasoft software (Chadima and Hrouda, 2006).</span></p> <p><span>The folder “3 Paleointensity data Khaveti Thellier_Coe.zip” contains two folders with paleointensity determination data obtained with the Thellier-Coe method on Pliocene volcanic rocks from the Khaveti lava flow sequence in the Lesser Caucasus in Georgia. The two folders Thellier_Coe Khaveti_down and Thellier_Coe Khaveti_up contain paleointensity determination data obtained respectively in the 14 lower and 14 upper flows of the sequence. Experiments were carried out in the <em>Paleomagnetics and Magnetic Materials Laboratory</em> of the University of Hawai’i at Manoa. Data from each flow have been put in an own folder, and are in .txt format with the extension .tdt separated by tabs. Data can be visualised and analysed with the </span><span>ThellierTool software (Leonhardt et al.,2004).</span></p> <p><span>The folder “4 Paleointensity data Khaveti Multispecimen.zip” contains two folders with paleointensity determination data from Pliocene volcanic rocks from the Khaveti lava flow sequence in the Lesser Caucasus in Georgia. These data were obtained with</span><span> the multispecimen method (Biggin and Poidras, 2006; Dekkers and Böhnel, 2006; Fabian and Leonhardt, 2010). The folder MS_Morelia contains determinations carried out at <em>Laboratorio Interinstitucional de Magnetismo Natural</em>, Instituto de Geofísica, Unidad Michoacán, UNAM, Mexico. The folder MS_Burgos contains determinations carried out at the paleomagnetic laboratory of the University of Burgos. All files are Excel files, and each one corresponds to a single sample subjected to multispecimen analysis. Data can be visualised and analysed with the VBA based software tool “MSP-Tool” (Monster et al.,2015) directly included in each one of the sample </span><span>files.</span></p> <p> </p> <h3><strong><span>REFERENCES</span></strong></h3> <p> </p> <p><span>Biggin, A., Poidras, T., 2006. First-order symmetry of weak-field partial thermoremanence in multi-domain ferromagnetic grains. 1. Experimental evidence and physical implications. Earth Planet. Sci. Lett. 245, 438–453. doi:10.1016/j.epsl.2006.02.035</span></p> <p><span>Chadima, M. and Hrouda, F., 2006. Remasoft 3.0 a user friendly paleomagnetic data browser and analyzer. <em>Travaux Géophysiques</em>, XXVII, 20-21.</span></p> <p><span>Dekkers, M.J., Böhnel, H.N., 2006. Reliable absolute palaeointensities independent of magnetic domain state. Earth Planet. Sci. Lett. 248, 507–516. doi:10.1016/j.epsl.2006.05.040</span></p> <p><span>Fabian, K., Leonhardt, R., 2010. Multiple-specimen absolute paleointensity determination: An optimal protocol including pTRM normalization, domain-state correction, and alteration test. Earth Planet. Sci. Lett. 297, 84–94. doi:10.1016/j.epsl.2010.06.006</span></p> <p><span>Leonhardt, R., Heunemann, C. and Krása, D., 2004. Analyzing absolute paleointensity determinations: Acceptance criteria and the software ThellierTool4.0. <em>Geochem. Geophys. Geosyst.</em>, Vol. 5, no. 12, doi.: 10.1029/2004GC000807.</span></p> <p><span>Leonhardt, R., 2006. Analyzing rock magnetic measurements; The RockMagAnalyzer 1.0 software.<em>Computers and Geosciences</em>, 32, 1420-1431.</span></p> <p><span>Monster, M.W.L., de Groot, L. V., Dekkers, M.J., 2015. MSP-Tool: A VBA-Based Software Tool for the Analysis of Multispecimen Paleointensity Data. Front. Earth Sci. 3, 1–9. https://doi.org/10.3389/feart.2015.00086</span></p>
Data for Autonomous Flow Routing for Near Real-Time Quality of Service Assurance
<p>Data of the journal paper:</p> <p>S. Barzegar, M. Ruiz and L. Velasco, "Autonomous Flow Routing for Near Real-Time Quality of Service Assurance," in IEEE Transactions on Network and Service Management, vol. 21, no. 2, pp. 2504-2514, April 2024, doi: 10.1109/TNSM.2023.3339201 (<a href="../records/10246061" target="_blank" rel="noopener">link to the paper</a>)</p> <p>This dataset has been generated within the framework of the European Commission thought the HORIZON SNS JU DESIRE6G (G.A. 101096466), the MINECO UNICO5G TIMING (TSI-063000-2021-145) and the MICINN IBON (PID2020-114135RB-I00) projects, and from the ICREA Institution. (2023-12-05).</p> <p>Additional details and updates can be checked in the following <a href="https://doi.org/10.34810/data1404" target="_blank" rel="noopener">link</a></p>
Reconstructing Blood Flow in Data-Poor Regimes: A Vasculature Network Kernel for Gaussian Process Regression
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International Brain Laboratory public data
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