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5,371 results for “Flow”
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>
The dataset of "Characteristics of Urban Interaction Network in Shandong Province from the Perspective of Traffic Flow and Information Flow"
<p>There are the datasets of the research named "Characteristics of Urban Interaction Network in Shandong Province from the Perspective of Traffic Flow and Information Flow".</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>
Planetary core-style rotating convective flows in paraboloidal laboratory experiments
<p><span>Turbulent convection in a planet's outer core is simulated here using a thermally-driven free surface paraboloidal laboratory annulus. We show that the rapidly rotating convection dynamics in free-surface paraboloidal annuli are similar to those in planetary spherical shell geometries. Three experimental cases are carried out, respectively, at 35 revolutions per minute (rpm), 50 rpm and 60 rpm.Thermal Rossby waves are detected in full</span><span> disk thermographic images of the fluid's free surface.</span> <span>Ultrasonic flow velocity measurements reveal the presence of multiple azimuthal (zonal) jets, with successively more jets</span><span> forming in higher rotation rate cases.</span> <span>The jets' cylindrical radial extent is well ap</span><span>proximated by the Rhines scale.</span> <span>Over time, the zonal jets migrate to larger radial po</span><span>sition with migration rates in good agreement with prior theoretical estimates.</span> <span>Our re</span><span>sults suggest that planetary core rotating convection will be comprised of flow structures found</span><span> in other turbulent geophysical fluid dynamical systems:</span> <span>convective turbulence dom</span><span>inates the small-scale flow field, and also act to flux energy into larger-scale, slowly evolv</span><span>ing zonal flow structures.</span> <span>How the ambient magnetic fields in planetary core settings af</span><span>fect such turbulent flows remains an open question.</span></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>
Dataset for modelling the apparent von Kármán parameter in thermally and sedimentologically stratified air flows
<p>The dataset is used to support the article titled as "Modelling the apparent von Kármán parameter in thermally and sedimentologically stratified air flows" by the same authors. There are two spreadsheets in the datasheet.xlsx file. The first one is the 5-min block averaged data derived from the measurements by a meterologoical tower. The second one is the sand transport and saltation sensor data derived from a number of 5-10 min measurements by sand trap stacks and a Sensit.</p> <p><strong>1. Description for Spreadsheet "Tower Data":</strong></p> <p> Date: Data collection date</p> <p>Run_number: the run number counting from the start of the experiment. Measurements were taken for 5 min for each run.</p> <p>UA1: resultant wind speed (m/s) measured by a 2D ultrasonic anemometer at 0.19 m above the bed</p> <p>UA2: resultant wind speed (m/s) measured by a 2D ultrasonic anemometer at 0.49 m above the bed</p> <p>UA3: resultant wind speed (m/s) measured by a 2D ultrasonic anemometer at 0.76 m above the bed</p> <p>UA: resultant wind speed (m/s) measured by a 3D ultrasonic anemometer at 1.49 m above the bed</p> <p>R_square: the R<sup>2</sup> value for log-linear curve fitting between wind speed measured by ultrasonic anemometers and elevation</p> <p>R_f: flux Richardson number R<sub>f</sub></p> <p>u_star: shear velocity u<sub>*</sub> (m/s)</p> <p>zeta: stability parameter ζ</p> <p>phi_m: dimensionless wind shear Φ<sub>m</sub></p> <p>kappa_a: apparent von Kármán parameter κ<sub>a</sub></p> <p>KE: KE values measured by Sensit</p> <p>Q: Calculated sediment transport rate Q ( g m<sup>-1</sup> s<sup>-1</sup>) using KE-Q relationship described in spreadsheet "Trap data"</p> <p> </p> <p><strong>2. Description for Spreadsheet "Trap Data":</strong></p> <p>KE: KE values measured by Sensit</p> <p>Q: sediment transport rate Q ( g m<sup>-1</sup> s<sup>-1</sup>) measured by sand traps</p> <p>The figure with regression equation describes the relationship between KE and Q.</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.
Dataset for Bike Flow Prediction with Multi-Graph Convolutional Networks, Chai et al. (https://github.com/Di-Chai/GraphCNN-Bike/)
<p>This is contains the preprocessed, and raw data used to run the replication package from: <br>https://github.com/Di-Chai/GraphCNN-Bike/</p>
Diffusion rates for GRL manuscript "Red line diffusion-like auroras driven by time domain structures associated with braking magnetotail flow bursts"
<p>This dataset in MATLAB files provide electron bounce-averaged pitch-angle diffusion rates due to scattering by time domain structures and whistler-mode waves, as pertinent to the manuscript submission to the Geophysical Research Letters (doi: 10.1029/2024GL109000), titled "Red line diffusion-like aurora driven by time domain structures associated with braking magnetotail flow bursts". </p> <p>Please cite the original GRL manuscript when using TDS-driven diffusion rates from this dataset for your research.</p>
A Hydrodynamic-Based Physical Unified Modeling for Simulating Shallow Landslide Local Failures, Mass Release and Debris Flow Run-out Extent Behavior
<p>Simulation results for manuscript "A Hydrodynamic-Based Physical Unified Modelling Framework for Simulating Shallow Landslide Local Failures, Mass Release and Debris Flow Run-out Extent Behaviour", submitted to Water Resources Research.</p>
A Hydrodynamic-Based Physical Unified Modeling for Simulating Shallow Landslide Local Failures, Mass Release and Debris Flow Run-out Extent Behavior
<p>Simulation results for manuscript "A Hydrodynamic-Based Physical Unified Modelling Framework for Simulating Shallow Landslide Local Failures, Mass Release and Debris Flow Run-out Extent Behaviour", submitted to Water Resources Research.</p>
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
Open the record for dataset details and reuse information.
Fig. 2 in A phylogenetic investigation of the taxonomically problematic Eucalyptus odorata complex (E. section Adnataria series Subbuxeales): evidence for extensive interspecific gene flow and reticulate evolution
Fig. 2. Neighbour-net networks of E. odorata complex taxa and co-occurring members of E. section Adnataria created in Splitstree V.4 using uncorrelated-P distances of SNPs generated by A. ddRADseq and B. DArTseq. Tips are coloured by species, with shapes used to distinguish different major groups: E. series Hetereophloiae (inverse triangles), E. series Melliodorae (hexagons), E. series Buxeales (triangles), the grey-box taxa (diamonds), mallee members of E. series Subbuxeales not in the E. odorata complex (squares), and the E. odorata complex (circles) coloured consistent with Fig. 1.
Landscape features influencing gene flow and connectivity of an endangered passerine
<p>Effective exchange of individuals among populations (i.e. gene flow) is one crucial aspect to maintain genetic diversity and viability of populations, especially in the case of threatened species. Landscape composition and structure may facilitate or limit individual movement within and among populations. We used a landscape genetics (LG) approach to assess the connectivity patterns of the threatened Dupont's lark (<em>Chersophilus duponti duponti</em>), considering their genetic patterns and the landscape features associated with its gene flow in Spain. We analysed genetic structure and relatedness based on 11 species-specific polymorphic microsatellites on 416 Dupont's lark individuals sampled across peninsular Spain between 2017 and 2019, covering most of the European distribution of the species. To assess the relationship between the landscape configuration and the species gene flow, we estimated genetic distance at the individual level (<em>Dps</em>). Next, we built a set of environmental surfaces from two time points (1990 and 2018), based on factors (land use and topography) influencing individuals' movement. We then obtained resistance surfaces from an optimization process on landscape variables, and LG analyses were done for single and composite surface models for each year separately. Our findings from both time points demonstrate, for the first time, that scatter or mosaic structured vegetation composed by low agricultural and tree cover and high presence of sclerophyllous shrubs favoured Dupont's lark dispersal, while dense and continuous tree cover, as well as areas of intensive agriculture, were limiting factors. Our results suggest the importance of steppe habitat patches both for the species establishment and dispersal. Besides, our results provide key information to develop specific conservation measures, including focusing on conserving and restoring steppe habitats as scattered and/or mosaic structured vegetation that could warrant the connectivity and persistence of Dupont's lark populations.</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.