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5,371 results for “Flow”
Data set 1 for CARBON AND GENE FLOW MEDIATED BY VIRUS LIFE
<p>Experimental data sets used for manuscripts associated with coccolithovirus infection of <em>Emiliania huxleyi</em>. Flow cytometry data; expression data of genes associated with photophysiology, fatty acid metabolism and sulphur cycling.</p> <p>Please contact Willie Wilson (wilwil@sahfos.ac.uk) for further information.</p> <p> </p>
Data set 2 for CARBON AND GENE FLOW MEDIATED BY VIRUS LIFE
<p>Experimental data sets used for manuscripts associated with coccolithovirus infection of <em>Emiliania huxleyi; </em>and grazing of virus-infected <em>Emiliania huxleyi. </em>Data includes: Flow cytometry; photophysiology, carbon/nitrogen, fatty acid metabolism, sulphur cycling and cell volume.</p> <p>Please contact Willie Wilson (wilwil@sahfos.ac.uk) for further information.</p>
flow_stations_sel1366
ESRI Shapefile of gauging stations used to produce E-HYPE flow signature data.
Po River daily river flows 1920-2009
Time series of the Po River Daily river flows at Pontelagoscuro from Jan 1st 1920 to Dec 31st 2009. Data are in cubic meters per second. Observations taken on Feb 29th have been removed.
Flow-Guided Warping for Image-Based Shape Manipulation
<p>Dataset relative to the following publication:</p> <p>Vergne, R., Barla P., Bonneau, G.-P. and R. W. Fleming (2016). Flow-Guided Warping for Image-Based Shape Manipulation. <em>ACM Transactions on Graphics (Proceedings of SIGGRAPH 2016), 35(4)</em>: 93.</p> <p>Each folder contains *.mat files with the data from the experiments presented in Figure 12 of the article (Experiment 1: cg results, Experiment 2: photo results) and a text file with comments.</p>
Fully-coupled pressure-based finite-volume framework for the simulation of fluid flows at all speeds in complex geometries (Supporting Data)
<p>This data accompanies the paper "Fully-coupled pressure-based finite-volume framework for the simulation of fluid flows at all speeds in complex geometries", published in Journal of Computational Physics (2017), http://dx.doi.org/10.1016/j.jcp.2017.06.009.</p>
US Water Network Observed and Inferred Flows
<p>This dataset provides a synthesized national record of river gauges. It includes inferred flows which are based on the structure of the river network and empirical flow relationships. In total, the network contains 22619 gauges (or virtual junction gauges) and over 1 million years of monthly data.</p> <p>The dataset is provide as a saved data file for R, flowdata.RData, containing two variables: nodes and allflow.</p> <p>`nodes` describes each gauges or virtual junction gauge in the water flow network, representing a combination of gauges from multiple sources. The source is specified by the `collection` column, as follows:</p> <ul> <li>`rivdis`: From the RivDIS dataset, at http://iridl.ldeo.columbia.edu/SOURCES/.UNH/.CSRC/.RivDIS/index.html?Set-Language=en</li> <li>`usgs`: GAGES II river gauge</li> <li>`reservoir`: National Inventory of Dams reservoir</li> <li>`usgsres`: USGS gauged reservoir</li> <li>`canal`: Canal cross county boundaries</li> <li>`junction`: Junction node added to capture the structure of rivers from HydroSHEDS</li> </ul> <p>The `colid` specifies the ID of the gauge within its collection, and combined `collection` and `colid` are unique. The location of the gauge is specified by the latitude `lat` and longitude `lon`. The elevation is provided in meters in column `elev`.</p> <p>The flow data is contained in the `allflow` matrix. This matrix has a column for each node (as many columns as there are rows in `nodes)`, and a row for each month starting from Jan. 1915. All the flows are in units of m^3 / s.</p>
Climatic-oceanographic controls on Amundsen Sea productivity and bottom flow evolution since 280 ka
<p>Understanding the mechanisms regulating productivity and bottom flow variability in the Amundsen Sea is vital for constraining cryosphere-climate feedbacks in the South Pacific Seasonal Sea Ice Zone. To enhance our comprehension of the mechanisms underlying productivity variations in this region, we present an extensive set of multi-proxy records from gravity core ANT36/A3-08 (LATITUDE: -69.02 and LONGITUDE: -120.06), retrieved from the southernmost upwelling boundary of the modern Circumpolar Deep Water in the Amundsen Sea.</p> <p>Surface productivity is reconstructed using a suite of biogeochemical proxies, including Ti-normalized bromine, biogenic opal, total nitrogen, and excess barium normalized to Ti. These proxies reflect marine biogenic export production and nutrient cycling. Bottom flow strength is inferred from sedimentological and geochemical indicators such as mean sortable silt, sortable silt percentage, zirconium-to-rubidium, and zirconium-to-aluminum ratios.</p>
Understanding Near-Ground Tornado Flows - Pressure, Shear and Turbulence, and their Importance in Structural Loading
<h1>Dataset Description</h1> <p>The research focuses on the velocity and pressure field of the near-ground region within one of the Wind Engineering, Energy, and Environment (WindEEE) Dome's tornadic-like flow simulations. This research also aims to provide valuable insight in the behaviour between tornado-building interactions. Measurement regions of interest range from the apparent centre of the tornado-like flow structure extending beyond twice the radius of maximum tangential velocity.</p> <p>Two vortex cases were simulated and measured:</p> <p>(1) TV0 - a stationary vortex where the bell mouth (updraft centre) aligns with the centre of the test chamber, and</p> <p>(2) TV1 - a vortex translating for a distance of 4.5 m at a nominal translation speed of about 1-1.2 m/s.</p> <div> <h2>S0. Documentation</h2> <p>Contains information documents regarding the instrumentation specifications, test plan, and other important diagrams.</p> <div> <h2>S1. Near-Ground Flow Model</h2> </div> <div> <p>TV0 and TV1 simulations were tested at the WindEEE Dome testing facility. Velocity measurement devices were used to characterize simulated vortex's horizontal flow field at heights of 3.2, and 7.2. Pressure measurement devices were used to characterize the vortex's ground surface pressure. These measurements aim to provide data for more accurate tornado wind field models.</p> <h3>E1. Near-Ground Velocity Field</h3> <p>During this test, 3-D point measurements were taken to aid in characterizing TV0 and TV1 simulations. Measurements were taken at locations R = 0, 60 and 105 cm measured perpendicularly from the bell mouth's path of translation. Two heights and four point positions were captured at each location. These measurements aim to provide detailed characteristics of the wind field.</p> <h3>E2. Ground Surface Instantaneous Pressure Field</h3> <p>A ground surface pressure model covering an area of 120 cm by 300 cm was used to characterize the ground pressure distribution of simulations: TV0 and TV1. Instantaneous pressure measurement devices captured the flow distribution throughout a 2-D grid of pressure taps mounted flush with the ground surface panels.</p> <div> <h2>S2. Low-Rise Building Model</h2> </div> <div> <p>A 3:12 roof slope, 1:100 scale, low-rise building model was instrumented with external surface pressure taps and tested under TV0 and TV1 flow simulations at WindEEE. The low-rise building model was measured in locations R = 0, 60, and 105 cm measured perpendicularly from the bell mouth translation pat, and at azimuth angles 0, 45, and 90 degrees relative to the path of the bell mouth.</p> <h3>E1. Low-Rise Building Aerodynamics</h3> <p>The effects of stationary and translating vortices on a low-rise building model were investigated.</p> <h2>S3. Small-Portable Temporary Building Model</h2> <div> <p>A temporary low-rise building was instrumented with external surface pressure taps and tested under TV0 and TV1 flow simulations at WindEEE. The small-portable building model of size 1.2 cm by 1.2 cm by 3.2 cm (1:70 scale) and ground surface model covering 120 cm by 300 cm. The small-portable building was measured in locations R = 0, 60, and 105 cm measured perpendicularly from the bell mouth translation path.</p> <h3>E1. Small-Portable Temporary Building Aerodynamics</h3> <p>The effects of stationary and translating vortices on a small-portable building model were investigated.</p> <div> <h2>S4. Near-Ground Particle Image Velocimetry (PIV)</h2> </div> <div> <p>A Continuum laser was focused and split through a cylindrical lens into a thin laser sheet, fog machines were used to seed the entire test chamber with long lasting fog fluid, and finally synchronized high-resolution cameras (flares) were used to capture laser light refraction. Flares send image data to the DVR Express Cores during test measurements. This PIV system was used to measure the horizontal velocity field of simulations: TV0 with an approximate total coverage of 80 cm by 240 cm.</p> <h3>E1. Near-Ground Horizontal Velocity Field</h3> <p>The PIV system was used to measure the 2-D velocity field at a height of 7.2 cm from the chamber floor. The plane of measure covers regions from the tornado-like flow's apparent centre to beyond the region of maximum tangential velocity.</p> <h3>E2. Low-Rise Building Wake Aerodynamics</h3> <p>A low-rise building model was measured at the centre of the test chamber, subject to the tornado vortex TV0. The model was made black to absorb energy and light from the PIV laser. The PIV system was used to measure the 2-D velocity field at a height of 7.2 cm from the chamber floor.</p> <p> </p> <p><strong>Note: </strong>Due to storage limitations we cannot include the entire PIV raw dataset, however data can be made available apon request. Please email the project contact person or the hosting instution (<a href="https://windeee.ca/contact/">Contact – WindEEE Research Facility</a>) for information or access to the complete dataset. </p> </div> </div> </div> </div> </div>
Splits and Checkpoints for Equivariant Flow Matching for Conformer Generation
<p>Split files and checkpoints for our paper, "Equivariant Flow Matching for Conformer Generation". For more details on how to use this pre-processed data, refer to `https://github.com/shenoynikhil/ETFlow/`</p>
Dataset for "Mapping Water Flow Pathways in the Fengjiaping Landslide Using Self-Potential and Electrical Resistivity Tomography"
<p>This dataset includes soil temperature, moisture, and electrical conductivity measurements taken at a depth of approximately 50 cm, as well as the digital elevation model, electrical resistivity tomography, and self-potential data used in the manuscript "Mapping Water Flow Pathways in the Fengjiaping Landslide Using Self-Potential and Electrical Resistivity Tomography" submitted to <em>Comptes Rendus Geoscience</em>.</p>
Experimental dataset referring to: Non-intrusive temperature measurements for transient freezing in laminar internal flow using laser induced fluorescence
<p>This data set corresponds to the paper 'Non-intrusive temperature measurements for transient freezing in laminar internal flow using laser induced fluorescence. Please cite this paper when using this data. </p><p>The following conditions are included (for both the inlet and the centre of the channel):</p><p>Re = 474, T_in,set = 0.5</p><p>Re = 474, T_in,set = 5.0</p><p>Re = 474, T_in,set = 10.0</p><p>Re = 474, T_in,set = 15.0</p><p>Each folder includes the original two-color LIF ratio-metric data and the temperature recordings of the cold-plate as well as the inlet, outlet temperatures and the flow rate (TData). The header for the recordings is included in the main dataset which may be used to navigate the columns and select the relevant data.</p><p> </p>
Data from: Gene flow and isolation in the arid Nearctic revealed by genomic analyses of desert spiny lizards
<p>The opposing forces of gene flow and isolation are two major processes shaping genetic diversity. Understanding how these vary across space and time is necessary to identify the environmental features that promote diversification. The detection of considerable geographic structure in taxa from the arid Nearctic has prompted research into the drivers of isolation in the region. Several geographic features have been proposed as barriers to gene flow, including the Colorado River, Western Continental Divide, and a hypothetical Mid-Peninsular Seaway in Baja California. However, recent studies suggest that the role of barriers in genetic differentiation may have been overestimated when compared to other mechanisms of divergence. In this study, we infer historical and spatial patterns of connectivity and isolation in Desert Spiny Lizards (<em>Sceloporus magister</em>) and Baja Spiny Lizards (<em>S. zosteromus</em>), which together form a species complex composed of parapatric lineages with wide distributions in arid western North America. Our analyses incorporate mitochondrial sequences, genomic-scale data, and past and present climatic data to evaluate the nature and strength of barriers to gene flow in the region. Our approach relies on estimates of migration under the multispecies coalescent to understand the history of lineage divergence in the face of gene flow. Results show that the <em>S. magister</em> complex is geographically structured, but we also detect instances of gene flow. The Continental Divide is a strong barrier to gene flow, while the Colorado River is more permeable. Analyses yield conflicting results for the catalyst of differentiation of peninsular lineages in <em>S. zosteromus</em>. Our study shows how large-scale genomic data for thoroughly sampled species can shed new light on biogeography. Furthermore, our approach highlights the need for the combined analysis of multiple sources of evidence to adequately characterize the drivers of divergence.</p>
Data from: Predator-driven behavioral shifts in a common lizard shape resource-flow from marine to terrestrial ecosystems
<p>We conducted a field experiment to assess foraging niche dynamics of semiarboreal brown anole lizards in the presence/absence of predatory ground-dwelling curly tailed lizards in a replicated set of island ecosystems. Data used in this study includes ecological infomration for the replicated islands of study (i.e. relative arthropod and seaweedabundances) together with phenotypic data of the lizards studied (body mass, size, body condition, as well as behavioral traits describing risk-taking behavior) as well as habitat use data and marine component of diet as a surrogate of the diet of these lizards. One year after experimental translocation, brown anoles exposed to these predators increased perch height and reduced consumption of marine-derived food resources. We also use this dataset to investigate if this foraging niche shift altered marine-to-terrestrial resource-flow dynamics and persisted in the diets of the first-generation offspring. Finally, we also assessed if lizards that displayed more risk-taking behaviors consumed more marine prey on islands with predators present.</p>
Highland islands: assessing gene flow among populations of an aquatic highland endemic
<p>A variety of hierarchical gene flow models have been proposed to explain the distribution of genetic variation in aquatic environments. These models, including the Stream Hierarchy (SH), Death Valley (DV), Headwater (HW), and Widespread Gene flow (WG) models, provide testable hypotheses that focus on the degree of within-basin or within-stream network connectivity and an organism's dispersal abilities. We tested these models using <em>Tlaloc hildebrandi</em> (Profundulidae, Cyprinodontiformes), a freshwater fish endemic to the highlands of the Grijalva and Usumacinta River basins in southern Mexico. Data from ultraconserved elements (UCEs) showed that although <em>T. hildebrandi</em> was recovered as monophyletic, the sub-basins were not. We generated single nucleotide polymorphisms from the UCEs to analyse the data in a population genetic framework. These results differed between analyses such that two (STRUCTURE analysis) or three (DAPC analysis) genetic groupings were recovered. Overall, the results of this study provide support for the SH model. Some individuals from the Jataté sub-basin, however, conformed to the HW model, due to historical connections among headwater streams and rivers of the Jataté and Amarillo–Chenalhó clades/clusters. The greatest degree of gene flow has occurred from the Grijlava to the Usumacinta basins, two geographically proximate basins that have been hypothesized to have had previous connections.</p>
CONSORT flow diagram for The assessment of educational and supportive care to the infertile females undergoes In Vitro Fertilization procedure by clinical pharmacist: a randomized clinical trial
<p><strong>The assessment of educational and supportive care to the infertile females undergoes In Vitro Fertilization procedure by </strong>a <strong>clinical pharmacist: a randomized clinical trial</strong>.</p>
Multi-modal phantom experiments, mimicking flow through the mitral heart valve
<p>In this repository all experimental data obtained from a phantom study on the left heart, including a deformable mitral valve, is reported. Using invasive catheter pressure measurements, magnetic resonance imaging and ultrasound imaging, several parameters relevant to diagnosing heart valve disease were measured on the phantom. The data is reported in MS excel files (xlsx format) and the geometry of the phantom is reported in STL and STEP file format, together with an exploded view, indicating how the parts are put together.</p>
Mapping and modelling global mobility infrastructure stocks, material flows and their embodied greenhouse gas emissions - Data
<p>Dynamics of societal material stocks such as buildings and infrastructures and their spatial patterns drive surging resource use and emissions. Building up and maintaining stocks requires large amounts of resources; currently stock-building materials amount to almost 60% of all materials used by humanity. Buildings, infrastructures and machinery shape social practices of production and consumption, thereby creating path dependencies for future resource use. They constitute the physical basis of the spatial organization of most socio-economic activities, for example as mobility networks, urbanization and settlement patterns and various other infrastructures. </p><p>The data in this repository show the material stocks contained in global mobility infrastructure networks at the country-level and mapped at 5arcmins, as well as country-level estimates of material flows for maintenance, replacement and expansion of those infrastructures, and the associated GHG emissions from materials production. This repository contains all data as shown in figures of the article, including the GeoTIFF files for figure 3, and the supplementary data file containing full country-level results.</p><p><strong>Data</strong><br>This dataset includes the following data:</p><ul><li>Global maps of material stocks in mobility infrastructure networks at 5 arcmins, separate for all roads, all rail-based infrastructure, as well as in total and per capita</li><li>Global country-level material stock estimates for mobility infrastructures</li><li>Global country-level estimates of material flows and associated GHG emissions for materials production</li><li>Material intensity in mass per area of road (kg/m²) per road type</li><li>Material intensity in mass per area of railway track (kg/m²) per railway type</li><li>Material intensity in mass per area (kg/m²) per bridges and tunnels</li></ul><p>Material intensity factors are available for iron and steel, concrete, asphalt, aggregate (sand & gravel), timber, and other.</p><p><strong>Further information</strong><br>This dataset complements the following scientific article:</p><p>Wiedenhofer, Dominik, André Baumgart, Sarah Matej, Doris Virág, Gerald Kalt, Maud Lanau, Danielle Densley Tingley, u. a. "Mapping and Modelling Global Mobility Infrastructure Stocks, Material Flows and Their Embodied Greenhouse Gas Emissions". <i>Journal of Cleaner Production</i>, November 2023, 139742. <a href="https://doi.org/10.1016/j.jclepro.2023.139742">https://doi.org/10.1016/j.jclepro.2023.139742</a>.</p><p>For further information please see the publication. You can also contact Dominik Wiedenhofer <a href="mailto:dominik.wiedenhofer@boku.ac.at">dominik.wiedenhofer(a)boku.ac.at</a> and visit our <a href="https://boku.ac.at/understanding-the-role-of-material-stock-patterns-for-the-transformation-to-a-sustainable-society-mat-stocks">website</a> to learn more about our project: <i>MAT_STOCKS - Understanding the Role of Material Stock Patterns for the Transformation to a Sustainable Society.</i></p><p><strong>Funding</strong><br>This research was funded by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (MAT_STOCKS, grant agreement No 741950). </p>
Dataset of paper "Wavelength synergistic effects in continuous flow-through water disinfection systems"
<p>Dataset of paper "Wavelength synergistic effects in continuous flow-through water disinfection systems"</p>
Effect of salinity on flows of dense colloidal suspensions
<p>Dataset for the article "Effect of salinity on flows of dense colloidal suspensions".</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.