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5,371 results for “Flow”
Data (in spreadsheet format) from numerical studies of Maxwellian flow interaction with oblique collisionless shocks
<p>Data generated in the numerical study of how a Maxwellian velocity distribution of ions interacts with an oblique collisionless shock modelled as a planar surface.</p>
Discrete Flow Cytometry of Underway Samples from TN413 Using a BD Influx Cell Sorter
<p>The dataset consists of BD Influx-based analysis of phytoplankton populations from discrete flow cytometry data collected underway during the University of Washington School of Oceanography 2023 undergraduate senior thesis cruise (TN413) oceanographic research cruise from Hawaii to Fiji. The data consists of cell abundance, cell size (equivalent spherical diameter), carbon quota, and carbon biomass for picophytoplankton populations, namely the cyanobacteria Prochlorococcus and Synechococcus, and small eukaryotic phytoplankton (<5 μm ESD). Time is in UTC format, latitude and longitude are in decimal degrees, and depth is in meters. Further information can be found here: https://github.com/fribalet/FCSplankton</p>
Dataset of velocities of dry granular flows in a partially obstructed tilted chute
<p>The dataset presented here corresponds to data collected in an experimental campaign on dry granular flows, in which one experiment was repeated 31 times. The experimental campaign was performed in a 1.5 m length facility sloping at 20 degrees, where a volume of granular material was released from an upstream gate and trapped through a vertical obstruction in the downstream area of the channel, simulating slit dam conditions.</p> <p>The experiments carried out presented the following characteristics: a) uni-sized polystyrene particles (d=1.8mm); b) 3 litres volume of particles and c) the obstruction used had a double distance from the chute lateral walls of twice the diameter of the particles. Images from the experiments were collected by means of one high-speed camera located at the downstream part of the channel with a target frame rate of 300 frames per second and an exposure time of 200µs. </p> <p>The collected data was processed and filtered by means of Matlab algorithms aiming the assembly of a along-chute (u) and wall-normal (w) velocity ensemble database for the total time evaluated of 437 frames.</p> <p> </p>
Effects of submerged flexible vegetation on scalar transport in an open-channel flow
<p>The data were used in the paper "Effects of submerged flexible vegetation on scalar transport in an open-channel flow" which was submitted to "Water Resources Research".In this paper, a 3D numerical model simulating scalar transfer in water flow with flexible submerged vegetation is established. The effects of vegetation on enhancing the scalar transfer and the selection of turbulent Schmidt number are investigated by numerical simulations.</p>
Density Functional Theory and Machine Learning for Electrochemical Square-Scheme Prediction: An Application to Quinone-type Molecules Relevant to Redox Flow Batteries
<p>The uploaded data contains (i) "<strong>01_Data</strong>" optimized molecular structure in XYZ format and the primary attributes and SMILES, (ii) "<strong>02_Datasets</strong>" datasets used in the publication, and (iv) "<strong>03_pynb_script</strong>" a Jupyter-Notebook. The <strong>01_Data </strong>directory contains more than 8000 subdirectories. Each is for a molecule that undergoes a two-proton two-electron transfer reaction. In each subdirectory, one finds the following files:</p> <p>(1) directories named corresponding to the ones in Figure 1 of the paper. Inside each, there are geometries and properties in XYZ and CSV format, respectively.</p> <p>(2)<strong> "freeEnergy.dat" </strong>contains the free energy of different states.</p> <p>(3) <strong>"schemesquare.dat" </strong>has the parameters of the electrochemical scheme of square representation.</p> <p>├── A<br> │ ├── info.csv<br> │ └── pos.xyz<br> ├── A1-<br> │ ├── info.csv<br> │ └── pos.xyz<br> ├── A2-<br> │ ├── info.csv<br> │ └── pos.xyz<br> ├── AH<br> │ ├── info.csv<br> │ └── pos.xyz<br> ├── AH1+<br> │ ├── info.csv<br> │ └── pos.xyz<br> ├── AH1-<br> │ ├── info.csv<br> │ └── pos.xyz<br> ├── AH2<br> │ ├── info.csv<br> │ └── pos.xyz<br> ├── AH21+<br> │ ├── info.csv<br> │ └── pos.xyz<br> ├── AH22+<br> │ ├── info.csv<br> │ └── pos.xyz<br> ├── <strong>freeEnergy.dat</strong><br> └── <strong>schemesquare.dat</strong><br> ******************************************************<br> The new version (v1.1) contains some updates around:<br> (i) The DFT calculations workflow in a folder called "<strong>04_workflow_of_DFT</strong>"</p> <p> The Gaussian input files have been explained in the "README" file.</p> <p>(ii) The Python scripts for data extraction have been added and can be found in "<strong>05_how_to_extracted_data</strong>"</p> <p>(iii) We explained how to compute the Purbaix diagram in great detail "<strong>06_how_to_compute_Pourbaix_diagram</strong>/"</p> <p>All these changes/improvements were applied/made following the Referee of Digital Discovery Journal. Here, we would like to thank him/her.</p>
Transient Injection of Flow: How Torn and Bent Subducting Slabs Induce Unusual Mantle Circulation Patterns near a flat slab
<p>This repository provides the input (.prm) files for the paper "Transient Injection of Flow: How Torn and Bent Slabs Induce Unusual Mantle Circulation Patterns near a flat slab".</p>
54019- Instream Flow Protection: SE- Phase 18
<p>Streamflow data associated with AKSSF Project 54019- Instream Flow Protection: SE- Phase 18</p>
Stress and frequency dependence of wave velocities in saturated rocks: an acoustoelasticity-squirt flow model
<p>These data are the P- and S-wave velocities obtained by Ba et al. through ultrasonic experimental measurements and the seismic measurements on a rock sample at different pressures.</p> <p>In the package of data, wave velocities measured at different pore fluids and frequencies are saved as different XLSX files. The title of each XLSX file includes the sample number, saturation condition and measurement frequency. For instance, “Sample D_Seismic_Brine” denotes that wave velocities of sample D measured with the full brine saturation are measured at seismic frequency, while “Sample D_Ultrasonic_Gas” denotes that wave velocities of gas-saturated sample D are measured at ultrasonic frequency. The package also includes the TXT file of sample properties.</p> <p>In the TXT files of seismic measurements, the first column gives the differential pressure values, the second column gives frequency values, the third and fourth column gives P- and S-wave velocities. In the TXT files of ultrasonic measurements, the first column gives the differential pressure values, the second and third column gives P- and S-wave velocities.</p>
Data for the "Hydrodynamic response of channel flow confluence to the tributary floodplain topography"
<p>These are data for the manuscript named "Hydrodynamic response of channel flow confluence to the tributary floodplain topography“. If you have any qusetion about the data, please contact us.</p>
SSIMS-Flow paper: supplementary data
<p>Supplementary data in support of the SSIMS-Flow paper in Environmental Modeling and Software journal, containing:</p> <ol> <li>SSIMS-Flow and PIVlab data and project files,</li> <li>Additional showcase examples,</li> <li>Snapshot of the SSIMS-Flow version used in the paper.</li> </ol>
Respiration and CO2 evasion dynamics in moving streambeds as a response to flow regimes
<p>This dataset contains both raw and processed data utilized in generating the findings outlined in our research paper titled "Respiration and CO2 Evasion Dynamics in Mobile Streambeds in Response to Different Flow Regimes," which has been submitted to the Journal of Hydrology. Additionally, within this dataset, you will find a collection of movies that are part of our Supporting Information.</p> <p>Within this dataset, you will find a sub-dataset for all nine experimental runs. These experimental runs encompass three distinct flow regimes: a constant flow regime (C), a sinusoidal flow regime (S), and a single peak flow event (F). Each of these flow regimes was conducted three times as repeated measurements (RM).</p> <p>The data subsets contain:</p> <ol> <li> <p>Raw infrared images captured at the sediment-water interface using an infrared camera.</p> </li> <li> <p>A selection of raw infrared images that correspond to the optode images obtained from our optode camera.</p> </li> <li> <p>Preprocessed optode images captured by the optode camera.</p> </li> <li> <p>The original raw planar optode images.</p> </li> <li> <p>A supplementary text file containing essential data information.</p> </li> </ol> <p>Furthermore, the dataset encompasses raw data files related to surface water chemistry data and measurements of CO<sub>2</sub> air concentration and pressure. Also it contains datafiles with all results used in the publication.</p> <p>In the Supporting Information folder, you will find Movies S1 through S18, which visually illustrate the sediment's movement and the dynamic variations in O<sub>2</sub> and CO<sub>2</sub> concentrations within the sediment.</p>
FIGURE 1. Rhododendron mingii A. Flowing branch. B in Rhododendron mingii (Ericaceae), a new species from Southeast of Yunnan, China
FIGURE 1. Rhododendron mingii A. Flowing branch. B. Close-up view of leaf blade abaxial surface. C. Gynoecium. D. Stamens. E. Opened corolla. F. Habit. (A–E drawn by Y. Luo from the holotype).
Data for "Impact of time-dependent data assimilation on ice flow model initialization and projections: a case study of Kjer Glacier, Greenland"
<p>Data for the main figures for "Impact of time-dependent data assimilation on ice flow model initialization: A case study of Kjer Glacier, Greenland"</p>
Supplementary Materials of "Understanding flow characteristics from tsunami deposits at Odaka, Joban coast, using a DNN inverse model" by Mitra, Naruse and Abe
<p>This is a supplementary figures for the manuscript entitled "Understanding flow characteristics from tsunami deposits at Odaka, Joban coast, using a DNN inverse model" submitted to NHESS.</p>
Data of sap flow, tree size, soil water conditions and meteorology from Finland
<h3>Overview</h3><p>This data set includes the records of stem size at breast height, sap flow, soil water conditions and meteorology of/near two Scots pine (<i>Pinus sylvestris</i>) trees (named 'Pentti' and 'Sylvi') at Hyytiälä, Finland (61.8°N, 24.3°E). The data have been used in Liu <i>et al.</i> <i>Carbon source and sink limitations on boreal trees' cambial growth: implications of a coupled stomatal and growth model</i> (submitted to <i>New Phytologist</i> in October 2023). The Data Collector (Che Liu, University of Helsinki) collected the original data from SmartSMEAR (https://smear.avaa.csc.fi/) and processed to the current format and temporal resolution.</p><h3>Meanings (and units) of the columns</h3><h4>Sheet "tree_stats" </h4><ul><li>DBH, diameter at breast height (cm)</li><li>Asw, sapwood area (m^2)</li><li>H, tree height (m)</li></ul><h4>Sheets "Pentti_30min" and "Sylvi_30min"</h4><ul><li>DOY, day of the year</li><li>RBH, change of radius of breast height (mm), measured using the point dendrometer (AX-5 Solartron Metrology) and with thermal expansion corrected. The dendrometers were moved at the beginning of each year.</li><li>SFD, sap flow density at breast height (mol H2O m^{-2} sapwood s^{-1}), measured using the thermal dissipation method.</li><li>T_air, air temperature (°C)</li><li>Precip, rainfall (mm)</li><li>RH, relative humidity (%)</li><li>VPD, vapour pressure deficit (Pa)</li><li>D, VPD converted to mol H2O m^{-3} air using the ideal gas law</li><li>PPFD, photosynthetic photon flux density (mol m^{-2} s^{-1}), measured using Li-Cor Li-190SZ quantum sensor over the canopy (35 m high).</li><li>T_soil, soil temperature (°C) of the B horizon (10-30 cm deep)</li><li>SWC, soil water content (m^3 m^{-3}) of the B horizon (10-30 cm deep), measured using Delta-T ML3.</li></ul>
MarTREC Data Set for Report: Developing and Applying an Analysis Methodology to Identify Flow Generation Influences between Vessel and Truck Shipments
<p>Truck activity is logically connected to vessel activity at a port. In turn, vessel activity is also influenced by truck shipments. Although one might expect a direct and straightforward relation between these two types of shipments, that is rarely the case. For instance, many maritime containers carry consolidated cargos that have multiple and different final destinations. Also, different truck capacities, customs clearance and regulations play a critical role in determining the actual relation between these two types of shipments. This project aims at shedding light on the nuances of maritime and roadway flow relations by quantitatively analyzing the linkages between these two types of shipments.</p> <p>The study performed a statistical analysis to determine the probability distributions of vessel and truck activity, and then explore the correlation of each activity with the other. The analysis yielded coefficients that function as explanatory values for specific truck flows.</p> <p>The ultimate purpose of this study is to provide a clearer and quantitative understanding of the relationship between maritime and truck shipments, and by doing so, to provide tools to develop a system for managing trucks that maximizes efficiency for industry, while minimizing industry’s negative impacts on a region.</p> <p>For this purpose, the study selected the Port Freeport as a case study.</p>
Feasibility Study of Phase-contrast MRI for Flow in the External Carotid Branches Arteries
ClinicalTrials.gov study NCT02829190. IPD Sharing: Not stated. Countries: 1. Publications: 19.
Aberrations in Carnitine Homeostasis in Congenital Heart Disease With Increased Pulmonary Blood Flow
ClinicalTrials.gov study NCT01825369. IPD Sharing: Not stated. Countries: 1. Publications: 15.
Predictive Value of Flow MRI in Normal Pressure Hydrocephalus Surgery
ClinicalTrials.gov study NCT01815775. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Comparison of the Effects of High, Low and Minimal Flow Anesthesia Managements on ORI and Partial Oxygen Pressure
ClinicalTrials.gov study NCT05329233. IPD Sharing: YES. Countries: 1. Publications: 3.
ScienceDex guides
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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.