Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
73
datasets available to search
ShareScore release 0.9.0
Dataset results
73 results for “Vorticity”
Topological data analysis of vortices in the magnetically-induced current density in LiH molecule
<p>This is the accompanying data for the paper titled "Topological data analysis of vortices in the magnetically-induced current density in LiH molecule" by Malgorzata Olejniczak and Julien Tierny</p>
The code and mathematical derivation associated with "The role of random vorticity stretching in an idealized tropical depression genesis problem"
<p>1. The "SWE.rar" is the shallow water model (SWE).</p> <p>2. The "postprocess.rar" is the postprocessing code, include plottings and parameter estimation.</p> <p>3. The hand-written mathematical derivation of this paper is made with ONENOTE. It can be found at:</p> <p>https://office365stanford-my.sharepoint.com/:o:/g/personal/haofu_stanford_edu/El0w-3bEQABDnEVScJH6CK8BYVtxF33RzjmeZTbgaPyU-g?e=wae0Ra</p> <p>4. If there is any question or difficulty in downloading, please contact Hao Fu: haofu@stanford.edu</p>
Data from: Leading-edge vortices over swept-back wings with varying sweep geometries
Micro air vehicles are used in a myriad of applications, such as transportation and surveying. Their performance can be improved through study of wing designs and lift generation techniques including leading-edge vortices (LEVs). Observation of natural fliers, e.g., birds and bats, has shown that LEVs are a major contributor to lift during flapping flight, and the common swift (Apus apus) has been observed to generate LEVs during gliding flight. We hypothesize that non-linear swept-back wings generate a vortex in the leading-edge region, which can augment the lift in a similar manner to linear swept-back wings (i.e., delta wing) during gliding flight. Particle image velocimetry experiments were performed in a water flume to compare flow over two wing geometries: one with a non-linear sweep (swift-like wing) and one with a linear sweep (delta wing). Experiments were performed at three spanwise planes and three angles of attack at a chord-based Reynolds number of 26,000. Streamlines, vorticity, swirling strength, and Q criterion, were used to identify LEVs. The results show similar LEV characteristics for delta and swift-like wing geometries. These similarities suggest that sweep geometries other than a linear sweep (i.e., delta wing) are capable of creating LEVs during gliding flight.
Surface vorticity, convergence and surface miced layer depth from one-year LLC4320 simulation
Open the record for dataset details and reuse information.
Data for "Supercells and Tornado-like Vortices in an Idealized Global Atmosphere Model"
<p>Data used in a manuscript on supercells and tornado-like vortices, for submission to ESS.</p>
Data from: Leading-edge vortices over swept-back wings with varying sweep geometries
Open the record for dataset details and reuse information.
Data from: Smart wing rotation and trailing-edge vortices enable high frequency mosquito flight
Open the record for dataset details and reuse information.
Dataset for Lower-hybrid-drift vortices in the electron-scale magnetic reconnection layer
<p>Data for submission to the publication of the same title in Geophysical Research Letters.</p> <p>Subsets of the full simulation data from time slices used in the figures are stored as fields in the hdf5 files.</p> <p>Axes are stored as 'x', 'y', 'z'</p> <p> </p>
Global Observation-based LInear Vorticity Vertical Velocities (OLIV3) over vertical levels
<p>Observation-based Linear Vorticity Vertical Velocities (OLIV3) estimates from observation-based geostrophic velocities within the global themocline during the 1993-2019 period at annual frequency.</p> <p>The beta-plane geostrophic OLIV3 fields are computed following the indefinite depth-integrated geostrophic linear vorticity balance methodology described in <em>Cortés-Morales and Lazar, 2024, </em><em>Diego Cortés Morales, 2023 [thesis] and Cortés-Morales et al., (submitted) </em>applied to the ARMOR3D [<em>Mulet et al., 2013; https://data.marine.copernicus.eu/product/MULTIOBS_GLO_PHY_TSUV_3D_MYNRT_015_012</em>] geostrophic meridional velocities. The boundary condition used is the Ekman pumping vertical velocities computed from ERA5 wind stress [DOI: 10.24381/cds.f17050d7]. The velocity field is quality-flagged based on the relative error and interannual correlation coefficient between $w_g$ and $w_{tot}$ in an OGCM perfect model test (<em>Cortés-Morales et al., (submitted)</em>).</p> <p>----------------------------------------------------------------------------------------</p> <p>Geographical coverage: Global Ocean</p> <p>Grid and horizontal spatial resolution: Evenly spaced 0.25º grid</p> <p>Vertical levels: 50 levels from 0 to 5000 meters depth</p> <p>Temporal resolution: Annual (1993-2019)</p> <p>-----------------------------------------------------------------------------------------</p> <p>Variables:</p> <p>lon (2D): Longitude</p> <p>lat (2D): Latitude</p> <p>verlev(1D): Vertical level</p> <p>time (1D): Year</p> <p>w_oliv3 (4D): Beta-plane geostrophic vertical velocities</p> <p>flag_time_var (3D): Flag based on correlation coeffcient between geostrophic and total vertical velocties from OGCM</p> <p>flag_time_mean (3D): flag based on relative error between geostrophic and total vertical velocties from OGCM</p>
Data from Imaging and structure analysis of ferroelectric domains, domain walls, and vortices by scanning electron diffraction
<p><strong>Direct electron detectors in scanning transmission electron microscopy give unprecedented possibilities for structure analysis at the nanoscale. In electronic and quantum materials, this new capability gives access to, for example, emergent chiral structures and symmetry-breaking distortions that underpin functional properties. Quantifying nanoscale structural features with statistical significance, however, is complicated by the subtleties of dynamic diffraction and coexisting contrast mechanisms, which often results in low signal-to-noise and the superposition of multiple signals that are challenging to deconvolute. Here we apply scanning electron diffraction to explore local polar distortions in the uniaxial ferroelectric Er(Mn,Ti)O<sub>3</sub>. Using a custom-designed convolutional autoencoder with bespoke regularization, we demonstrate that subtle variations in the scattering signatures of ferroelectric domains, domain walls, and vortex textures can readily be disentangled with statistical significance and separated from extrinsic contributions due to, e.g., variations in specimen thickness or bending. The work demonstrates a pathway to quantitatively measure symmetry-breaking distortions across large areas, mapping structural changes at interfaces and topological structures with nanoscale spatial resolution.</strong></p>
Comparison of Vortic Catch V Basket Catheter and Ordinary Basket Catheter for the Removal of Bile Duct Stones
ClinicalTrials.gov study NCT05363345. IPD Sharing: NO. Countries: 1. Publications: 0.
Delft3D FM Simulation Data, Drone Observations, and Post-processing Scripts for Tidal Jet Vortices over Complex Bathymetry
Open the record for dataset details and reuse information.
Quantum vortices of strongly interacting photons
<p>Experimental data: We use a .csv file format for all data sets. File names follow the figure numbers in the main text, and each figure is associated with separate x-axis and y-axis files. Matlab .fig and .svg files are also included for all figures. </p> <ul> <li>fig_2.zip consists of the data for Figure 2A-C and the corresponding x-axis and y-axis vectors in separate files.</li> <li>fig_3.zip consists of the phi^3 data files and the corresponding x-axis and y-axis vectors for figures 3A-D. For fig_3D, the data needs to be reshaped with [length(yaxis_3D), length(xaxis_3D), length(zaxis_3D)]) to get the correct dimensions.</li> <li>fig_4.zip consists of the g^3 data files and the corresponding x-axis and y-axis vectors for figures 4A-F.</li> </ul> <p>Simulation: </p> <ul> <li>fig_2_full_simulation.nb is a Mathematica code of the simulation generating the results in Fig. 2C-E. </li> </ul>
ScienceDex guides
Understand access before you commit
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.