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8 results for “power-law”
Data from: Ecological tradeoffs drive a power-law relationship between group size and population density in social foragers
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Data from: Exploiting nozzle geometry to predict resolution in extrusion-based bioprinting: mathematical modelling of a power-law fluid
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Non-Newtonian Power-law fluid simulations in rectangular channel
<h1>Velocity distribution in rectangular channel for Power law fluid.</h1> <p>Using viscosity: eta(x)=K*(x/gamma0)^(n-1)/gamma0</p> <p>Solved the PDE equation: https://doc.comsol.com/5.5/doc/com.comsol.help.comsol/comsol_ref_equationbased.23.008.html<br>in rectangular channel in COMSOL with<br>c=eta(sqrt(d(u,x)^2+d(u,y)^2), f=0.013333333 [Pa*s]<br>e_a, d_a, alpha, beta, gamma=0<br>gamma0=1[1/s]<br>Boundary conditions on x=0, y=0, x=witdh, y=height is u=0</p> <p>Output file contains: Coordinates X, Y [mm] on triangular grid and Velocity u [m/s]</p> <p>File specific parameters:<br>"H2O_100x096.txt" - n=1, K=0.013333333 [Pa*s], height=1 [mm], width=0.96 [mm]<br>"10pFBS_37C_100x115.txt" - n=0.5, K=0.00541540444218501 [Pa*s], height=1 [mm], width=1.15 [mm]<br>"10pFBS_097x092.txt" - n=0.32, K=0.00541540444218501 [Pa*s], height=0.97 [mm], width=0.92 [mm]</p>
Quantitative evaluation of mantle flow traction on overlying tectonic plate: Linear versus power-law mantle rheology
<p>Dataset for <strong>Quantitative evaluation of mantle flow traction on overlying tectonic plate: Linear versus power-law mantle rheology</strong></p>
data and codes for paper "Understanding power-law photoluminescence decays and bimolecular recombination in lead-halide perovskites"
<p>These are the data and Matlab codes used in the paper "Understanding power-law photoluminescence decays and bimolecular recombination in lead-halide perovskites".</p>
Raw data for the article 'Revisiting power-law distributions in empirical outage data of power systems'
<p>Raw data for the article 'Revisiting power-law distributions in empirical outage data of power systems' (see the manuscript preprint https://arxiv.org/abs/2303.12714 for more details).</p>
On the Identification of Power-Law Creep Parameters from Conical Indentation
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Machine learning for buildings' characterization and power-law recovery of urban metrics
<p>We focus on a critical component of the city: its building stock, which holds much of its socio-economic activities. In our case, the lack of a comprehensive database about their features and its limitation to a surveyed subset lead us to adopt data-driven techniques to extend our knowledge to the near-city-scale. Neural networks and random forests are applied to identify the buildings’ number of floors and construction periods’ dependencies on a set of shape features: area, perimeter, and height along with the annual electricity consumption, relying on a surveyed data in the city of Beirut. The predicted results are then compared with established scaling laws of urban forms, which constitutes a further consistency check and validation of our workflow.</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.