{"url":"/dataset/cylinder-in-crossflow","name":"Cylinder in Crossflow","full_name":null,"description_markdown":"**Cylinder in Crossflow** is a synthetic dataset that involves unsteady laminar flow past a cylinder that generates vortex\r\nshedding pattern known as a von Kármán vortex street. The governing equations for\r\nthis system are the incompressible Navier-Stokes equations. The cylinder\r\nhas a diameter of 1 and the free stream velocity is 1. The kinematic viscosity $\\nu$ is\r\nvaried such that the Reynolds number is between 100 and 400. Symmetry boundary conditions are applied at the top and bottom edges of the domain and an open pressure boundary condition is applied at the outlet. Solutions are generated on the\r\nunstructured mesh of 6384 quad elements.","description_withheld":null,"homepage":"https://doi.org/10.7910/DVN/G5MNYF","introduced_date":"2020-06-11","introduced_date_note":null,"introduced_by":{"paper":"/paper/enabling-nonlinear-manifold-projection","title":"A Tailored Convolutional Neural Network for Nonlinear Manifold Learning of Computational Physics Data using Unstructured Spatial Discretizations","first_author":"John Tencer","url":null},"license":null,"modalities":[],"tasks":[{"name":"Graph Regression","url":"/task/graph-regression","datasets_with_task":"/datasets/task/graph-regression"}],"languages":[],"variants":["Cylinder in Crossflow"],"data_loaders":[],"num_papers_in_archive":2,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}