This dataset is called V62502060 printed steel parts aka “Monopoly Hotels” and is obtained from Robin Montoya (SIGMA-2). This XCT data contains CT images for the planar lack of fusion defects analysis and is collected by Michelle Espy (V-6) and her team.
Monopoly Dataset Overview
This dataset consists of 1000 records in a single HDF5 file generated from the simulation code available at: https://github.com/lezahlie/grayscott_simulation. More about the Gray-Scott model is explained here https://visualpde.com/nonlinear-physics/gray-scott.html.
DATASET: Gray-Scott reaction-diffusion
This dataset consists of 1000 records in a single HDF5 file generated from the simulation code available at: https://github.com/lezahlie/esp_simulation. This code implements Poisson’s equations for electrostatics and more can be read about it here: https://en.wikipedia.org/wiki/Poisson%27s_equation#Electrostatics.
DATASET: Poisson's Equations for Electrostatics
This dataset consists of 1000 records in a single HDF5 file generated from the simulation code available at: https://github.com/lezahlie/heat_diffusion_simulation. The specific heat equations implemented in that simulation are explained here https://visualpde.com/basic-pdes/heat-equation.html and here https://en.wikipedia.org/wiki/Heat_equation.
DATASET: Heat equations
To address the lack of an expansive dataset for multi-material shock propagation in the AI/ML community, we present the High-Explosives and Affected Targets (HEAT) Dataset. HEAT is a physics-rich collection of two-dimensional, cylindrically symmetric, simulations generated using an Eulerian, multi-material, shock-propagation code developed at Los Alamos National Laboratory. The dataset includes two partitions: (1) the expanding shock-cylinder (CYL) simulations, and (2) the Perturbed Layered Interface (PLI) simulations,
The High Explosives & Affected Targets (HEAT) Dataset
This dataset contains over 3,600 image files of images of a semiconductor manufactured part called 'Bowtie'. The data is grouped into 'accept' and 'reject' but does not contain masks for why the inspector rejected a part. There are further groupings such as different zoom magnifications, types of rejection (e.g. gouge, debris, etc.). Some of the parts have been laminated and are organized as such. For the 2nd round of data also included are Excel spreadsheets which can be used to identify position on the wafer where the images came from. The included PDF has example images and explains this in more detail.
Bowtie Manufacturing Images Data
Wildfire behavior is a result of complex nonlinear interactions between a variety of physical processes and chemical reactions. Understanding the coupling between these components and the ways in which their interactions are influenced by their surrounding environment (e.g. winds, fuels, and topography) is a challenging undertaking. The IEEE SciVis 2022 Contest is focused on the visualization and analysis of simulations of wildfires.
[SciVis 2022] Firectec VLS Data
Asteroids of various sizes, speeds, and compositions are zipping around the solar system with potential future Earth engagements. Most of the earth is covered in ocean and impacts would likely occur in deep ocean water. The IEEE SciVis Contest 2018 is dedicated to the visualization and analysis of simulations designed to study asteroid impacts in deep ocean water.
[SciVis 2018] Asteroid Impact Data