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- Document type:
- Forschungsdaten
- Responsible:
- Thuerey, Nils
- Authors:
- Eckert, Marie-Lena ; Um, Kiwon ; Thuerey, Nils
- Author affiliation:
- TUM
- Publisher:
- TUM
- Title:
- ScalarFlow: A Large-Scale Volumetric Data Set of Real-world Scalar Transport Flows
- End date of data production:
- 01.10.2019
- Subject area:
- DAT Datenverarbeitung, Informatik
- Resource type:
- Simulationen / simulations
- Data type:
- Datenbanken / data bases
- Description:
- This archive contains space-time reconstructions of buoyant hot plumes. The data is intended for machine learning, vision and graphics applications.
- Links:
- Key words:
- Fluid Simulation; Navier-Stokes; Deep Learning; Computer Graphics; Computer Vision
- Technical remarks:
- View and download (540,6 GB total, 108 files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1521788):
rsync rsync://m1521788@dataserv.ub.tum.de/m1521788/
Data format: numpy arrays (npz), 104 data sets, each with 100x178x100 cells for 150 time steps, input images are 1080x1920 - Language:
- en
- Rights:
- by-nc-sa, http://creativecommons.org/licenses/by-nc-sa/4.0
- Horizon 2020:
- ERC StG 637014
BibTeX