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- Titel:
ScalarFlow: A Large-Scale Volumetric Data Set of Real-world Scalar Transport Flows
- Dokumenttyp:
- Forschungsdaten
- Verantwortlich:
- Thuerey, Nils
- Autorinnen / Autoren:
- Eckert, Marie-Lena ; Um, Kiwon ; Thuerey, Nils
- Institutionszugehörigkeit:
- TUM
- Herausgeber:
- TUM
- Enddatum der Datenerzeugung:
- 01.10.2019
- Fachgebiet:
- DAT Datenverarbeitung, Informatik
- Quellen der Daten:
- Simulationen / simulations
- Datentyp:
- Datenbanken / data bases
- Beschreibung:
- This archive contains space-time reconstructions of buoyant hot plumes. The data is intended for machine learning, vision and graphics applications.
- Links:
- Schlagworte:
- Fluid Simulation; Navier-Stokes; Deep Learning; Computer Graphics; Computer Vision
- Technische Hinweise:
- 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 - Sprache:
- en
- Rechte:
- by-nc-sa, http://creativecommons.org/licenses/by-nc-sa/4.0
- Horizon 2020:
- ERC StG 637014
BibTeX