Before we are able to offer you access to the database, please agree to the following terms of use.
After approval, you (the "Researcher") receive permission to use the ScalarFlow database (the "Database") at the Technical University of Munich. ScalarFlow is published with a Creative Commons BY-NC-SA license. In exchange for being able to join the ScalarFlow community and receive such permission, Researcher hereby agrees to the license terms as given here:
http://creativecommons.org/licenses/by-nc-sa/4.0/If you use a dataset please use the following ScalarFlow citation to reference it:
@article{ScalarFlow2019, author = {Marie-Lena Eckert, Kiwon Um, Nils Thuerey}, title = {ScalarFlow: A Large-Scale Volumetric Data Set of Real-world Scalar Transport Flows for Computer Animation and Machine Learning}, journal={ACM Transactions on Graphics}, volume={38(6):239}, year={2019} }
After your request has been approved, we will send you the link to our download script. If you have any questions, please contact us under
scalarflow@googlegroups.com.