in4086 Data Visualization projects
- Work in teams of two students each. If you're good, you can opt to work by yourself.
Important: With all of your projects, the added value of the visualization should be clear. In other words, it should be convincingly clear why the visualization was made. Furthermore, your work or its extrapolation should either be a scientific contribution or sufficiently innovative for a high-tech product.
- Lab time on Monday mornings should generally be used for working on your project. However, this is not compulsory: You can make different arrangements with your lab partner.
To discuss life, visualization in general, or a specific idea or tool you're working with, make appointments with us in lab time via datavis@graphics.tudelft.nl
Also see the projects Frequently Asked Questions.
Project 1: Information Visualization
Project 2: Scientific Visualization
Project 3: Final project proposal
Project 4: Final project
Example datasets
The web is brimming over with juicy datasets. Here are some examples to get you started, but please do use google and your own network to find more. Pick something that you are passionate about!
The Guardian Data Blog is chock full of examples and datasets in easily edible formats.
Datasets listing of Berkeley's post-graduate visualization course.
Google Public Data Explorer has a growing list of datasets.
If you find more interesting collections, let us know at datavis@graphics.tudelft.nl
SciVis datasets are slightly harder to find, but there are still many resources!
Dr. Gordon Kindlmann's BRAIN! - this is a high-quality diffusion tensor imaging (DTI) dataset of Dr. Kindlmann's (famous DTI visualization researcher) brain. Using these tensors you could show glyphs, superquadric glyphs, tensor lines and much more.
Erlangen Volume Library - diverse datasets, including DTI.
OASIS - The Open Access Structural Imaging Series (OASIS): starting with 400 brain datasets.
Osirix DICOM datasets - a rich collection of high resolution radiology datasets all in DICOM format.
IEEE Visualization 2008 contest dataset - Very large multifield scalar time-dependent dataset.
IEEE Vis2004 contest dataset - this one is large, multi-variate and time-varying, but very interesting. There are 48 timesteps of 95 MBytes of data each. You could for example choose to do fewer timesteps, but this will definitely be quite a challenge. See Hurricanes Katrina and Isabel, for example
You will find computational fluid dynamics (CFD) datasets here and here. You can also find many CFD example visualizations by googling.
New data from Atmospheric simulations from Prof. Dr. Harm Jonker, in which we need insight in cloud formation (preferably in Paraview). Contact Gerwin de Haan for the data and more information.
Utah Scientific Computing Institute (SCI) CIBC datasets archive.
Example projects
Final projects of Prof. Agrawala's Visualization course at Berkeley. Extensive final projects, scale as required.
Final projects of Prof. Munzner's InfoVis course at UBC. Extensive final projects, scale as required.
The TUDelft Tribler system generates a wealth of bittorrent sharing data. The team had a MSc project for building real-time visualizations a while ago. There is a YouTube video and their datasets can be found here. You could do better
There is great interest from the Tribler team on doing better visualization, for example showing the trust-system. Contact us so we can put you into contact with Johan Pouwelse or Niels Zeilemaker from the Tribler team for further info. See our old lab exercises for more ideas for scientific visualization projects.