To all. I am currently preparing a university text on visualization and it would be very helpful to obtain relevant scientific data sets to support the data visualization section in my book. Also I am open to receiving well-designed visualizations (data or info vis) to potentially include as examples in my book . In case anyone is interested in the ideas and philosophy of my work,, the `blueprint' for my book is the publication: Brian J. d'Auriol, Engineering Insightful Visualizations, Journal of Visual Languages and Computing, Vol. 37, pp. 12-28, Dec. 2016, DOI: 10.1016/j.jvlc.2016.10.001 I include specific details of my request below. Thanks for your time. Best. Brian
Brian J. d'Auriol, Ph.D.
1. I will need either a declaration that releases the submissions into the public domain or an explicit copyright permission for publication of the submission and derivative works in the text with the understanding that I will likely transfer the copyrights to the publisher. There will likely be related workbooks, tutorials, and other associated materials as well.
2. I would like a suitable worded acknowledgement text, something like, image by permission of so and so or by courtesy of so and so.
1. Scientific 3D (xyz, curvyspace, etc) data sets suitable for typical contouring, isosurface, flow vector, etc. visualizations. Things like energy, thermal, temperature, etc. distributions across a grid would be fine. Also, it would be extremely helpful if the data set supported some important identification like crystal faults detected by non-uniform energy distribution, or metal stress regions detected by thermal distributions. Please take into account that my book is about visualization and not the science, so simplistic is better. At the same it needs to be interesting and accurate to appeal to readers in the sciences.
2. I can do the visualizations myself, likely, I would use AVS/Express or paraview for this.
3. I would like these data sets to be used as a running example in my book and associated tutorials.
4. The size should be small but sufficient, the example I had used in my journal publication consisted of energy distributions of 1200 atoms, so I think 1000~4000 grid points would be suitable.
5. Important! I also need a brief scientific description of the data set (i.e. meta data) together with a brief description of the science background about the data set. I intend to reword these descriptions because I want to fit the discussion into the ideology and philosophy of my work.
1. I am open to considering example visualizations (images / animation / video) to be included into my book in one of two contexts: A) an an example to support a theoretical concept, B) as an example of a visualization technique. Tree and graph-based visualizations would be very helpful in this regard.
2. Important! I also need a brief description of science (application area) about the visualization. I intend to reword these descriptions because I want to fit the discussion into the ideology and philosophy of my work.
I wonder if anyone is doing genome seq visualizations. if so, I would like visualizations of Hepatitis C virus isolate BB16474 NS5 gene, GenBank: AY769711.1 https://www.ncbi.nlm.nih.gov/nuccore/AY769711.1?report=genbank
Many years ago I had published some visuals about this and it may be interesting to make comparisons. Suggestions are welcomed.
thanks so much for reading this far.
Not sure if this could help you. But I have been working a lot on using data science to solve mathematical problems. In essence the "data set" that I used was the set of real numbers (free, and infinite - you can choose samples of any size.) Some of this stuff led to interesting visualizations. You can check these articles (usually it has spreadsheets with visus and data attached to them) at https://www.datasciencecentral.com/profiles/blogs/my-data-science-m...
In reading your post the following came to mind, from the work that we are doing on the material science front:
OQMD - Open Quantum Materials Database
ICSD - Inorganic Crystal Structure Database
NANOPOROUS MATERIALS GENOME CENTER
LSMO - Laboratory of molecular simulation
The Materials Project
Hope that helps.