For this semester, we'll be focusing on finding and evaluating software for exploratory scientific visualization. The data types below can be used in your project and tutorials. Please add more data types and examples as you find them. Be sure to document any data you add to this page in your journal.
For an abbreviated list of common data types, a brief definition of each type, and recommended/feasible software to use with each type, please see the Software Recommendations by Data Type page.
Please note: many of the following files are very large (we're talking up to around a hundred MB for some of these)! Additionally, this page is a continual work in progress. The categories of data are not exhaustive and are listed in no partincular order, so be prepared for the page to be somewhat messy.
2D Image Data
Description: 2D array of data values that can be reduced to an RGB image before viewing or interactively during viewing.
Simple Animals (from Felice Frankel at MIT)
Cell Image Library - 2D images of many different types of cells
Electron Microscopy Public Image Archive (EMPIAR)
Lots of 2D microscopy data
3D Vector Field or Flow Data
Description: A magnitude and direction at each more in 3D space. Can be 3D flow. Can be time-varying.
Vibrating Cylinder Flow - George Karniadakis and Zhicheng Wang
Building Downwash Simulations
Point Cloud Data
Description: data that represents a collection of points in 2D or 3D space.
las files: Lidar data comes comes in many forms, however, las files are one of the most popular Lidar data formats. An las file is a binary file which contains point cloud data, stored as X, Y, Z coordinates, and a header which contains file metadata, RGB information, GIS information, and many other optional fields. For more detailed information on las files, see the official las specification.
Sample NEONDS Sample LiDAR Point Cloud Data:
Sample Velodyne .pcap files:
City of Montreal, Canada LiDAR
http://donnees.ville.montreal.qc.ca/dataset/lidar-aerien-2015 (note that this page is written in French)
Point Cloud Visualization Software:
Point Cloud Processing Software:
Tutorial on Python-PCL
Tutorial on Converting .las files to .out files: Laspy Tutorial
Tutorial on Lidar Paraview to Blender
Tutorial on viewing .pcap files in Veloview.
(T) signifies whether a particular software package has been tested; ($) signifies license required.
Planetary Geology Imaging Data
Description: This might be an amalgam of different data types, including collections of stars, collections of galaxies, outward-looking imagery (as from a telescope), or inward looking imagery (as from a satellite of a planet). Some such data is 2D imaging data, but with a particular underlying space, e.g., Earth, the moon, or Mars.
GIBS is a database of satellite imagery data collected by NASA JPL; the database supports an extensive REST API, however, it can be somewhat complicated to use.
GIBS returns satellite data in the form of tiles or maps (in Mercator projection)
Earthdata is a massive database of atmospheric, land, and ocean data operated by NASA
OpenSpace software views some kinds of data of these types, and it has the potential to generalize to more. It almost runs in the Yurt and does run on desktops and HMD's.
MRI Imaging Data
Description: MRI imaging data comes in many forms, often depending on the type of MRI machine utilized when scanning a patient. Two of the most common MRI data formats are NIfTi and DICOM. Luckily, most MRI processing software can easily convert between these two formats, so we will focus on visualizing and processing only NIfTi files. For an in-depth comparison between NIfTi and DICOM, see Medical Imaging Formats.
Brain Tumor Segmentation Challenge (BRATS) - BRATS is a comprehensive MRI brain tumor data set comprised of 243 MRI scans, expertly labeled based on tumor pathology.
Alzheimer's Disease Neuroimaging Initiative (ADNI) - ADNI contains a collection of over 3000 MRI scans of Alzheimer's patients, captured over several years and with varying MRI scanners.
Note that both the BRATS and ADNI data sets are not public and must be requested.
Human brain functional MRI and DTI visualization with virtual reality: an in-depth overview of VR visualization of MRI data.
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS): an overview of the BRATS data set.
Medical Imaging Formats: a comprehensive comparison of the most popular MRI data formats.
CLARITY Brain Imaging
CT Brain imaging
Probably the easiest social media API to use; clearly defined data types and properties (just Tweets associated with users and their info)
Access Tweets in realtime; filter by many different properties
Access previous Tweets for other types of analysis
Apply for Twitter Developer tools here
2012 US election tweets - Microsoft Research
Daily geolocated tweets - Microsoft Research
Citation network dataset
Contains citation data extracted from Microsoft Academic Graph and other academic databases
DIMACS Shortest Path Challenge - Center for Discrete Mathematics and Theoretical Computer science
Graph data that models distances between many major U.S. towns and cities (23,947,347 nodes)
US Flight Data (1990 - 2009)
Polygonal Model Data
Description: 3D data stored as polygonal meshes
Found in many 3D file extensions that hold 3d data points: OBJ, DAE, FBX, etc
Programs that use and view polygonal model data that could be YURT usable:
Unity, Blender, Unreal, Paraview
Unlikely to be YURT usable:
Maya, Adobe Dimension
YURT Supernova (from Elaine Jiang)
World Vector Shorelines
Surface model of the world's shorelines
City of Adelaide 3D Model
Open City Model
Description: Data that captures various genetic information such as variances in genome sequences, DNA sequences, and other genetics information
Genome variant calls of chromosome 22 - Microsoft Research
Description: Output from cameras with proximity sensors contain an extra channel for depth. Its value ranges from 0-255 just like color. It is often visualized alone as grayscale.
https://sumochallenge.org has output from a 360º scan around a room
Description: Open standard format that outlines standards for using JSON file to represent geographical data.
Visualization Tools: VR-Viz
Outline of Brazilian States
Map of Streets and Terrain Types of the entire world