 So we're demonstrating NITRIC here today. NITRIC is the Neuroimaging Informatics Tools and Resources Clearing House. It's an NIH contracted resource that we also work very closely with the INCF to provide information about every resource known to humankind that is of utility for structural, functional, and neuroimaging types of applications. So NITRIC has three aspects to it, one of which is a resource registry, and that's what you get to when you go to NITRIC.org. From here you can find some late-breaking news about the community. You can jump off to some of the resources with particular keywords if you want to find all the software that does shape analysis. There's a jump-off place right there to go to that will show you the 12 different resources that claim to do shape analysis. Each resource has a standard description about what it does, where to download it, where the documentation is, and lots of standard information. The network's a little slow here, so it clicked and worked right away. But you get to a page that would have all the different resources that made that particular query. In addition to finding software, one can find hardware and data. Much of the data is released as tar, just bundled files together. We also recently have released the NITRIC IR, the NITRIC image repository, which is an XNAT-based database for some of the datasets that are released on NITRIC. So for example, instead of the abide, the autism imaging data exchange data being released as a bunch of tar files within NITRIC, you can find each of the individual subjects and query for subjects that meet a particular criteria, and then just download those subjects much more easily than extracting them out of the tar file releases that they have. The last element of NITRIC at the moment, which in some future video I'll be able to show you, is the NITRIC CE, the computational environment. The idea here is NITRIC Healthy Find Software, NITRIC IR Healthy Find Data. Once these software gets complex and the data gets large, you don't necessarily always want to process that at home. You'd like to use the Amazon Elastic Cloud computing in order to have a standard software release with standardized data and run all this image processing in that Amazon environment. That gives you access to high-performance computing without the troubles of knowing too much about how to set that up is a good way to deliver high-performance computing to all of the neuroscience community. So that's kind of the short introduction. Feel free to go to nitric.org or email nitricinfo at nitric.org to get all the information you want.