By Joseph Paul Cohen, Founder and Director, Institute for Reproducible Research.
Academic Torrents is a platform for researchers to share data. It consists of two pieces: a site where users can search for datasets, and a BitTorrent backbone which makes sharing data scalable and fast. The goal is to facilitate the sharing of datasets amongst researchers. It was created by the Institute for Reproducible Research (a U.S. 501(c)3 non-profit).
The site provides access to over 15TB of data including popular machine learning datasets such as all of UCI, Imagenet, and Wikipedia. Though some of these datasets are available elsewhere, Academic Torrents stitches multiple hosting locations together so downloading is much faster and also fault-tolerant. For downloaders there are no sign-up or verification processes in the way, and the collection is more comprehensive than anywhere else. Many datasets such as Netflix, where the original hosting location is no longer avaliable, are made available using Academic Torrents.
As data gets bigger, peer-to-peer file transfer becomes increasingly attractive, since it is the only way distribution scales with the number of users. Academic Torrents currently facilitates the transfer of over 900 GB/day and over 30000 users/monthly.
Visit : http://academictorrents.com/