Welcome to IEEE Dataport

IEEE DataPort™ is an easily accessible repository of datasets, including Big Data datasets.  IEEE DataPort™ is designed to make storage of datasets easier, provide access to valuable datasets across a broad scope of topics, facilitate analysis of datasets, and retain referenceable data for reproducible research.

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  • IEEE Brain Data Bank Competition - Boston, MA

    This is the last in a series of challenges and competitons sponsored by IEEE Brain Initiative in 2017 that explore various brain/neuro datasets.  You are cordially invited to register and participate in this competition.  Results and final presentations are expected to be made at the Boston (Cambridge) event, December 9, 2017.

  • IEEE Brain Data Bank Challenge - Glasgow, Scotland

    Terabytes of brain EEG data are available through open sources, collected from tests associated with human cognitive capability, stroke patient recovery, class learning ability, and other social environments, over a wide range of demographics. Some also play with stimulus such as audio, music, video, lights and digital games. 

  • A SAR ship dataset for detection, discrimination and analysis

    Synthetic Aperture Radar is a monitoring solution which is especially well fitted to maritime surveillance. The large swath widths, time-independent, weather resistant observations can be very useful for the detection of ships typically invisible to other forms of monitoring.

  • GRSS SAR/PolSAR DATABASE

    Remote sensing of environment research has explored the benefits of using synthetic aperture radar imagery systems for a wide range of land and marine applications since these systems are not affected by weather conditions and therefore are operable both daytime and nighttime.

  • Source Separation for Simultaneous Seismic Data Acquisition

    This is the data competion hosted by the IEEE Machine Learning for Signal Processing (MLSP) Technical Committee as part of the 27th IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2017), Tokyo, Japan. This year the competion is based on a dataset kindly provided Petroleum Geo-Systems (PGS), on source separation for seismic data acquistion. 

  • Tracking Neurons in a Moving and Deforming Brain Dataset

    Advances in optical neuroimaging techniques now allow neural activity to be recorded with cellular resolution in awake and behaving animals.  Brain motion in these recordings pose a unique challenge. The location of individual neurons must  be tracked in 3D over time to accurately extract single neuron activity traces. Recordings from small invertebrates like C.