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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  • CREATE: Multimodal Dataset for Unsupervised Learning and Generative Modeling of Sensory Data from a Mobile Robot

    The CREATE database is composed of 14 hours of multimodal recordings from a mobile robotic platform based on the iRobot Create.

  • 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.  Results and final presentations are expected to be made at the Boston (Cambridge) event, December 9, 2017.  NOTE: EVENT IS STILL ON AS SCHEDULED DESPITE WEATHER. 

  • 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.

  • 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.

  • 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.

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IEEE DataPort hosts all types of datasets and all data owners are encouraged to upload their datasets without cost. The goal is to provide a sustainable platform to all data owners so datasets can be stored and retrieved at any time to support your research and/or research of other technical experts. Need help? View detailed instructions on uploading a dataset.

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