Authors’ multimedia video of VO2 patch with resistive heater electrically isolated by a thin SiO2 layer and increase in temperature (by Joule heating) inducing phase transition, observed by a change in color.

  • Communications
  • Last Updated On: 
    Tue, 12/31/2019 - 08:42

    This dataset was collected from the GPS sensor of "Xinda" autonomous vehicle in the Connected Autonomous Vehicles Test Fields (the CAVs Test Fields) Weishui Campus,Chang'an University.

  • Machine Learning
  • Last Updated On: 
    Fri, 12/06/2019 - 22:54

    The development of electronic nose (e-nose) for a rapid, simple, and low-cost meat assessment system becomes the concern of researchers in recent years. Hence, we provide time-series datasets that were recorded from e-nose for beef quality monitoring experiment. This dataset is originated from 12 type of beef cuts including round (shank), top sirloin, tenderloin, flap meat (flank), striploin (shortloin), brisket, clod/chuck, skirt meat (plate), inside/outside, rib eye, shin, and fat.

  • IoT
  • Last Updated On: 
    Fri, 12/06/2019 - 05:37


    This data is related to the article “On the Spectral Quality of Time-Resolved CMOS SPAD-Based Raman Spectroscopy with High Fluorescence Backgrounds” that have been submitted to the IEEE Sensors Journal.



  • Sensors
  • Last Updated On: 
    Mon, 12/02/2019 - 01:57

    We provide a large benchmark dataset consisting of about: 3.5 million keystroke events; 57.1 million data-points for accelerometer and gyroscope each; and 1.7 million data-points for swipes. Data was collected between April 2017 and June 2017 after the required IRB approval. Data from 117 participants, in a session lasting between 2 to 2.5 hours each, performing multiple activities such as: typing (free and fixed text), gait (walking, upstairs and downstairs) and swiping activities while using desktop, phone and tablet is shared. 


  • Artificial Intelligence
  • Last Updated On: 
    Thu, 01/02/2020 - 00:15


  • Sensors
  • Last Updated On: 
    Thu, 10/31/2019 - 00:12

    This study was conducted in Mayaguez – Puerto Rico, and an area of around 18 Km2 was covered, which were determined using the following classification of places:

    ·         Main Avenues: Wide public ways that has hospitals, vegetation, buildings, on either side

    ·         Open Places: Mall parking lots and public plazas

    ·         Streets & Roads: Dense residential and commercial areas on both sides

         Vendor             Equipment                  Description      

    KEYSIGHT®      N9343C                    Handheld Spectrum Analyzer

  • IoT
  • Last Updated On: 
    Sun, 10/27/2019 - 21:54

    7200 .csv files, each containing a 10 kHz recording of a 1 ms lasting 100 hz sound, recorded centimeterwise in a 20 cm x 60 cm locating range on a table. 3600 files (3 at each of the 1200 different positions) are without an obstacle between the loudspeaker and the microphone, 3600 RIR recordings are affected by the changes of the object (a book). The OOLA is initially trained offline in batch mode by the first instance of the RIR recordings without the book. Then it learns online in an incremental mode how the RIR changes by the book.

  • Artificial Intelligence
  • Last Updated On: 
    Mon, 11/04/2019 - 07:37

    Real sampled data of a moving vehicle is provided.

  • Sensors
  • Last Updated On: 
    Sat, 10/12/2019 - 12:40

    Multi-modal Exercises Dataset is a multi- sensor, multi-modal dataset, implemented to benchmark Human Activity Recognition(HAR) and Multi-modal Fusion algorithms. Collection of this dataset was inspired by the need for recognising and evaluating quality of exercise performance to support patients with Musculoskeletal Disorders(MSD).The MEx Dataset contains data from 25 people recorded with four sensors, 2 accelerometers, a pressure mat and a depth camera.

  • Computer Vision
  • Last Updated On: 
    Tue, 10/01/2019 - 10:57