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This dataset includes gathering 18-month raw PV data at time intervals of about 200 µs (5 kHz sampling). A post-processing 365-day day-by-day downsampled version, converted to 10 ms intervals (100 Hz sampling), is also included. The end results are two databases: 1. The original, raw, data, including both fast (short circuit, 200 µs) and slow (sweep, 2.5-3.9 s) information for 18 months. These show intervals of missing points, but are provided to allow potential users to reproduce any new work. 2.

  • Energy
  • Last Updated On: 
    Tue, 07/02/2019 - 21:06

    This paper presents a fast and open source extension based on the NSGA-II code stored in the repository of the Kanpur Genetic Algorithms Laboratory (KanGAL) and the adjustment of the selection operator. It slightly modifies existing well-established genetic algorithms for many-objective optimization called the NSGA-III, the adaptive NSGA-III (A-NSGA-III), and the efficient adaptive NSGA-III,  (A$^2$-NSGA-III).

  • Computational Intelligence
  • Last Updated On: 
    Tue, 04/23/2019 - 22:34

    Our Signing in the Wild dataset consists of various videos harvested from YouTube containing people signing in various sign languages and doing so in diverse settings, environments, under complex signer and camera motion, and even group signing. This dataset is intended to be used for sign language detection.

     

  • Communications
  • Last Updated On: 
    Sat, 02/23/2019 - 10:49

    This dataset accompanies the IEEE Journal of Oceanic Engineering Special Issue on Verification and Validation of Airgun Source Signature and Sound Propagation Models. The special issue has is its origins in the International Airgun Modelling Workshop (IAMW) held in Dublin, Ireland, on 16 July 2016 (Ainslie et al., 2016).

  • Geoscience and Remote Sensing
  • Last Updated On: 
    Sun, 02/10/2019 - 11:23

    This dataset was collected from an industrial control system running the Modbus protocol. It is used to train a deep adversarial learning model. This model is used to generate fuzzing data in the same format as the real one. The data is a sequence of hexadecimal numbers. The followed generated data is produced by the already trained model.

     

  • Communications
  • Last Updated On: 
    Tue, 01/29/2019 - 04:35

    Co-cultures are a traditional method for studying the cellular properties of cell to cell interactions among different cell types. How network properties in these multicellular synthetic systems vary from monocultures are of particular interest. Understanding the changes in the functional output of these in vitro spiking neural networks can provide new insights into in vivo systems and how to develop biological system models that better reflect physiological conditions - something of paramount importance to the progress of synthetic biology.

  • Neuroscience
  • Last Updated On: 
    Tue, 06/18/2019 - 20:00

    Once the three courses for the three learning scenarios - C# OOP programming, Sphero Edu visual programming and VEDILS authoring tool - were taught, the three student groups were asked to indicate using a scale between one and four - to avoid the selection of neutral options - their perception of the clarity and the interest of the exposition (CL and IT indicators), as well as the time spent studying the course contents (ST indicator).

  • Other
  • Last Updated On: 
    Tue, 11/20/2018 - 14:40
    Citation Author(s): 
    José María Rodríguez Corral, Iván Ruíz-Rube, Antón Civit Balcells, José Miguel Mota-Macías, Arturo Morgado-Estévez and Juan Manuel Dodero

    For a detailed describtion of this dataset see accompanying publication "Stand-alone Heartbeat Detection in Multidimensional Mechanocardiograms" by Kaisti M., et al. IEEE Sensors 2018, 10.1109/JSEN.2018.2874706. This datasets consists of 29 mechanocardiogram recordings with ECG reference from healthy subjects in supine position. All data were recorded with sensors attached to the sternum using double-sided tape. Mechanocardigrams incude 3-axis accelorometer signals (seismocardiograms) and 3-axis gyroscope signals (gyrocardiograms).

  • Health
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Matti Kaisti, Mojtaba Jafari Tadi, Olli Lahdenoja, Tero Hurnanen, Mikko Pänkäälä, Tero Koivisto

    The data set contains 360 instances of images of transparent PET preforms with a constant actual color. The measured color is varring because of illumination conditions. The measured color variation factor is described as color value correction coeficient.

  • Sensors
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Darius Drungilas, Mindaugas Kurmis, Zydrunas Lukosius

    Wearable Inertial Measurement Units (IMU) measuring acceleration, earth magnetic field and gyroscopic measurements can be considered for capturing human skeletal postures in real time. This dataset contains IMU readings (accelerometer, magnetometer and gyroscope) for common shoulder exercises: extension- flexion and abduction-adduction and simultaneously measures VICON readings and Kinect readings.

  • Wearable Sensing
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Pubudu N. Pathirana, M. Sajeewani Karunarathne, Gareth L. Williams, Phan T. Nam, Hugh Durrant-Whyte

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