Weather
These last decades, Earth Observation brought quantities of new perspectives from geosciences to human activity monitoring. As more data became available, artificial intelligence techniques led to very successful results for understanding remote sensing data. Moreover, various acquisition techniques such as Synthetic Aperture Radar (SAR) can also be used for problems that could not be tackled only through optical images. This is the case for weather-related disasters such as floods or hurricanes, which are generally associated with large clouds cover.
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This dataset includes the synoptic data gathering from some stations in Fars province in Iran.
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205 Views
Four groups of wind speed series
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598 Views
An image dataset including five types of weather conditions (cloudy, sunny, foggy, rainy and snowy) was constructed.
This dataset, called FWID, includes 4000 images for each weather category, leading to a total of 20000 images.
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2061 ViewsAn image dataset including five types of weather conditions (cloudy, sunny, foggy, rainy and snowy) was constructed.
This dataset, called FWID, includes 4000 images for each weather category, leading to a total of 20000 images.
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510 ViewsAn image dataset including five types of weather conditions (cloudy, sunny, foggy, rainy and snowy) was constructed.
This dataset, called FWID, includes 4000 images for each weather category, leading to a total of 20000 images.
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4035 Views
Data from measurements in Åre during the winter 2018-2019.
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139 Views
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.
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1224 Views
Accurate short-term load forecasting (STLF) plays an increasingly important role in reliable and economical power system operations. This dataset contains The University of Texas at Dallas (UTD) campus load data with 13 buildings, together with 20 weather and calendar features. The dataset spans from 01/01/2014 to 12/31/2015 with an hourly resolution. The dataset is beneficial to various research such as STLF.
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3426 Views
It is possible to construct "aerosol cytometers" based on different types of Zhulanov's laser aerosol counters | diffusion aerosol spectrometers (DAS) [1-8] and "hydrosol cytometers" based on hydrosol particle counters (adopted for ocean marine, ocean and hydrothermal conditions [9,10]).
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514 Views