*.csv; *.jpg
The dataset was captured from a vineyard in Bagnolo San Vito, Italy. The dataset comprises sensor readings and high-resolution images collected from 24 March 2024 to 24 December 2024, using one high-resolution camera and a LoRaWAN network of 2 air sensors and 6 soil sensors. The sensors measured air temperature and humidity, soil dielectric permittivity, and soil temperature every 10 minutes. The camera captured one 4-Mpixel RGB image per day.
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PSP-MP, a subway platform passenger standing position dataset created using Blender software. The dataset includes 200 test scenarios. The IMG directory stores binocular images of the subway platform layer, with a single image resolution of 1280 * 720Pixel and a JPG format. The GT directory stores information such as the standing position, height, and orientation of passengers on the platform layer in the platform coordinate system.
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This is a new dataset, including behavioral, biometric, and environmental data, obtained from 39 subjects each spending 1 week to 2 months in smart rooms in Tokyo, Japan. The approximate duration of the experiment is 3 years. This dataset includes personal data, such as the use of home appliances, heartbeat rate, sleep status, temperature, illumination, and meal data. Although there are many datasets that publish these data individually, datasets that publish them all at once, tied to individual IDs, are valuable.
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