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5G RSSI-based drone count dataset using software defined radio

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This dataset provides high-grade Received Signal Strength Indicator (RSSI) data collected from a set of experiments meant to estimate the number of drones present in a closed indoor space. The experiments are conducted varying the number of drones from one to seven, where all the variations in RSSI signal data are captured using a 5G transceiver setup established using Ettus E312 software-defined radio. There are seven files in the database, with a minimum of about 270 million samples.

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Pathology Imaging and Region of Interest Mask Definition

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70 images with a total of more than 2 GB of data have been employed for the experimental evaluation. All images are acquired at 24 bpp with 8 bits per pixel per component (bpppc). They depict various tissues of different sizes and stained with Hematoxylin and Eosin (H\&E) stain. The tissues employed in the experiments are skin fibroblast (SKNF), endometrial (END), lung (LNGF), embryonic stem cells (ES), kidney clear cell carcinoma (KIRC), pancreas (PANC), brain glioblastoma multiforme (GBM), colon adenocarcinoma (COAD), and lymphatic (LYMP).
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