*.RAR

10.000 Smart contract addresses and its source codes. We previously had addresses whose codes were uploaded to Ethereum. The codes for these addresses were get from Ethereum using Python web3 libraries.

The data set contains addresses in the ScAddresses.txt file. The source code of each address is also included in numbered text files.

Other functions available in the API provided by Ethereum can be used for code-verified smart contracts.

Python file functions were used to process these files.

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 Our dataset has a total of 8 actions, 7 people(P1-P7), and 3 experimental environments(Room-A,Room-B,Room-C). There are a total of 3 directions in each environment, with 5 samples of each action taken for each person in each direction, so the number of samples is 360(samples/person)*7 = 2520.

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1 day of Bluetooth connectivity and mobility data.

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CenceMe is a sensing system based on standard and sensor-enabled mobile phones. CenceMe uses the output of the phones' sensors and external data (if such is available) to infer human presence and activity information. This dataset contains movements and inferred activities of participants using CenceMe on their mobile phones.

The CenceMeLite traces were collected from 2008-07-28 to 2008-08-11 by students and staff members at Dartmouth College.

last modified 2010-08-30

reason for most recent change the initial version

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Dataset contains the results of calculations of the impulse responses (IPR) and of the signal-to-noise ratios (SNR) and the models of the atmosphere for the UV wavelength range that were used in the paper Mikhail V. Tarasenkov, Vladimir V. Belov, Egor S. Poznakharev "Estimation of optimal wavelengths for atmospheric non-line-of-sight optical communication in the UV range of the spectrum in the daytime and at night for baseline distances from 50 m to 50 km".

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These data are complementary to the paper: " New Proposed Overcurrent Relay Coordination
for Microgrid Protection"

 

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