Low frequency nois of supecapacitor - Open Research Data - Bridge of Knowledge

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Low frequency nois of supecapacitor

Description

Dataset contains results of low frequency noise observation during discharge of commercially available supercapacitor, type DRL 2.7V 10F, with a nominal capacitance 10 F and a nominal voltage 2.7 V. Supercapacitor was charged to various voltages and discharged through a resistor. In the experiment the 50 Ohm and 200 Ohm resistors were used. The supercapacitor was charged to various voltages from 0,5 V to 2,7 V, which is nominal voltage of this device. The measurement method and measurement setup are described in https://doi.org/10.1515/mms-2017-0059. 

Data is stored in binary files with little-endian byte order (8 bytes per sample, double precision). Single .bin file contains 32 seconds of voltage observation taken with sampling frequency 1024 Hz.  Files contain observations for single experiment are stored in one ZIP archive and numbered sequentially. The electrical signal was amplified before sampled. Signal amplification for each experiment is given in "description.txt" file.

Filename decoding:
D4_RRROhm_VVV_NNN.bin

RRR - discharge resistor value in Ohms (50/200), VVV - charging voltage (0V5 -> 0,5 V; 1V0 -> 1,0 V, ...), NNN - sequential file number.

The binary data have to be read as little-endian byte order double precision number.

Dataset file

SC_D4_binary_data.ZIP
244.4 MB, S3 ETag 15cea67d929b99ddad2fa81f9f5e7de1-1, downloads: 65
The file hash is calculated from the formula
hexmd5(md5(part1)+md5(part2)+...)-{parts_count} where a single part of the file is 512 MB in size.

Example script for calculation:
https://github.com/antespi/s3md5
download file SC_D4_binary_data.ZIP

File details

License:
Creative Commons: by 4.0 open in new tab
CC BY
Attribution
Raw data:
Data contained in dataset was not processed.

Details

Year of publication:
2021
Verification date:
2021-03-29
Dataset language:
English
Fields of science:
  • Automation, electronic and electrical engineering (Engineering and Technology)
DOI:
DOI ID 10.34808/7v5s-vx82 open in new tab
Funding:
Verified by:
Gdańsk University of Technology

Keywords

References

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