Description
The data set consists tensile strength, electric resistance, electrochemical characteristics and physicochemical studies of multi-material 3D printed systems, including their sensing performance during detection of antibiotics in an industrial sewage. Additionally, contact angle measurements and SEM micrographs of the electrode surfaces were included.
Dataset file
dataset_rapidmech.zip
28.5 MB,
S3 ETag
2803b446ebbeb46354fe8d0ede5702e2-1,
downloads: 59
The file hash is calculated from the formula
Example script for calculation:
https://github.com/antespi/s3md5
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
File details
- License:
-
open in new tabCC BYAttribution
- Raw data:
- Data contained in dataset was not processed.
Details
- Year of publication:
- 2024
- Verification date:
- 2024-03-26
- Dataset language:
- English
- Fields of science:
-
- materials engineering (Engineering and Technology)
- environmental engineering, mining and energy (Engineering and Technology)
- DOI:
- DOI ID 10.34808/ra8e-kv07 open in new tab
- Funding:
- Series:
- Verified by:
- Gdańsk University of Technology
Keywords
References
Cite as
Authors
seen 116 times