Response surface methodology for lignocellulosic biomass pre-treatment data optimisation - Open Research Data - Bridge of Knowledge

Search

Response surface methodology for lignocellulosic biomass pre-treatment data optimisation

Description

The dataset contains results of several series of data optimised with the application of Box Behnken Design. The data were converted from miniTab software to doc files

Dataset file

model optimisation pretreatment.zip
821.0 kB, S3 ETag 60ca1523de1acd8c53f5aa0f018464eb-1, downloads: 16
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 model optimisation pretreatment.zip

File details

License:
Creative Commons: 0 1.0 open in new tab
CC 0
Public Domain Dedication
File embargo:
2022-12-30

Details

Year of publication:
2022
Verification date:
2023-01-02
Creation date:
2022
Dataset language:
English
Fields of science:
  • chemical engineering (Engineering and Technology)
  • chemical sciences (Natural sciences)
DOI:
DOI ID 10.34808/62a8-tb14 open in new tab
Funding:
Verified by:
Gdańsk University of Technology

Keywords

References

Cite as

seen 54 times