Data · dataset · 2024
Sequential Design of Experiments (DoE) Campaigns for High Hydrostatic Pressure (HHP) Process Optimization
Listed in Riga Stradins University dataverse
Data are obtained within the framework of RSU grant "AI&HHP4Bi: Artificial intelligence and high hydrostatic pressure for sterile biomaterials" (6-ZD-22/8/2023).
Description
The overall goal is to evaluate technological process, method limitations of E.coli bacteria during sterilisation by high hydrostatic pressure. This dataset contains results from sequential Design of Experiments (DoE) campaigns aimed at optimizing a High Hydrostatic Pressure (HHP) process to minimize microbial colonies (colonies_ec) and total effort.
The experiments were guided by Genetic Algorithms, iterating through various combinations of pressure, cycles, and time. This dataset supports research into efficient HHP process parameters for microbial reduction while considering process effort. The software used in the project: xT SAAM x-t.ai/xt-saam/
Links
Where it is published
- Dataverse dataset page dataverse.rsu.lv/dataset.xhtml?persistentId=doi%3A10.48510%2FFK2%2FVFL4NC ↗
landing page · from dataverse rsu lv
- DOI doi.org/10.48510/fk2/vfl4nc ↗
DOI / persistent id · from dataverse rsu lv
Catalogue records · 1
- Dataverse API dataverse.rsu.lv/api/datasets/:persistentId/?persistentId=doi%3A10.48510%2FFK2%… ↗
metadata API · from dataverse rsu lv
Topics
- Stated by source
- Computer and Information Science · Engineering · Medicine, Health and Life Sciences
- From keywords
- Computer Science & AI · Engineering · Life Sciences · Machine learning · Medicine & Health
Provenance · 1 source records, 14 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Riga Stradins University dataverse | doi:10.48510/FK2/VFL4NC | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:4611 | mapping · dataverse rsu lv | vocabulary-mapper@1.0.0 | keywords['Machine Learning'] |
| concepts[field].dataverse_subject:computer-and-information-science | source · dataverse rsu lv | connector:dataverse_rsu_lv@1.0.0 | /subjects |
| concepts[field].dataverse_subject:engineering | source · dataverse rsu lv | connector:dataverse_rsu_lv@1.0.0 | /subjects |
| concepts[field].dataverse_subject:medicine-health-and-life-sciences | source · dataverse rsu lv | connector:dataverse_rsu_lv@1.0.0 | /subjects |
| concepts[field].local:field:computer-science-ai | mapping · dataverse rsu lv | connector:dataverse_rsu_lv@1.0.0 | /subjects |
| concepts[field].local:field:engineering | mapping · dataverse rsu lv | connector:dataverse_rsu_lv@1.0.0 | /subjects |
| concepts[field].local:field:life-sciences | mapping · dataverse rsu lv | connector:dataverse_rsu_lv@1.0.0 | /subjects |
| concepts[field].local:field:medicine-health | mapping · dataverse rsu lv | connector:dataverse_rsu_lv@1.0.0 | /subjects |
| created_date | source · dataverse rsu lv | connector:dataverse_rsu_lv@1.0.0 | |
| description | source · dataverse rsu lv | connector:dataverse_rsu_lv@1.0.0 | /description |
| publication_date | source · dataverse rsu lv | connector:dataverse_rsu_lv@1.0.0 | |
| title | source · dataverse rsu lv | connector:dataverse_rsu_lv@1.0.0 | /name |
| updated_date | source · dataverse rsu lv | connector:dataverse_rsu_lv@1.0.0 | |
| version_label | source · dataverse rsu lv | connector:dataverse_rsu_lv@1.0.0 |