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Data · dataset · 2025

AI-Driven methodology for mining scientific literature and extracting databases: A case study on a chemical process

Listed in Teesside University Research Data Repository

1.

Description

Python scripts for the pipeline + requirements 2. Full CO hydrogenation database 3.

Application-oriented CO hydrogenation database 4. Validation analysis

Links

Where it is published

Catalogue records · 1

Topics

Provenance · 1 source records, 6 field assertions
SourceKeyLast seenRaw
Teesside University Research Data Repositoryoai:data.mendeley.com/z6fhbz9nny.115 h agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].local:field:earth-environmentalmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
descriptionsource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/description
licensesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/rights
publication_datesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
titlesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/title