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Data · dataset · 2025

Research software supporting the publication “Leveraging Large Language Models to Classify and Inspect Defects in Reinforced Autoclaved Aerated Concrete (RAAC)”

Listed in UBIRA eData

This dataset contains a Python-based tool to automate the download of open access full-text PDFs using the Unpaywall API.

Description

It accepts a CSV of DOIs and retrieves available PDFs into a structured directory. The project includes source code, a requirements file, and documentation.

It was developed to support open science workflows by simplifying access to freely available scholarly publications.

Links

Where it is published

Catalogue records · 1

Topics

Related

Provenance · 1 source records, 5 field assertions
SourceKeyLast seenRaw
UBIRA eDataoai:edata.bham.ac.uk:129211 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].local:field:earth-environmentalmapping · edata bham ac ukconnector:edata_bham_ac_uk@1.0.0
descriptionsource · edata bham ac ukconnector:edata_bham_ac_uk@1.0.0/metadata/dc/description
license_textsource · edata bham ac ukconnector:edata_bham_ac_uk@1.0.0
publication_datesource · edata bham ac ukconnector:edata_bham_ac_uk@1.0.0
titlesource · edata bham ac ukconnector:edata_bham_ac_uk@1.0.0/metadata/dc/title