Derived dataset: bibliometric separation of the maritime relocation and stranding literatures

Five derived data files supporting the bibliometric analysis reported in the associated article. They are sufficient to reproduce every reported count and coupling measure without access to Scopus.The article examines whether the literature on stranded assets in shipping and the literature on vessel relocation under environmental regulation engage with one another. A structured retrieval probe of Scopus returns an empty intersection between the two; citation analysis on the same records finds no citation between them in either direction; and bibliographic coupling finds that the sources they cite in common are without exception contributions to maritime decarbonization rather than to climate finance.WHAT THIS DEPOSIT IS NOT: it is not a redistribution of Scopus. Abstracts, author keyword strings, full reference lists and any other copyrightable content have been deliberately excluded. What is deposited is factual bibliographic metadata (DOI, year, source title, document type) together with derived indicators computed by the authors. Any reader with Scopus access can regenerate the full underlying records by executing the search strings given in the Supplementary Material of the article.FILES- dataset_records.csv — one row per retrieved record, 140 rows, with indicators for whether each record carries stranding or relocation vocabulary- dataset_coupling_metrics.csv — eleven coupling measures between the two retrieved sets- dataset_shared_references.csv — the 37 sources cited by records in both sets- dataset_shared_venues.csv — the 12 journals in which records from both sets appear- dataset_shared_keywords.csv — the 13 author keywords shared between the two sets- README_dataset.md / .pdf — full documentation, including method notes and the validation of the citation matcherThe central finding is directly verifiable from dataset_records.csv: no record in set S1 has carries_stranding_term = 1.