Integrating microalgae, carbon quantum dots and artificial intelligence: a roadmap towards smart and circular photobioreactor systems - SciBERT semantic-similarity mapping dataset

List and describe each deposited file, e.g.: - scopus_datos.csv : Scopus metadata export of the 14 retrieved documents (title, abstract, authors, source, year, DOI). - matriz_proximidad_scibert.csv : pairwise SciBERT cosine-similarity matrix (91 unique document pairs, similarity expressed as %). - scibert_embeddings.txt: Python script that loads scientific metadata from Scopus, extracts dense semantic vectors using the SciBERT model, and computes the pairwise cosine similarity matrix. - generar_grafico.txt : Python script that parses the previously generated similarity matrix, maps references to standardized citation formats, and constructs the high-resolution publication-ready Clustermap with custom structural annotations.