SPARQL Queries

Select a query to see its description, SPARQL code, and results.

• Research articles by research field
• Research field (MeSH terms) by the number of GitHub repositories that contain at least one Jupyter notebook.
• Journals with the highest number of articles that had a valid GitHub repository and at least one Jupyter notebook.
• Journals by the number of GitHub repositories and by the number of GitHub repositories with at least one Jupyter notebook.
• Journals by number of GitHub repositories with Jupyter notebooks.
• Programming languages of the notebooks.
• Exceptions occurring in Jupyter notebooks in our corpus.
• Jupyter notebook exceptions by research field, taking as a proxy the highest-level MeSH terms of the article associated with the notebook.
• Notebooks with successful executions with same and different results
• Notebooks by search term: 'immun' AND ('stem' OR 'differentiation')
• Article by keywords, e.g., `open source'
• Most common errors in immunology
• Most common errors in Nature journal
• MeSH terms ranked by 'ModuleNotFoundError' frequency
• Repositories by their stargazers count
• Match articles between FAIR Jupyter and Wikidata via DOI
• Match articles between FAIR Jupyter and Wikidata via PMC ID
• Match articles between FAIR Jupyter and Wikidata via MeSH in different language, i.e Malayalam
• Match articles between FAIR Jupyter and MaRDI via DOI and get co-used software
• GitHub repositories and their Software Heritage snapshot
• Articles and repositories with notebooks in Julia