biorxiv-database

Search bioRxiv preprints by using scripted access to query keywords, authors, categories, or date ranges. This retrieves matching preprint metadata, including titles, abstracts, and DOIs, to support rapid literature searches for systematic reviews.

Yes, you can download bioRxiv preprint PDFs automatically. The skill retrieves full-text PDFs alongside detailed metadata like publication dates and license types, enabling in-depth analysis and local data collection for research workflows.

Retrieving bioRxiv preprint metadata requires the Python requests library for HTTP operations. The skill utilizes bioRxiv API endpoints and local scripting to perform automated metadata extraction and search workflows.

Extract bioRxiv metadata by running local scripts that interact with bioRxiv API endpoints. This process obtains detailed information such as titles, abstracts, DOIs, and publication dates, directly supporting trend analysis and data collection.

Scripted bioRxiv API access depends on the requests library for HTTP operations and is constrained by API rate limits. It is designed for retrieving preprint metadata and PDFs, not for accessing peer-reviewed published journal articles.

Yes, the bioRxiv database skill supports filtering preprints by specific categories. You can find recent papers by keywords, authors, categories, or date ranges to gather targeted datasets for research.