Patent Dataset for Technological Landscaping and Analysis (Exported from The Lens)

Description This dataset contains bibliographic records and metadata of patent documents retrieved from The Lens platform (lens.org). It was compiled and utilized to perform a patent landscape analysis and technological forecasting in the field of [...]. The dataset is provided in a comma-separated values (.csv) format and includes comprehensive fields such as publication dates, jurisdictions, applicant and inventor data, URL links to full texts, citation counts (both patent and non-patent literature), and legal status, as well as International Patent Classification (IPC) and Cooperative Patent Classification (CPC) codes. Dataset Structure and Key Fields: Lens ID and Display Key: Unique identifiers for each patent record. Title and Abstract: Textual data used for content screening and thematic clustering. Applicants and Inventors: Entities and researchers driving innovation in this domain. Classifications (IPCR/CPC): Metadata used to categorize the technological sectors involved. Cites/Cited by Counts: Metrics utilized for network analysis and identifying core/pioneer patents. Usage Notes: This data is intended for researchers, data scientists, and analysts working on technology intelligence, patentometrics, and competitive mapping within this industry sector. It can be easily processed using bibliometric software, Python (Pandas/NetworkX), or R (Bibliometrix).