The NeoChemSynthWave: Data project repository.
This project contains the data and code used in the paper: Denter, N. M., & Lai, M. Y. (2022). Measuring generative appropriability: Experiments with US semiconductor patents. World Patent Information. doi:10.1016/j.wpi.2022.102130. https://www.sciencedirect.com/science/article/pii/S0172219022000369?dgcid=author
Checks the USPTO for the existence of the daily XML file for trademarks
The computer-assisted chemical synthesis data source project.
PV API wrapper that can take a list of values (e.g. patent numbers) and retrieve multiple data points to convert into CSV files and merge.
USPTO Goods Slicer is Python library that can remove bracketed goods and services of a USPTO trademark application.
Desktop Patent Searcher
Evaluation and benchmarking of PatentsView disambiguation algorithms
Explore USPTO patents in Elasticsearch
This project contains the data and code used in the paper: Denter, Nils M.; Aaldering, Lukas Jan; Caferoglu, Huseyin (2022): Forecasting future bigrams and promising patents: Introducing text-based link prediction. In Foresight ahead-of-print (ahead-of-print). DOI: doi.org/10.1108/fs-03-2021-0078.
A Python 3 wrapper for the Patentsview.org API. This script will retrieve the patents for the companies specified (in the form on an excel spreadsheet).
Downloads USPTO patents and finds molecules related to keyword queries
Python package to access USPTO bulk data in rectangular format
Graph that downloads patent citation data from USPTO's PatentsView API on-demand and stores it locally in an SQL database (and in memory) for fast access later.
A python tool for reading, parsing and finding patent using the United States Patent and Trademark (USPTO) Bulk Data Storage System.
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