The Patent Trial and Appeal Board (PTAB) API is a RESTful API with an easy to use search interface. You can easily browse USPTO PTAB public documents, search for specific content, and request a bulk download of PTAB content. The PTAB API synchronizes close to real time with the PTAB E2E (End-to-End) system making the latest public America Invents Action (AIA) Trial information and documents available. PTAB API v2 has text search capabilities for decision documents.

This tab-delimited file, assignees2015_5yr.txt, prepared from the U.S. Patent and Trademark Office (USPTO), Technology Assessment and Forecast (TAF) database, displays a listing of organizations receiving the most utility patents (i.e., patents for invention) during the indicated 5 year time period. Each displayed annual count corresponds to the count of patents received in a calendar year (January 1 to December 31). It will import into a Microsoft Excel spreadsheet.

This tab-delimited file, assignees2014_5yr.tsv, prepared from the U.S. Patent and Trademark Office (USPTO), Technology Assessment and Forecast (TAF) database, displays a listing of organizations receiving the most utility patents (i.e., patents for invention) during the indicated 5 year time period. Each displayed annual count corresponds to the count of patents received in a calendar year (January 1 to December 31). It will import into a Microsoft Excel spreadsheet.

This tab-delimited file, stc2015_5yr.txt, prepared from the U.S. Patent and Trademark Office (USPTO), Technology Assessment and Forecast (TAF) database, displays a listing of geographic regions from which utility patents (i.e., patents for invention) originated during the indicated 5 year time period and a corresponding count of patents for each of the years of the period. Each displayed annual count corresponds to the count of patents received in a calendar year (January 1 to December 31). It will import into a Microsoft Excel spreadsheet.

This tab-delimited file, stc2015_5yr.tsv, prepared from the U.S. Patent and Trademark Office (USPTO), Technology Assessment and Forecast (TAF) database, displays a listing of geographic regions from which utility patents (i.e., patents for invention) originated during the indicated 5 year time period and a corresponding count of patents for each of the years of the period. Each displayed annual count corresponds to the count of patents received in a calendar year (January 1 to December 31). It will import into a Microsoft Excel spreadsheet.

The PatentsView API is intended to inspire the exploration and enhanced understanding of US intellectual property (IP) and innovation systems. The database driving the API is regularly updated and integrates the best available tools for inventor disambiguation and data quality control. We hope researchers and developers alike will explore the API to discover people and companies and to visualize trends and patterns across the US innovation landscape.

Offers exclusive access to patent application status information for unpublished patent applications only to the applicant/inventor or his/her representative(s).

Python module "optbayesexpt" uses optimal Bayesian experimental design methods to control measurement settings in order to efficiently determine model parameters. Given a parametric model - analogous to a fitting function - Bayesian inference uses each measurement "data point" to refine model parameters. Using this information, the software suggests measurement settings that are likely to efficiently reduce uncertainties. A TCP socket interface allows the software to be used from experimental control software written in other programming languages.

SEDCORR is an open-source Python module designed to correct for the systematic energy deficits in atom probe mass spectra of electrically insulating samples. The assumption of the algorithm is that the mass spectrum for a dataset is conserved throughout the dataset and that any changes to the peak positions arise from an unknown slowly-fluctuating accelerating voltage. For computational speed, the unknown accelerating voltage is determined using a template matching FFT-based cross correlation method.

SCATMECH is a library of object-oriented C++ computer codes originally developed for disseminating models for polarized light scattering from surfaces and aerosols and for diffraction from gratings. The pySCATMECH package has been developed as an interface to the SCATMECH library, simplifying use of the codes and allowing for more rapid development of software for these applications.