Use this API to search the Office of the Chief Economist (OCE) Patent Examination Event Codes Dataset 2015. The Event Codes dataset includes short descriptions of the event codes used in the transactions dataset. The descriptions can be linked to transactions using the event_code variable. There are 1,873 unique event codes represented in this data file.

Use this API to search Patent Examination Status Codes Dataset 2015. The Status Codes dataset includes descriptions of the status codes used to populate the appl_status_code variable in the application dataset. The descriptions can be linked to application data using this variable. There are 225 unique application status codes represented in this file. See Table A-3 in documentation for a list and brief description of the two variables included in this dataset.

Use this API to search Patent Litigation Cases. The Patent Litigation Dataset contains detailed patent litigation data on 74,623 unique district court cases filed during the period 1963-2015. OCE collected all of the data from the Public Access to Court Electronics Records (PACER) and RECAP, an independent project designed to serve as a repository for litigation data sourced from PACER.

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.

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.

The Trademark Image Search API (beta) allows searching Trademark Images using various attributes like feature, accuracy, metricspaces and candidates. This API also allows searching Trademark documents using various metadata attributes like Specimen Description, Filing Description, Filing Basis, Owner's Name, Street Address, etc.

The Trademark Status and Document Retrieval (TSDR) API allows you to make programmatic requests for trademark case status, documents, and images. Beginning on October 2, 2020, you will need an API key to download bulk data from TSDR using the TSDR API. Using API keys will help optimize usage of our TSDR system, which will help enable users like yourself to better access the information you need from TSDR. The below resources will provide you with more information on using the TSDR API.

On-resonance Rydberg atom-based radio-frequency (RF) electric field sensing methods remain limited by the narrow frequency signal detection bands available by resonant transitions. The use ofan additional RF tuner field to dress or shift a target Rydberg state can be used to return a detuned signal field to resonance and thus dramatically extend the frequency range available for resonantsensing.

This set corresponds to a (pending) publication, where we attempt to model spectral features appearing in the lab by calculating many segments of an inhomogeneous field. Every data set here is a transmission value, either normalized to 1 in modeled data, or an arbitrary-scaled voltage reading from a photodiode onto an oscilloscope. These are given in scans over coupling photon detuning, delta_C, which is divided by 2 pi, and given in MHz. Arrays are scans over delta_C, and position/fieldstrength, for figure 3.

Although Rydberg atom-based electric field sensing provides key advantages over traditional antenna-based detection, it remains limited by the need for a local oscillator (LO) for low-field and phase resolved detection. In this work, we demonstrate the general applicability of closed-loop quantum interferometric schemes for Rydberg field sensing, which eliminate the need for an LO. We reveal that the quantum-interferometrically defined phase and frequency of our scheme provides an internal reference that enables LO-free full 360 degree-resolved phase sensitivity.