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Dataset Search

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51 results found

OCE - Patent Examination Status Codes API (Version 1)

Data provided by  United States Patent and Trademark Office

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.

Tags: uspto,patent,examination,status code,api,office of the chief economist,oce,

Modified: 2024-02-22

Views: 0

OCE - Patent Litigation Cases API (Version 1)

Data provided by  United States Patent and Trademark Office

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.

Tags: uspto,patent,litigation,cases,office of the chief economist,oce,api,

Modified: 2024-02-22

Views: 0

Patent Trial and Appeal Board (PTAB) API (Version 2.0)

Data provided by  United States Patent and Trademark Office

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.

Tags: patent,trial,appeal,board,ptab,bpai,api,decisions,proceedings,documents,uspto,

Modified: 2024-02-22

Views: 0

PatentsView API (Version 1.0.0)

Data provided by  United States Patent and Trademark Office

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.

Tags: uspto,patent,patent application,visualization,oce,api,

Modified: 2024-02-22

Views: 0

Trademark Image Search API (beta)

Data provided by  United States Patent and Trademark Office

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.

Tags: uspto,trademark,image,search,api,

Modified: 2024-02-22

Views: 0

Trademark Status and Document Retrieval (TSDR) API (beta)

Data provided by  United States Patent and Trademark Office

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.

Tags: uspto,trademark,status,image,search,api,

Modified: 2024-02-22

Views: 0

Simantha: Simulation for Manufacturing

Data provided by  National Institute of Standards and Technology

Simantha is a discrete event simulation package written in Python that is designed to model the behavior of discrete manufacturing systems. Specifically, it focuses on asynchronous production lines with finite buffers. It also provides functionality for modeling the degradation and maintenance of machines in these systems. Classes for five basic manufacturing objects are included: source, machine, buffer, sink, and maintainer. These objects can be defined by the user and configured in different ways to model various real-world manufacturing systems.

Tags: discrete-event simulation,manufacturing,production,maintenance,python,

Modified: 2024-02-22

Views: 0

Linear Axis Testbed at IMS Center - Run-to-Failure Experiment 01

Data provided by  National Institute of Standards and Technology

A linear axis testbed at the Center for Intelligent Maintenance Systems (IMS Center) at the University of Cincinnati was run to failure (the detection of backlash) over one year with periodic data collected from an inertial measurement unit (IMU) on the carriage, two triaxial accelerometers on the ball nut, and the controller.

Tags: manufacturing,Industry 4.0,smart manufacturing,linear axis,machine tool,ball screw,backlash,sensor,accelerometer,inertial measurement unit,IMU,error motion,data analysis,monitoring,diagnostics,

Modified: 2024-02-22

Views: 0

Cost Assessment Tool for Sustainable Manufacturing (CATS)

Data provided by  National Institute of Standards and Technology

This tool uses techniques from ASTM E3200 for evaluating manufacturing investments from the perspective of environmentally sustainable manufacturing by pairing economic methods of investment analysis with environmental aspect of manufacturing. The economic techniques used include net present value, internal rate of return, payback period, and hurdle rate. These four techniques are deterministic, meaning that they deal with known values that are certain. The tool also conducts a sensitivity analysis using Monte Carlo techniques.

Tags: investment analysis,manufacturing,net present value,internal rate of return,environmental impact,sustainability,

Modified: 2024-02-22

Views: 0

Thermal Drift Monitoring Experiment 01

Data provided by  National Institute of Standards and Technology

An experiment was set up within a machine tool at the National Institute of Standards and Technology (NIST) to test vision-based thermal drift tracking methods. A wireless microscope within a tool holder in the spindle is used to capture videos of image targets attached to the worktable. For each target, one video is captured during spindle rotation orthogonal to the worktable and another video is captured during axis translation orthogonal to the worktable.

Tags: Thermal error,machine tool,monitoring,manufacturing,Microscope,

Modified: 2024-02-22

Views: 0