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119 results found

Cancer Moonshot Patent Data Set API (Version 1.0.1)

Data provided by  United States Patent and Trademark Office

The Cancer Moonshot Patent Data Set API allows the public to discover and search USPTO Cancer Moonshot Patent Data.

Tags: api,uspto,cancer,moonshot,patent,application,

Modified: 2024-02-22

Views: 0

Cooperative Patent Classification (CPC) Master Classification File (MCF) for U.S. Patent Applications (2001 - Present)

Data provided by  United States Patent and Trademark Office

Contains Cooperative Patent Classification (CPC) classification information for all Utility patent applications published by the U.S. Patent and Trademark Office (USPTO) from 2001 to present. It is available as XML with schemas or text monthly (usually by the 15th of the month).

Tags: ascii,xml,uspto,patent application,cooperative,class,classification,subclass,subclassification,

Modified: 2024-02-22

Views: 0

Cooperative Patent Classification (CPC) Master Classification File (MCF) for U.S. Patent Grants (1790 - Present)

Data provided by  United States Patent and Trademark Office

Contains Cooperative Patent Classification (CPC) classification information for all Utility patent grants issued by the U.S. Patent and Trademark Office (USPTO) from 1790 to present. It is available as XML with schemas or text monthly (usually by the 15th of the month).

Tags: ascii,xml,uspto,patent,cooperative,class,classification,subclass,subclassification,

Modified: 2024-02-22

Views: 0

Custom Bibliographic Patent Data Extract DVD-ROM (1963 - 2014)

Data provided by  United States Patent and Trademark Office

Contains selected bibliographic (selected front page data fields) patent data for utility patents granted since 1963 and for other patent documents granted since 1977. The bibliographic data are extracted from the USPTO's Technology Assessment and Forecast (TAF) database and are presented in a form that facilitates loading into database software (e.g., for analysis).

Tags: uspto,ptmt,taf,patent,bibliographic,extract,dvd-rom,dvd,

Modified: 2024-02-22

Views: 0

Enriched Citation API (Version 1)

Data provided by  United States Patent and Trademark Office

The Enriched Citation API provides the Intellectual Property 5 (IP5 - EPO, JPO, KIPO, CNIPA, and USPTO) and the Public with greater insight into the patent evaluation process. It allows users to quickly view information about which references, or prior art, were cited in specific patent application Office Actions, including: bibliographic information of the reference, the claims that the prior art was cited against, and the relevant sections that the examiner relied upon.

Tags: uspto,ip5,enriched,citation,prior art,office action,claims,machine learning,ai,api,statutes,references,

Modified: 2024-02-22

Views: 0

Enriched Citation API (Version 2)

Data provided by  United States Patent and Trademark Office

The Enriched Citation API provides the Intellectual Property 5 (IP5 - EPO, JPO, KIPO, CNIPA, and USPTO) and the Public with greater insight into the patent evaluation process. It allows users to quickly view information about which references, or prior art, were cited in specific patent application Office Actions, including: bibliographic information of the reference, the claims that the prior art was cited against, and the relevant sections that the examiner relied upon.

Tags: uspto,ip5,enriched,citation,prior art,office action,claims,machine learning,ai,api,statutes,references,

Modified: 2024-02-22

Views: 0

Frequency stabilization of a quantum cascade laser by weak resonant feedback from a Fabry-Perot cavity

Data provided by  National Institute of Standards and Technology

Data from peer-reviewed publication: G. Zhao et al., Frequency stabilization of a quantum cascade laser by weak resonant feedback from a Fabry-Perot cavity, Optics Letters. Frequency-stabilized mid-infrared lasers are valuable tools for precision molecular spectroscopy. However, their implementation remains limited by complicated stabilization schemes. Here we achieve optical self-locking of a quantum cascade laser to the resonant leak-out field of a highly mode-matched two-mirror cavity.

Tags: laser stabilization,diode lasers,quantum cascade lasers,laser metrology,optical resonators,two-photon absorption,greenhouse gases,Nitrous Oxide,oceans,ph,marine mammals,remote sensing,seabirds,Environment and Climate,

Modified: 2024-02-22

Views: 0

High accuracy spectroscopic parameters of the 1.27 um band of O2 measured with comb-referenced, cavity ring-down spectroscopy

Data provided by  National Institute of Standards and Technology

Data corresponding to Figs. 2,3,5,6,11,12,13,14 for Fleurbaey et al J. Quant Spectrosc. Radiat. Transf. vol 270, 107684 (2021). doi.org.10.1016/j.jqsrt.2021.107684

Tags: greenhouse gases,carbon dioxide,oceans,ph,marine mammals,remote sensing,seabirds,Environment and Climate,

Modified: 2024-02-22

Views: 0

Dataset of channels and received IEEE 802.11ay signals for sensing applications in the 60GHz band

Data provided by  National Institute of Standards and Technology

The dataset can be used to develop and test algorithms for communication and sensing in the 60GHz band. The dataset consists of synthetically generated indoor mm-wave channels between a MIMO transmitter and a MIMO receivers. Multiple targets are moving in the room. Number of targets, velocity of each target and trajectory are randomized across the dataset. The dataset contains also noisy received IEEE 802.11ay channel estimation fields. The dataset is suitable for development and testing of machine/deep learning algorithms.

Tags: Sensing,communication,millimeter wave,dataset,machine learning,deep learning,channel model,IEEE 802.11ay,IEEE 802.11bf,

Modified: 2024-02-22

Views: 0

**SUPERSEDED** Software and Data for Modeling OFDM Communication Signals with Generative Adversarial Networks

Data provided by  National Institute of Standards and Technology

This software and data have been superseded. Please visit https://doi.org/10.18434/mds2-2532

Tags: generative adversarial network,machine learning,wireless communications,

Modified: 2024-02-22

Views: 0