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88 results found

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

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

Data Supporting "Seabird Tissue Archival and Monitoring Project (STAMP) Data from 1999-2010"

Data provided by  National Institute of Standards and Technology

Here we provide curated analytical chemistry data for eggs collected from 1999 to 2010 on a subset of species and analytes that were measured regularly and reasonably systematically. Included in this publication are 487 samples analyzed for 174 ubiquitous environmental contaminants such as (poly)brominated diphenyl ethers (BDEs), mercury, organochlorine pesticides (OCPs), and polychlorinated biphenyls (PCBs). Data were collated to form a dataset useful in chemometric and related analyses of the marine ecosystem in the north Pacific Ocean.

Tags: NIST Biorepository,eggs,tissues,BDEs,PBDEs,PCBs,Pesticides,mercury,trace elements,heavy metals,organic,inorganic,chemistry,stable isotopes,genetics,Environment and Climate,chemometric,machine learning,ML,seabird,bird,Pacific Ocean,

Modified: 2024-02-22

Views: 0

ANDiE: the Autonomous Neutron Diffraction Explorer.

Data provided by  National Institute of Standards and Technology

ANDiE the Autonomous Neutron Diffraction Explorer is a tool for autonomously discovering the magnetic transition temperature and transition dynamics of a material from neutron diffraction experiments. The Jupyter notebooks used to implement ANDiE can be found here: https://github.com/usnistgov/ANDiE-v1_0 The Jupyter notebooks contained therein are of ANDiE as implemented at the WAND2 instrument at the HB-2C beamline at the High-Flux Isotope Reactor (HFIR) at Oak Ridge National Laboratory (ORNL).

Tags: Autonomous Experiments,neutron diffraction,machine learning,Active Learning,Artificial Intelligence,

Modified: 2024-02-22

Views: 0

Closed-loop Autonomous Materials Exploration and Optimization 1.0

Data provided by  National Institute of Standards and Technology

Code and demonstration data for the paper, "On-the-fly closed-loop materials discovery via Bayesian active learning," Kusne, A.G., Yu, H., Wu, C. et al. Nat Commun 11, 5966 (2020). https://doi.org/10.1038/s41467-020 19597-w Code: Closed-loop autonomous materials exploration and optimization. This code is used to control an autonomous materials exploration and optimization platform. It guides subsequent experiments to learn about a material's phase map and target functional properties in a unified framework.

Tags: autonomous,machine learning,phase map,materials optimization,

Modified: 2024-02-22

Views: 0

IP Marketplace Platform API (Version 1)

Data provided by  United States Patent and Trademark Office

The Intellectual Property (IP) Marketplace Platform, also called Patents 4 Partnerships is an initiative of the U.S. Patent and Trademark Office (USPTO) that brings together those who have technologies and want to make them available for licensing and those who have an interest in and the ability to commercialize the technologies. The IP Marketplace Platform provides a voluntary listing of patents and patent application publications (pre-grant publications, pgpubs) indicated as *available for licensing* on external public websites or in the USPTO Patent Official Gazette Notices.

Tags: uspto,intellectual,property,ip,marketplace,patent,application,partnership,licensing,commercialize,

Modified: 2024-02-22

Views: 0