This project produces synthetic datasets of spectrum sharing simulation results (I/Q data, metadata, and KPIs).

Using a modified Thomas-Fermi approximation, we model a reference semiconductor system comprising a quasi-1D nanowire with a series of five depletion gates whose voltages determine the number of quantum dots (QDs), the charges on each of the QDs, as well as the conductance through the wire. The original dataset, QFlow lite, consists of 1 001 idealized simulated measurements with gate configurations sampling over different realizations of the same type of device.

Round 9 Train DatasetThis is the training data used to construct and evaluate trojan detection software solutions. This data, generated at NIST, consists of natural language processing (NLP) AIs trained to perform one of three tasks, sentiment classification, named entity recognition, or extractive question answering on English text. A known percentage of these trained AI models have been poisoned with a known trigger which induces incorrect behavior. This data will be used to develop software solutions for detecting which trained AI models have been poisoned via embedded triggers.

This repository contains results for experiments on generative modeling of synthetic Orthogonal-Frequency Division Multiplexing (OFDM) communication signals. (This record supersedes Software and Data for Modeling OFDM Communication Signals with Generative Adversarial Networks, formerly at https://doi.org/10.18434/mds2-2428)

Contains Artificial Intelligence Patent Landscape data classifying 13,244,037 granted patents and PGPubs published from 1976 through 2021 in eight AI component technologies using state-of-the art machine learning based models.

The Bulk Data Storage System (BDSS) API allows the public to discover, search by date, and download patent and trademark data within BDSS in bulk form.

The Bulk Search and Download API allows searching published patent applications (pre-grant publications, pgpubs) and issued patents (patent grants) across various fields from 2001 to present, and to request a custom zip package for the given patent application or patent ids. Download up to 100 document numbers at a time. Wait time can vary based on the number of requests being processed.

This curated dataset consists of 269,353 patent documents (published patent applications and granted patents) spanning the 1976 to 2016 period and is intended to help identify promising R&D on the horizon in diagnostics, therapeutics, data analytics, and model biological systems.

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

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).