This is the training data used to create and evaluate trojan detection software solutions. This data, generated at NIST, consists of RL agents operating in the Colorful Memory environment. 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 that trigger behavior in the trained AI models.

Closely related species of Salmonidae, including Pacific and Atlantic salmon, can be distinguished from one another based on nucleotide sequences from the cytochrome c oxidase sub-unit 1 mitochondrial gene (CO1), using ensembles of short-reads aligned to genetic barcodes that serve as digital proxies of the relevant species. This is accomplished by exploiting both the nucleotide sequences and their quality scores recorded in a FASTQ file obtained via Next Generation sequencing of mitochondrial DNA extracted from Coho salmon caught with hook and line in the Gulf of Alaska.

This repository includes the raw data, analysis code, and results of a systematic analysis of natural transformation (i.e., horizontal gene transfer; HGT) of bacteria in a naturally occurring microbiome (human stool) following exposure to free extracellular DNA (eDNA) that coded for antibiotic resistance. A full description of this effort is available in the associated publication. 

Accurate electric and acoustic material properties impact the agreement between modeled and measured piezoelectric device performance. Designing devices such acoustic transducers, filters, and duplexers requires accurate electrical permittivity, piezoelectric coefficients, and acoustic sound speed of the material. While there are methods for measuring some of these properties at a range of frequencies, there are few metrologies for measuring the relationships between nonlinear electric and acoustic properties, as given by the mixing products.

The data set contains the data for 20 cannabinoids and cannabinoid-related compounds computed with quantum-chemical methods. This includes the optimized geometries for the conformers and the corresponding rotational constants, vibrational frequencies, and electronic energies.

These datasets contain C-V2X network communication and interoperability testing packet data collected using a network sniffer (Wireshark) in the Packet Capture (PCAP) format and converted into the Packet Description Markup Language (PDML) format. These datasets include three testcases: C-V2I, C-V2V, and C-V2X. These datasets can be used to display, analyze, and assess C-V2X compatibility and interoperability among commercial on-board units (OBUs) and road-side units (RSUs) based on IEEE 1609.2, IEEE 1609.3, and SAE J2735 standards.

Computer security educational material and assignments featuring automated testing.

Security Invite automates testing of assignments independent of the tools used for development, interface, and persistence. It promotes sharing of security-specific testing and education while enhancing student's skills in cyber-security-conscious programming.

Figure data for "Interlaboratory comparison of cavity resonator measurements for complex permittivity to 170 GHz"

To bridge the gap between the development of greenhouse gas (GHG) and air quality (AQ) emission inventories, we developed the GReenhouse gas And Air Pollutant Emissions System (GRA2PES), which provides self-consistent GHG and AQ emissions over the contiguous U.S. This inventory provides emissions at 4 km x 4 km spatial resolution with year, month, day-of-week, and diurnal temporal information. GRA2PES utilizes datasets from the U.S. Energy Information Administration (EIA) and the U.S.

Given a topic description and some example relevant documents, build a filtering profile which will select the most relevant examples from an incoming stream of documents. In the TREC 2002 filtering task we will continue to stress adaptive filtering. However, the batch filtering and routing tasks will also be available.