Provides demographic information on persons who did and did not register to vote. Also measures number of persons who voted and reasons for not registering.

A list of structures (and other identifiers) of possible per- and polyfluoroalkyl substances (PFAS). The data provided in the PFAS Suspect List has been aggregated from public sources and users, including peer-reviewed literature, patent literature, and public websites. Therefore, the quality and accuracy of the compound names, structures, and other properties have not been validated. The National Institute of Standards & Technology does not endorse or provide any assessment of confidence with the information provided.

Round 5 Test DatasetThis is the test 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 text sentiment classification 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.

Round 5 Holdout DatasetThis is the holdout 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 text sentiment classification 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.

Round 6 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 text sentiment classification 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.

Post-Enumeration Survey estimates of net coverage error and components of census coverage for the 2020 Census.

The American Community Survey (ACS) is a nationwide survey designed to provide communities a fresh look at how they are changing. The ACS replaced the decennial census long form in 2010 and thereafter by collecting long form type information throughout the decade rather than only once every 10 years. Questionnaires are mailed to a sample of addresses to obtain information about households -- that is, about each person and the housing unit itself.

Supporting datasets and algorithms (R-based) for the manuscript entitled "Development of a Tool to Determine the Variability of Consensus Mass Spectra", including an R Markdown script to reproduce the manuscript's figures.

he set of NIST Test PIV Cards contains sixteen smart cards that are loaded with a PIV Card Application, as specified in NIST Special Publication 800-73-4. The PIV Card Applications on the smart cards are loaded with test data and keys that are similar to what might appear on actual PIV Cards, with the exception that the certificates on the test PIV Cards were issued from a test public key infrastructure.

Round 6 Test DatasetThis is the test 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 text sentiment classification 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.