Round 10 Train DatasetThis is the training data used to create and evaluate trojan detection software solutions. This data, generated at NIST, consists of object detection AIs trained on the COCO dataset. 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 dataset consists of 144 AI models using a small set of model architectures.

Round 10 Test Dataset

Round 10 Holdout Dataset

We obtained stylus profilometry measurements of Parylene C devices after soaking in different fluid conditions in a microfluidic environment. The Parylene C devices consist of platinum coplanar waveguides (400 nm Pt, 50 um center conductor, 5 um gaps, 200 um ground planes) with 6.5 um of Parylene C deposited on top. A PDMS microfluidic layer was aligned on top of the 10.00 mm CPW such that the 4.00 mm channel was centered on the CPW.

OSCAL Deep Diff is a CLI application and library that can produce schema-agnostic comparisons of JSON artifacts. The purpose of this tool is to compare OSCAL artifacts.

The Annual Social and Economic Supplement or March CPS supplement is the primary source of detailed information on income and work experience in the United States. Numerous publications based on this survey are issued each year by the Bureaus of Labor Statistics and Census. A public-use microdata file is available for private researchers, who also produce many academic and policy-related documents based on these data.

The PDB is a database of U.S. housing, demographic, socioeconomic and operational statistics based on select 2010 Decennial Census and select 5-year American Community Survey (ACS) estimates. Data are provided at the census block group level of geography. These data can be used for many purposes, including survey field operations planning.

The PDB is a database of U.S. housing, demographic, socioeconomic and operational statistics based on select 2010 Decennial Census and select 5-year American Community Survey (ACS) estimates. Data are provided at the census tract level of geography. These data can be used for many purposes, including survey field operations planning.

The NISTmAb Interlaboratory NMR Study is a joint effort between 25 organizations to evaluate the performance of two-dimensional (2D) heteronuclear NMR as used to characterize the high order structure (HOS) of proteins, with the aim of harmonizing 2D-NMR methods to support industrial use of NMR as applied to mAb therapeutics. This study features nearly equal representation between laboratories from academia, government, and industry, including 4 laboratories from regulatory agencies.

The following data files include microstructure measurement results associated with the 2022 Additive Manufacturing Benchmark test series (AM-Bench 2022) AMB2022-01 benchmark on laser powder bed fusion (LPBF) 3D builds of nickel-based superalloy IN718 test objects.