Validation data and software for the paper, "ATIC: Automated Testbed for Interference Testing in Communication Systems," to appear in Proceedings of 2023 IEEE Military Communications Conference. See the README file for descriptions of the data files. Software is available at https://github.com/usnistgov/atic.

Data tables for Energy Price Indices and Discount Factors for Life-Cycle Cost Analysis - 2023: Annual Supplement to NIST Handbook 135. Starting in 2022, the data tables for the annual supplement within the text document has been extracted and provided in a supplemental spreadsheet.

The following data files include in-situ thermographic measurement results, scan strategy, and various additional data associated with laser powder bed fusion (LPBF) 3D builds of nickel-based superalloy IN718 test objects for the 2022 Additive Manufacturing Benchmark (AM-Bench) test series. These data are associated with the AMB2022-01 series of modeling challenges described here: https://www.nist.gov/ambench/amb2022-01-benchmark-measurements-and-chal….

Database of MRI quantitative measurements gathered from literature and experimental studies, for tissues and synthetic materials.Additionally, a code base is provided to aid in finding MRI tissue relaxation times for a target field strength, and to provide functionality to solve for tissue mimic composition given target tissue relaxation times.

Round rl-randomized-lavaworld-aug2023-train Train DatasetThis is the training data used to create and evaluate trojan detection software solutions. This data, generated at NIST, consists of Reinforcement Learning agents trained to navigate the Lavaworld Minigrid 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 which trained AI models have been poisoned via embedded triggers.

Mobile manipulators, which are robotic systems integrating an automatic or autonomous mobile base with a manipulator, can potentially enhance automation in many industrial and unstructured environments. Namely, large-scale manufacturing processes, typical in the aerospace, energy, transportation, and conformal additive manufacturing fields, encompass a notable subset of potential future mobile manipulator use-cases.

Recent advances in Rydberg atom electrometry detail promising applications in radiofrequency (RF) communications. Presently, most applications use carrier frequencies greater than 1 GHz where resonant Autler-Townes splitting provides the highest antenna sensitivity. This letter documents a series of experiments with Rydberg atomic antennas to collect and process waveforms from the automated identification system (AIS) used in maritime navigation in the VHF band. This is difficult with conventional resonant Autler-Townes based Rydberg sensing.

nlp-question-answering-aug2023-trainThis is the train data used to evaluate trojan detection software solutions. This data, generated at NIST, consists of natural language processing (NLP) AIs trained to perform 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.

"module-utilities" is a python package of utilities to simplify working with python packages.The main features of `module-utilities` are as follows: "cached" module: A module to cache class attributes and methods. Right now, this uses a standard python dictionary for storage. Future versions will hopefully be more robust to threading and shared cache."docfiller" module: A module to share documentation. This is adapted from the pandas `doc` decorator.

A table of known interferences for per- and polyfluoroalkyl substances using mass spectrometry.