This dataset presents measurements from the NIST Net-Zero Energy Residential Test Facility (NZERTF) for a full year of operation. The NZERTF is a laboratory built in the form of a single-family house that serves as a testbed for technologies and operational strategies to achieve energy efficient performance while maintaining a healthy and comfortable indoor environment. The facility is equipped with well-instrumented heating, cooling, ventilation, water heating, lighting, and electrical subsystems as would be present in an efficient home.

McCandlish and Stoltzfus gathered data from deep mutational scanning experiments on 12 proteins, comprising 56641 distinct amino acid replacement mutations. By converting fitnesses to within-study quantiles, they combined results from all studies to draw general conclusions about distributions of fitness effects for the 380 different types of possible amino acid changes in proteins. They found that most replacements are neither conservative nor radical, but barely different from the background distribution.

These measurements were performed as part of the 2018 Additive Manufacturing Benchmark Test Series (AM-Bench). This dataset and the associated experiments are part of a continuing series of controlled benchmark tests, in conjunction with a conference series, with two initial goals, 1) to allow modelers of Additive Manufacturing processes to test their simulations against rigorous, highly controlled additive manufacturing benchmark test data, and 2) to encourage additive manufacturing practitioners to develop novel mitigation strategies for challenging build scenarios.

This data is for ROC curve plots from the publication, "Detection of Incumbent Radar in the 3.5 GHz CBRS Band", Raied Caromi, Michael Souryal, and Wen-Bin Yang, IEEE GlobalSIP, Nov. 2018, Anaheim, CA.
The ROC curves represent performance of federal incumbent radar detection in the 3.5 GHz CBRS band using field-measured waveforms. The data is for the following figures:

A python module for consensus analysis in interlaboratory studies

The dataset contains both the robot's high-level tool center position (TCP) health data and controller-level components' information (i.e., joint positions, velocities, currents, temperatures, currents). The datasets can be used by users (e.g., software developers, data scientists) who work on robot health management (including accuracy) but have limited or no access to robots that can capture real data. The datasets can support the:

This dataset provides surface height data from nickel super alloy 625 experiment samples built through laser powder bed fusion additive manufacturing. The experiment methodically varied part position and orientation relative to the build plate and recoater blade and details of the experiment and dataset are available in a Journal of Research at NIST article.

Flexible Unidirectional (UD) composite laminates are commonly being used for ballistic-resistant body armor. These laminates comprise UD layers, each constructed by laminating thin layers of high-performance fibers held in place using binder resins, with the fibers in each layer oriented parallel to each other. As these materials are used in body armor, it is important to investigate their long-term reliability, particularly with regards to exposure to temperature and humidity as these are known causes of degradation in other commonly used body armor materials.

Liquid chromatography tandem mass spectrometry allows for the measurement of steroid hormone suites in the blubber of marine mammals. By combining this technology with remote biopsy collection, endocrine profiles can be assessed, allowing for studies of hormonal profile variation over time. In this study, we explored associations among different steroidogenic pathways and seasonal differences in blubber hormone profiles of free-ranging common bottlenose dolphins along the coast of South Carolina, USA.

This dataset contains the results of simulated deployments of Environmental Sensing Capability (ESC) sensors along the coasts of the contiguous United States in the 3.5 GHz band. The Federal Communications Commission rules for spectrum sharing operation in this band require the ESC sensors to detect the presence of a federal incumbent shipborne radar for interference protection.