This dataset presents statistics on: the number of establishments; sales, value of shipments, or revenue; annual payroll; number of employees; and response coverage of franchise inquiry, by franchise status for selected industries for the U.S. and states (only for sector 72). Includes only establishments of firms with paid employees.

This dataset includes templates to assist with laboratory implementation of direct analysis in real time mass spectrometry (DART-MS) for seized drug analysis. These templates should be modified as necessary to meet the needs of the particular laboratory. Certain commercial equipment, instruments, or materials are identified in this paper in order to specify the experimental procedure adequately.

This page hosts the AbsorbanceQ app which generates absorbance images from brightfield image captures. Absorbance microscopy can be used to make trypan blue cell viability measurements more quantitative and traceable by measuring the moles of trypan blue in each dead cell. AbsorbanceQ was written in MATLAB and can be downloaded as a .zip file. When unzipped, the program will be installed and can run as a standalone .exe file with no dependencies beyond the operating system. This website includes images that can be downloaded to validate that AbsorbanceQ is functioning properly.

SRM 2969 Electronic files containing certified values and their uncertainties, and the data used to assign those values

Electronic files containing certified values and their uncertainties, and the data used to assign those values.

The National Institute of Standards and Technology, Intelligent Systems Division has collected data measuring human subjects, while performing common, simulated industrial manufacturing tasks with and without wearing an exoskeleton. Five tests were completed as part of a research study to develop measurement science towards standard test methods. For simulated industrial manufacturing tasks were performed using a novel, now standardized apparatus, called the Position and Load Test Apparatus for Exoskeletons (PoLoTAE).

The data, source code and scripts included in this dataset are used to generate the results presented in the manuscript "The min-max test: an objective method for discriminating mass spectra" by Moorthy and Sisco. The manuscript explores a new method for objectively discriminating electron ionization mass spectra, a task that is commonplace when compounds are closely eluting in gas chromatography mass spectrometry. The C++ source codes and R analysis scripts can be extended for other application areas.

The dataset can be used to develop and test algorithms for communication and sensing in the 60GHz band. The dataset consists of synthetically generated indoor mm-wave channels between a MIMO transmitter and a MIMO receivers. Multiple targets are moving in the room. Number of targets, velocity of each target and trajectory are randomized across the dataset. The dataset contains also noisy received IEEE 802.11ay channel estimation fields. The dataset is suitable for development and testing of machine/deep learning algorithms.

The translator implements the SysML Extension for Physical Interaction and Signal Flow Simulation (SysPhS), version 1.1. It can generate Modelica and Simulink/Simscape files from SysML models extended according to the SysPhS specification. This dataset binary and source code for the translator, as well as a set of SysML models that can be translated into simulation models. Disclaimer: Certain commercial equipment, instruments, or materials are identified in this dataset to specify the experimental procedure adequately.

The BBC Land Girls TV series is a 3 season series. Each season is 5 episodes of about 45mins each. The TRECVID group at NIST worked with the BBC Corp. to release the dataset to the research community to work on video understanding tasks. Unfortunately, the hosting arrangement for the dataset was not successful and the release of the video dataset couldn't be done. We are releasing the annotations conducted by NIST, without any video data, so that the researchers interested in working on knowledge graph understanding and natural language analysis can take advantage of them.