Round 8 Holdout Dataset

This dataset contains mechanical testing data at two different loading rates for two different aging conditions (wet and dry at 70 °C) for five different extraction time points for ultra high molar mass polyethylene (UHMMPE) unidirectional (UD) laminate. In each folder there is a spreadsheet (.csv) with the test data collected during loading, and a (.avi) video file for each of the tests done under those conditions.

The DVU dataset consists of 10 creative common movies for training and 4 creative common movies for testing used in the Deep Video Understanding grand challenges in 2020 and 2021. Total duration is about 17 hr.

A compilation of single fiber tensile tests for 6 different materials at 8 different gauge lengths. Fibers included are 3 different aramids, a liquid crystal polyester, regenerated cellulose, and nylon 6,6.

This dataset contains the raw data for the paper: Garey, W.; Henderson, T.; Sun, Y.; Rouil, R. and Gamboa, S. (2021). Modeling MCPTT and User Behavior in ns-3. In Proceedings of the 11th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - SIMULTECH, ISBN 978-989-758-528-9, pages 30-41. DOI: 10.5220/0010513200300041. This includes: Figure 4 - The talk spurt and talk session duration CDF. Figure 5 - Orchestrator pusher model example. Figure 7 - MCPTT Access Time for immediately granted requests with queuing disabled.

Flow cytometry measurements of FISH-labeled RNA at timepoints following rifampicin addition. These data folders contain raw data (.fcs files), analysis files, and summary statistics ("summary.csv") for each experiment. The "v1" data represent biological replicates. The "v2" data represent technical replicates of the original sample preparations for each experiment. Both "v2" datasets were collected on July 16, 2021.

The NIST scan framework is a framework that greatly simplifies the process of writing and maintaining scans of experimental parameters using the ARTIQ control system and language. The framework adopts the philosophy of convention over configuration where datasets are stored for analysis and plotting in a standard directory structure. The framework provides a number of useful features such as automatic calculation of statistics, fitting, validation of fits, and plotting that do not need to be performed by the user.

These four data files contain datasets from an interlaboratory comparison that characterized a polydisperse five-population bead dispersion in water. A more detailed version of this description is available in the ReadMe file (PdP-ILC_datasets_ReadMe_v1.txt), which also includes definitions of abbreviations used in the data files. Paired samples were evaluated, so the datasets are organized as pairs associated with a randomly assigned laboratory number.

Here we provide curated analytical chemistry data for eggs collected from 1999 to 2010 on a subset of species and analytes that were measured regularly and reasonably systematically. Included in this publication are 487 samples analyzed for 174 ubiquitous environmental contaminants such as (poly)brominated diphenyl ethers (BDEs), mercury, organochlorine pesticides (OCPs), and polychlorinated biphenyls (PCBs). Data were collated to form a dataset useful in chemometric and related analyses of the marine ecosystem in the north Pacific Ocean.

NIST collects and reports numerous metrics semiannually to the White House Office of Science and Technology Policy to demonstrate implementation of the NIST Plan for Public Access. These metrics include: the number of NIST data management plans (internal and external); the number of datasets listed on data.gov and made public on NIST's website; datasets accessed through NIST's data discovery tool; publications available through PubMed Central (PMC) and govinfo; and publications accessed through PMC.