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1313 results found

NIST/ARPA-E Database of Novel and Emerging Adsorbent Materials

Data provided by  National Institute of Standards and Technology

The NIST/ARPA-E Database of Novel and Emerging Adsorbent Materials is a free, web-based catalog of adsorbent materials and measured adsorption properties of numerous materials obtained from article entries from the scientific literature. Search fields for the database include adsorbent material, adsorbate gas, experimental conditions (pressure, temperature), and bibliographic information (author, title, journal), and results from queries are provided as a list of articles matching the search parameters.

Modified:

Source: https://adsorption.nist.gov/isodb/index.php#apis

Results of single-cell and single-transcript measurements collected for Bias and Resolvability Attribution using Split Samples (BRASS) study

Data provided by  National Institute of Standards and Technology

Results of single-cell and single-transcript measurements collected as part of the Bias and Resolvability Attribution using Split Samples (BRASS) study. Each file is a list of fluorescence intensities per cell (or estimated RNA counts per cell), for each of 12 different methods, for 3 biological replicates.

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NIST Registry of Adsorbent Materials

Data provided by  National Institute of Standards and Technology

The NIST Registry of Adsorbent Materials is a free, web-based catalog of adsorbent materials and metadata describing those adsorbent materials. Each adsorbent material in the registry is assigned a registry ID to 1) allow unique identification adsorbents independent of arbitrary naming schemes (e.g., HKUST-1, CuBTC, Basolate C300® are the same material and have the same registry ID) and 2) enable cross referencing information about each material from outside databases and material registries.

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AWS-3 LTE Impacts on Aeronautical Mobile Telemetry

Data provided by  National Institute of Standards and Technology

This data is provided as a supplement to NIST Technical Note 2140, AWS-3 LTE Impacts on AMT, which presents test results assessing the impact of adjacent-band long term evolution (LTE) emissions on aeronautical mobile telemetry (AMT) systems. The data provided here is sufficient to reproduce all of the plots and analyses in Chapters 5 and 6, and Appendices B, C, D, and E, which present the data analysis results. All files are spreadsheets in comma-separated values (CSV) format, with labeled columns for various key performance indicators (KPIs) and test configurations.

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Software for solving large-scale generalized eigenvalue problems on distributed computers.

Data provided by  National Institute of Standards and Technology

Open source software for solving large-scale generalized eigenvalue problems on distributed computers. Suitable for large (80,000 by 80,000 or greater) dense matrices. Written in Fortran90+. Includes a test program and sample output. In particular, this distribution, MPI_GEVP_Package.tar.gz, consists of documentation (HowTo_MPI_GEVP_inviter.pdf), a collection of output files, and the software distribution itself.

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Evaluation of Timers Related to ProSe-based UE-to-Network Relays

Data provided by  National Institute of Standards and Technology

User Equipment (UE)-to-Network Relay functionality was introduced in Release 13 of the Third Generation Partnership Project (3GPP) Long Term Evolution (LTE) to extend and improve user connectivity. A UE connected to the network (relay UE) provides network access to another UE (remote UE) by establishing a direct one-to-one connection with it using the sidelink (SL) channels over the PC5 interface. The PC5 signaling is used for the establishment and maintenance of this direct connection, and different procedures and timers are linked to these processes.

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Open Media Forensics Challenge (OpenMFC) Evaluation Datasets

Data provided by  National Institute of Standards and Technology

The datasets contain the following parts for Open Media Forensics Challenge (OpenMFC) evaluations:
1. NC16 Kickoff dataset
2. NC17 development and evaluation datasets
3. MFC18 development and evaluation datasets
4. MFC19 development and evaluation datasets
5. MFC20 development and evaluation datasets
6. OpenMFC2022 steg datasets
7. OpenMFC2022 deepfake datasets

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Source: https://mfc.nist.gov

Estimating the Effect of 16 CFR Part 1633 on Fire Outcomes: Data Release

Data provided by  National Institute of Standards and Technology

This data set contains the data and scripts used to generate the tables in NIST Technical Note 2092. The tables as built by these scripts will differ from those in the published report in terms of formatting and will be in html, but otherwise will be identical to those in NIST Technical Note 2092.

The zip file contains five files, including R Data files containing data used in the analysis, an R Markdown script file, and R Data files containing results of the analysis.

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Closed-loop Autonomous Materials Exploration and Optimization 1.0

Data provided by  National Institute of Standards and Technology

Code and demonstration data for the paper, "On-the-fly closed-loop materials discovery via Bayesian active learning," Kusne, A.G., Yu, H., Wu, C. et al. Nat Commun 11, 5966 (2020). https://doi.org/10.1038/s41467-020 19597-w Code: Closed-loop autonomous materials exploration and optimization. This code is used to control an autonomous materials exploration and optimization platform. It guides subsequent experiments to learn about a material's phase map and target functional properties in a unified framework.

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HVAC SIMulation PLUS other systems (HVACSIM+)

Data provided by  National Institute of Standards and Technology

The first version of HVACSIM+, which stands for "HVAC SIMulation PLUS other systems", was introduced by National Institute of Standards and Technology (NIST) in 1985 as a computer simulation tool to simulate entire building systems. Since then, the HVACSIM+ computer program package and manuals have been distributed to researchers, students, and consultants in more than 40 countries around the world.

Modified:

Source: https://doi.org/10.18434/mds2-2295