Please cite as : McClure R.S., Y. Farris, R.E. Danczak, W.C. Nelson, H. Song, A. Kessler, and J. Lee, et al. 2022. Metatranscriptomic data from MSC-2. [Data Set] PNNL DataHub. https://data.pnnl.gov/group/nodes/dataset/33232 Metatranscriptomic data from MSC-2 12 fastq files (6 forward read, 6 reverse...

Structures of putative minima and low-energy networks for water clusters of sizes n = 3–30 as described in the manuscript by Avijit Rakshit and Pradipta Bandyopadhyay, Joseph P. Heindel and Sotiris S. Xantheas “ Atlas of putative minima and low-lying energy networks of water clusters n=3-25 ”...

A trained neural net potential (NNP) was use to simulate shear in the [011] direction in Cu-Ni multilayers. We applied the NNP to a Monte Carlo scheme to generate parallel shear simulations, demonstrating the range of possible trajectories that can be obtained due to speedups provided by the NNP...

Cu-Ni bilayers either without defects (pristine) or with a single vacancy in the nickel layer at the interface (1-Ni-1), in the copper layer at the interface (1-Cu-1), in the central nickel layer (1-Ni-3), or in the central copper layer (1-Cu-3) were relaxed under the application of shear in the...

This dataset includes one baseline and three cybersecurity based scenarios utilizing the IEEE 9 Bus Model. This instantiation of the IEEE 9 model was built utilizing the OpalRT Simulator ePhasorsim module, with Bus 7 represented by hardware in the loop (HiL). The HiL was represented by two SEL351s...

The PNNL-PFAS database was constructed to provide quantitative infrared spectra of per- and polyfluoroalkyl substances (PFAS) in the gas phase. These fluorine-rich, organic compounds have been used as non-flammable solvents, cleaning agents, and in the manufacture of a diverse variety of consumer...

Version of previously released anthropogenic SO2 emissions data re-generated with altered spatial distributions for shipping emissions for use in the Emissions-MIP model inter-comparison project. Also included are 30% and 60% global reductions in shipping SO2 emissions.

Rapid remodeling of the soil lipidome in response to a drying-rewetting event - Multi-Omics Data Package DOI Data package contents reported here are the first version and contain pre- and post-processed data acquisition and subsequent downstream analysis files using various data source instrument...

The continual growth in energy demand has resulted in the deployment of renewable energy generators to reduce the impact of fossil fuel dependence. However, these generators often suffer from intermittency and require energy storage when there is over-generation and the subsequent release of this...

ProxyTSPRD profiles are collected using NVIDIA Nsight Systems version 2020.3.2.6-87e152c and capture computational patterns from training deep learning-based time-series proxy-applications on four different levels: models (Long short-term Memory and Convolutional Neural Network), DL frameworks...

Welcome to the Short-Lived Fission Product Gamma Data website! You will find experimental information as well as gamma spectra from the unseparated fission products of U-233, U-235, U-238, Np-237, and Pu-239 exposed to neutron spectra of various energies. The pdf file titled "Experimental and Data...

CMIP6 historical anthropogenic emissions data from 1980 - 2019 mapped to a 0.1° global grid. The underlying data is identical to that from the 0.5° v2021_04_21 version of this also available at this archive. The 0.5° data was downscaled to 0.1° using 0.1° proxy data from EDGAR. See: https://github...

Last updated on 2024-03-21T18:47:20+00:00 by LN Anderson MPLEx Method Protocol for Integrative Single-Sample Processing for Subsequent Proteomic, Metabolomic, and Lipidomic Analyses Method Source Contributions LN Anderson , Data Curation The Metabolite, Protein and Lipid Extraction (MPLEx) method...

This dataset includes the results of high-fidelity, hardware in the loop experimentation on simulated models of representative electric and natural gas distribution systems with real cyber attack test cases. Such datasets are extremely important not only in understanding the system behavior during...

Ice nucleating particles (INPs) are a rare subset of particles that can have an outsized impact relative to their prevalence. To simulate INP variability, models require parameterizations for the most important sources of INPs. Most parameterizations in the literature were developed from laboratory...