This data set provides ITS fungal community composition via DNA sequence analysis at the time of peat coring at the South End bog in 2013. These samples were collected outside the experimental enclosures and are pre-treatment with no experimental manipulation. These are part of the Spruce and...

This data set provides ITS fungal community composition via DNA and cDNA sequence analysis at the time of peat coring for Deep Peat Heating (DPH) and Whole Ecosystem Warming (WEW) for 2014-2017 from the Spruce and Peatlands Under Changing Environments (SPRUCE). Samples were extracted using a Qiagen...

This data set provides the ITS fungal community composition via DNA and cDNA sequence analysis for peat and sand ingrowth cores collected before and during Deep Peat Heating (DPH) and Whole Ecosystem Warming (WEW) for 2015-2016 from the Spruce and Peatlands Under Changing Environments (SPRUCE)...

This data set provides the 16S microbial community composition via DNA sequence analysis at the time of peat coring at the South End bog in 2013. These samples were collected outside the experimental enclosures and are pre-treatment with no experimental manipulation. These are part of the Spruce and...

Last updated on 2024-02-11T22:41:43+00:00 by LN Anderson Influenza A Virus Experiment ICL105 Metadata The purpose of this experiment was to evaluate the host epigenetic response to Influenza A virus (subtype H5N1) infection. Sample data was obtained from human lung adenocarcinoma cells (Calu-3) and...

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...

Simulated x-ray absorption spectra calculated with the FEFF code for various models of Cu incorporated into the iron oxide mineral hematite. The structures are drawn from publically available ab initio molecular dynamics simulations.

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...

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...

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...

Boreal peatlands are important global carbon reservoirs that are particularly vulnerable to predicted climate changes such as increasing CO2 and temperature. Since microbial activities regulate the balance of carbon sequestered into soil organic matter or remineralized to CO2, characterizing their...

Cloud-resolving model simulations using the Weather Research and Forecasting (WRF) model v3.6.1 with the spectral-bin microphysics for a locally occurring system on 17 March 2014. The dataset includes the model code and simulation outputs.

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...

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 ”...

Please cite as : McClure R.S., Y. Farris, R.E. Danczak, W.C. Nelson, H. Song, A. Kessler, and J. Lee, et al. 2022. Model Soil Consortium 2 (MSC-2) Bacterial Isolate Genomes. [Data Set] PNNL DataHub. https://doi.org/10.25584/PNNLDH/1986536 Model Soil Consortium 2 (MSC-2) Bacterial Isolate Genomes...