Last updated on 2024-02-11T22:41:43+00:00 by LN Anderson Influenza A Virus Experiment ICL106 Metadata The purpose of this experiment was to evaluate the human host epigenetic response to Influenza A virus (subtype H5N1) infection. Samples were obtained from human lung adenocarcinoma cell line (Calu...

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...

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...

A pre-trained convolutional neural network was fine-tuned for three separate classification tasks, distinguishing 2D images of: 1) single amino acids, 2) protein structural ball and stick images of metalloproteins, and 3) protein structural ball and stick images of metalloenzymes with the metal...

We present a dataset of structural relaxations of bulk ternary transition metal dichalcogenides (TMDs) computed via plane-wave density functional theory (DFT). We examined combinations of up to two chalcogenides with seven transition metals from groups 4-6 in octahedral (1T) or trigonal prismatic...

Ice nucleating particles (INPs) are a rare subset of atmospheric aerosol that can initiate primary ice formation and thus trigger cloud glaciation. There is a significant gap between our ability to measure INPs and to predict their concentrations and variability in large-scale weather and climate...

The demonstrated success of transfer learning has popularized approaches that involve pretraining models from massive data sources and subsequent finetuning towards a specific task. While such approaches have become the norm in fields such as natural language processing, implementation and...

Please cite as : McClure R.S., M.R. Garcia, S.P. Couvillion, and K.S. Hofmockel. 2022. 16s MSC-2 Leaveout Data. [Data Set] PNNL DataHub. https://doi.org/10.25584/PNNLDH/1986543 Understanding how microorganisms within a soil community interact to support collective respiration and growth remains...

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...

Data comprised of 204, 103, 89, 66, 30, and 16 gas chromatography mass spectrometry (GC-MS) runs from human cerebrospinal fluid (CSF), standards, human blood plasma, human urine, fungi species (A. niger, A. nidulans, T. reesei), and soil crust, respectively Across 4,523,251 candidate matches, 13,487...