Please cite as : Naylor D.T., K.I. Naasko, M.L. Smith, S.P. Couvillion, C.D. Nicora, J.B. Trejo, and S.C. Fransen, et al. 2023. Metatranscriptomic Analysis of Soil. [Data Set] PNNL DataHub. https://doi.org/10.25584/1986545 RNA was collected from soil at different depths and after three different...

16S amplicon fastq files to be associated with PhenoSelection manuscript.

The presentation and supporting information provide data on the performance of an engineering-scale cross-flow heat exchanger used in hydrothermal liquefaction (HTL). Temperature profiles are provide for the process of waste water treatment sludges and a food waste. The data can be used to model...

This dataset is a SQL version of the Department of Energy (DOE) Public Reading Room holdings. It has been publicly available for decades. The Freedom of Information Act (FOIA) requires certain kinds of documents be made available to the public for inspection and copying. The collection includes...

CO2 Capture CFD (C3FD) dataset contains STAR-CCM+ simulations of a CO2-capturing solvent flowing across packing structures in a column. This dataset contains 50 2D and 50 3D simulations, each of which spans 500 timesteps. The 2D and 3D simulation meshes have 150,073 and 3,129,815 nodes, respectively...

Last updated on 2023-03-21T18:35:22+00:00 by LN Anderson SAGE-RTP RT-PCR Amplicon Sequencing Barcode Count Analysis Promoter expression data for five bacterial species associated with the Serine recombinase Assisted Genome Engineering (SAGE) research project. Raw Measurement Data NCBI BioProject...

Please cite as : Naasko K.I., D.T. Naylor, E.B. Graham, S.P. Couvillion, R.E. Danczak, N. Tolic, and C.D. Nicora, et al. 2023. Influence of soil depth, moisture, and plants on multi-omic features and carbon chemistry in a calcareous soil: Sequence Data. [Data Set] PNNL DataHub. https://doi.org/10...

Please cite as : Naasko K.I., D.T. Naylor, E.B. Graham, S.P. Couvillion, R.E. Danczak, N. Tolic, and C.D. Nicora, et al. 2023. Influence of soil depth, moisture, and plants on multi-omic features and carbon chemistry in a calcareous soil: Summary Data. [Data Set] PNNL DataHub. https://doi.org/10...

This data is supplementary to the manuscript Expanding the access of wearable silicone wristbands in community-engaged research through best practices in data analysis and integration by Lisa M. Bramer, Holly M. Dixon, David J. Degnan, Diana Rohlman, Julie B. Herbstman, Kim A. Anderson, and Katrina...

Please cite as : Wu R., A.E. Zimmerman, and K.S. Hofmockel. 2023. RNA viruses in grassland soils (Prosser, WA). [Data Set] PNNL DataHub. https://data.pnnl.gov/group/nodes/dataset/33706 The data is comprised of RNA viral sequences that were bioinformatically screened from the de novo assemblies of...

This website contains the dataset that was used for writing the manuscript "HT Model: Using the Molecular Transformer for predicting hydrotreating reactions" The dataset includes a collection of hydrotreating reactions compiled from 41 peer-reviewed literature sources. These sources contain...

Surface meteorological data collected from the PNNL - Sequim "Upstairs" Campus. The data is collected by various instruments manufactured by Campbell Scientific deployed on a 3m tripod. The variables measured at this station are wind direction, wind speed, air temperature, relative humidity, surface...

The utility of transfer learning to improve the performance of deep learning in axon segmentation Data NOTE: If the download button doesn't work, please find the data here . Data: All the input and labeled volumes tf-logs: Tensorflow logs, view with command "tensorboard --logdir [name of folder]"...

We have aggregated the most recent soil moisture datasets from a diverse range of sources, encompassing the Continental United States (CONUS). These sources encompass gridded data from remote sensing products, reanalysis products, machine learning-based projects, and land surface modeling products...

Extreme weather events, including fires, heatwaves(HWs), and droughts, have significant impacts on earth, environmental, and power energy systems. Mechanistic and predictive understanding, as well as probabilistic risk assessment of these extreme weather events, are crucial for detecting, planning...