Data package for Lipids represent a dynamic, yet stable pool of microbially-derived soil carbon This data is published under a CC0 license . The authors encourage data reuse and request attribution by referencing the below citations for the data packages and associated manuscript. Please cite as...
Filter results
Category
- (-) Microbiome Science (47)
- (-) Cybersecurity (2)
- Scientific Discovery (369)
- Biology (258)
- Earth System Science (161)
- Human Health (112)
- Integrative Omics (73)
- National Security (31)
- Computational Research (25)
- Computing & Analytics (17)
- Chemical & Biological Signatures Science (12)
- Energy Resiliency (12)
- Weapons of Mass Effect (12)
- Chemistry (10)
- Data Analytics & Machine Learning (9)
- Computational Mathematics & Statistics (7)
- Materials Science (7)
- Atmospheric Science (6)
- Data Analytics & Machine Learning (6)
- Renewable Energy (6)
- Visual Analytics (6)
- Coastal Science (4)
- Ecosystem Science (4)
- Energy Storage (3)
- Plant Science (3)
- Solar Energy (3)
- Bioenergy Technologies (2)
- Distribution (2)
- Electric Grid Modernization (2)
- Energy Efficiency (2)
- Grid Cybersecurity (2)
- Transportation (2)
- Computational Mathematics & Statistics (1)
- Grid Analytics (1)
- High-Performance Computing (1)
- Subsurface Science (1)
- Terrestrial Aquatics (1)
- Wind Energy (1)
Tags
- Omics (10)
- PerCon SFA (9)
- High Throughput Sequencing (8)
- Genomics (7)
- Sequencer System (5)
- Synthetic Biology (5)
- Mass Spectrometry (3)
- Soil Microbiology (3)
- A. pittii SO1 (2)
- Amplicon Sequencing (2)
- Biological and Environmental Research (2)
- Cybersecurity (2)
- Electrical energy (2)
- Imaging (2)
- Long Read Sequencer (2)
- Mass spectrometry data (2)
- Proteomics (2)
- RNA Sequence Analysis (2)
- Soil (2)
- Sorghum bicolor (2)
- Spectroscopy (2)
- Statistical Expression Analysis (2)
- Whole Genome Sequencing (2)
- DOE (1)
- Lipidomics (1)
- Mass Spectrometer (1)
- metabolomics (1)
- Metagenomics (1)
- Output Databases (1)
- Viruses (1)
Please cite as : RodrĂguez-Ramos, JosuĂ©, Natalie Sadler, Elias K. Zegeye, Yuliya Farris, Samuel Purvine, Sneha Couvillion, William C. Nelson, and Kirsten Hofmockel. Environmental matrix and moisture are key determinants of microbial phenotypes expressed in a reduced complexity soil-analog. [Data Set...
Last updated on 2024-09-17T15:49:08+00:00 by LN Anderson PerCon SFA: Profiling sorghum-microbe interactions with a specialized photoaffinity probe identifies key sorgoleone binders in Acinetobacter pitti Mass spectrometry-based global proteome analysis and SoDA-PAL photoaffinity probe labeled...
Last updated on 2023-05-31T16:35:53+00:00 by LN Anderson PerCon SFA: Sequencing of Sorgoleone Promoting Rhizobacteria Isolates Whole genome sequencing (WGS) of sorgoleone utilizing rhizobacteria strains Pseudomonas sorgoleonovorans SO81 , Burkholderia anthina SO82 , and Acinetobacter pittii SO1 , as...
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...
Last updated on 2024-10-04T19:31:35+00:00 by LN Anderson Activity-Based Probe Fluorescence-Activated Cell Sorting (ABP-FACS) of Soil Microbes (NR-DP0) Soil samples were incubated with either 0.2% cellobiose for three days or 0.2% xylan for nine days. Microbes were extracted from the soil matrix...
Category
Please cite as : McClure R.S., Y. Farris, R.E. Danczak, W.C. Nelson, H. Song, A. Kessler, and J. Lee, et al. 2022. 16s data from MSC-2 growth. [Data Set] PNNL DataHub. https://data.pnnl.gov/group/nodes/dataset/33231 16s data from MSC-2 growth 3 fastq of 16s amplicon data of MSC2 1 csv file of raw...
Category
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...
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...
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)...
Category
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...
Category
This data set provides the 16S microbial community composition via DNA sequence analysis from ingrowth peat and sand cores 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...
Category
This data set provides the 16S microbial community composition of peat and sand ingrowth cores via DNA and cDNA sequence analysis before and during Deep Peat Heating (DPH) and Whole Ecosystem Warming (WEW) for 2015-2016 from the Spruce and Peatlands Under Changing Environments (SPRUCE). Samples were...
Category
This data set provides the 16S microbial community composition via DNA and cDNA sequence analyses 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...
Category
This data set provides the ingrowth peat microbial biomass carbon (MBC) and nitrogen (MBN), extractable organic carbon (EOC) and extractable nitrogen (EN) for Deep Peat Heating (DPH) and Whole Ecosystem Warming (WEW) for 2015-2016 from the Spruce and Peatland Responses Under Changing Environments...