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...
Filter results
Category
- (-) Microbiome Science (42)
- (-) Computational Mathematics & Statistics (7)
- (-) Atmospheric Science (4)
- (-) Electric Grid Modernization (2)
- (-) Bioenergy Technologies (1)
- Scientific Discovery (309)
- Biology (200)
- Earth System Science (136)
- Human Health (104)
- Integrative Omics (74)
- Computational Research (25)
- National Security (22)
- Computing & Analytics (15)
- Chemistry (10)
- Energy Resiliency (10)
- Data Analytics & Machine Learning (9)
- Materials Science (7)
- Visual Analytics (6)
- Chemical & Biological Signatures Science (5)
- Renewable Energy (5)
- Weapons of Mass Effect (5)
- Coastal Science (4)
- Data Analytics & Machine Learning (4)
- Ecosystem Science (4)
- Plant Science (3)
- Cybersecurity (2)
- Distribution (2)
- Energy Efficiency (2)
- Energy Storage (2)
- Grid Cybersecurity (2)
- Solar Energy (2)
- Computational Mathematics & Statistics (1)
- Grid Analytics (1)
- High-Performance Computing (1)
- Subsurface Science (1)
- Terrestrial Aquatics (1)
- Transportation (1)
- Wind Energy (1)
Tags
- Omics (9)
- PerCon SFA (9)
- High Throughput Sequencing (8)
- Genomics (7)
- Sequencer System (5)
- Synthetic Biology (5)
- Mass Spectrometry (3)
- A. pittii SO1 (2)
- Amplicon Sequencing (2)
- Biological and Environmental Research (2)
- Cybersecurity (2)
- Electrical energy (2)
- Imaging (2)
- Long Read Sequencer (2)
- Machine Learning (2)
- Mass spectrometry data (2)
- Proteomics (2)
- RNA Sequence Analysis (2)
- Sorghum bicolor (2)
- Spectroscopy (2)
- Statistical Expression Analysis (2)
- Whole Genome Sequencing (2)
- Data Analysis (1)
- DOE (1)
- Environmental Microbiome Science (1)
- Lipidomics (1)
- Mass Spectrometer (1)
- metabolomics (1)
- Output Databases (1)
- Soil Microbiology (1)
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 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 the peat microbial biomass carbon (MBC) and nitrogen (MBN), extractable organic carbon (EOC) and extractable nitrogen (EN) at the time of peat coring for Deep Peat Heating (DPH) and Whole Ecosystem Warming (WEW) for 2014-2017 from the Spruce and Peatland Responses Under...
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...
Category
This data set provides the ingrowth peat extracellular enzyme potential (EE) for before and during Deep Peat Heating (DPH) and Whole Ecosystem Warming (WEW) for 2015-2016 from the Spruce and Peatlands Under Changing Environments (SPRUCE). EE potential was quantified and calculated following a...
Category
This data set provides the ingrowth peat extracellular enzyme potential (EE) for before and during Deep Peat Heating (DPH) and Whole Ecosystem Warming (WEW) for 2015-2016 from the Spruce and Peatlands Under Changing Environments (SPRUCE). EE potential was quantified and calculated following a...
Category
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...
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...
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
Last updated on 2024-04-19T19:12:08+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...
This dataset presents land surface parameters designed explicitly for global kilometer-scale Earth system modeling and has significant implications for enhancing our understanding of water, carbon, and energy cycles in the context of global change. Specifically, it includes four categories of...
A total of 172 children from the DAISY study with multiple plasma samples collected over time, with up to 23 years of follow-up, were characterized via proteomics analysis. Of the children there were 40 controls and 132 cases. All 132 cases had measurements across time relative to IA. Sampling was...
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...