The data accompanies the manuscript that evaluates salinity-associated shifts in organic C thermodynamics, biochemical transformations, and heteroatom content in a first-order coastal watershed in the Olympic Peninsula of Washington state, USA. The files contain raw data including soil chemical...
Filter results
Category
- (-) Earth System Science (136)
- (-) National Security (21)
- (-) High-Performance Computing (1)
- Scientific Discovery (307)
- Biology (198)
- Human Health (102)
- Integrative Omics (73)
- Microbiome Science (42)
- Computational Research (23)
- Computing & Analytics (14)
- Chemistry (10)
- Energy Resiliency (9)
- Data Analytics & Machine Learning (8)
- Materials Science (7)
- Visual Analytics (6)
- Chemical & Biological Signatures Science (5)
- Computational Mathematics & Statistics (5)
- Weapons of Mass Effect (5)
- Atmospheric Science (4)
- Coastal Science (4)
- Ecosystem Science (4)
- Renewable Energy (4)
- Data Analytics & Machine Learning (3)
- Plant Science (3)
- Cybersecurity (2)
- Distribution (2)
- Electric Grid Modernization (2)
- Energy Efficiency (2)
- Energy Storage (2)
- Grid Cybersecurity (2)
- Solar Energy (2)
- Bioenergy Technologies (1)
- Computational Mathematics & Statistics (1)
- Grid Analytics (1)
- Subsurface Science (1)
- Terrestrial Aquatics (1)
- Transportation (1)
- Wind Energy (1)
Tags
- Omics (22)
- Soil Microbiology (21)
- sequencing (13)
- Genomics (10)
- Metagenomics (9)
- Microbiome (8)
- Fungi (6)
- High Throughput Sequencing (6)
- Imaging (6)
- Mass Spectrometry (6)
- Mass Spectrometer (5)
- Proteomics (5)
- Synthetic (5)
- metagenomics (4)
- Microscopy (4)
- Sequencer System (4)
- Sequencing (4)
- soil microbiology (4)
- Spectroscopy (4)
- Climate Change (3)
- IAREC (3)
- metabolomics (3)
- PerCon SFA (3)
- Synthetic Biology (3)
- Viruses (3)
- Cybersecurity (2)
- Lipidomics (2)
- microbiome stability (2)
- omics (2)
- species volatility (2)
Showing 61 - 75 of 156
Dataset
The innovative Elstar™ electron column forms the basis of the Helios NanoLab’s outstanding high resolution imaging performance. The Elstar features unique technologies, such as constant power lenses for higher thermal stability, electrostatic scanning for faster, higher accurate imaging, and unique...
Category
Dataset
The data accompanies the manuscript in review that evaluates salinity-associated shifts in organic C thermodynamics, biochemical transformations, and heteroatom content in a first-order coastal watershed in the Olympic Peninsula of Washington state, USA. The files contain raw data including soil...
Category
Dataset
This dataset contains the internal (log base 2 metabolite abundance) and external (plant biomass) phenotype data collected from 290 Brachypodium distachyon plants from 30 different accessions subjected to well-watered and underwatered treatment conditions. The data is contained in a comma separated...
Category
Soils give off carbon dioxide, generated by microbes and plant roots, to the atmosphere. How this “soil respiration” (Rs) varies in time, and how it is affected by nearby vegetation, is related to the processes driving it and has implications for how we estimate this flow of carbon across space and...
Category
The database contains observational analyses and model results that are used in publications, reports and/or manuscripts in review, related to climate and environmental changes of the Earth system, especially in high-latitude regions. This is for the HiLAT project, which is a SFA supported by DOE...
Category
Dataset
The database contains observational analyses and model results that are used in publications, reports and/or manuscripts in review, related to climate and environmental changes of the Earth system, especially in high-latitude regions. This is for the HiLAT project, which is a SFA supported by DOE...
Category
Dataset
Both the hourly and daily data are provided in the product. The hourly data are grouped by day in distinct NetCDF files, which are named as “EPIC_SW_PAR_Hourly_yyyymmdd.nc” where “yyyy”, “mm”, and “dd” denote year, month, and day (UTC time). The daily data are grouped by month in distinct NetCDF...
Category
Dataset
Both the hourly and daily data are provided in the product. The hourly data are grouped by day in distinct NetCDF files, which are named as “EPIC_SW_PAR_Hourly_yyyymmdd.nc” where “yyyy”, “mm”, and “dd” denote year, month, and day (UTC time). The daily data are grouped by month in distinct NetCDF...
Category
Dataset
Both the hourly and daily data are provided in the product. The hourly data are grouped by day in distinct NetCDF files, which are named as “EPIC_SW_PAR_Hourly_yyyymmdd.nc” where “yyyy”, “mm”, and “dd” denote year, month, and day (UTC time). The daily data are grouped by month in distinct NetCDF...
Category
Dataset
Both the hourly and daily data are provided in the product. The hourly data are grouped by day in distinct NetCDF files, which are named as “EPIC_SW_PAR_Hourly_yyyymmdd.nc” where “yyyy”, “mm”, and “dd” denote year, month, and day (UTC time). The daily data are grouped by month in distinct NetCDF...
Category
Dataset
Both the hourly and daily data are provided in the product. The hourly data are grouped by day in distinct NetCDF files, which are named as “EPIC_SW_PAR_Hourly_yyyymmdd.nc” where “yyyy”, “mm”, and “dd” denote year, month, and day (UTC time). The daily data are grouped by month in distinct NetCDF...
Category
Dataset
Both the hourly and daily data are provided in the product. The hourly data are grouped by day in distinct NetCDF files, which are named as “EPIC_SW_PAR_Hourly_yyyymmdd.nc” where “yyyy”, “mm”, and “dd” denote year, month, and day (UTC time). The daily data are grouped by month in distinct NetCDF...
Category
Dataset
Both the hourly and daily data are provided in the product. The hourly data are grouped by day in distinct NetCDF files, which are named as “EPIC_SW_PAR_Hourly_yyyymmdd.nc” where “yyyy”, “mm”, and “dd” denote year, month, and day (UTC time). The daily data are grouped by month in distinct NetCDF...
Category
Dataset
Both the hourly and daily data are provided in the product. The hourly data are grouped by day in distinct NetCDF files, which are named as “EPIC_SW_PAR_Hourly_yyyymmdd.nc” where “yyyy”, “mm”, and “dd” denote year, month, and day (UTC time). The daily data are grouped by month in distinct NetCDF...