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...
Filter results
Category
- Scientific Discovery (302)
- Biology (195)
- Earth System Science (133)
- Human Health (100)
- Integrative Omics (75)
- Microbiome Science (42)
- Computational Research (20)
- National Security (19)
- Computing & Analytics (13)
- Chemistry (10)
- Data Analytics & Machine Learning (7)
- Energy Resiliency (7)
- Materials Science (7)
- Visual Analytics (6)
- Atmospheric Science (4)
- Chemical & Biological Signatures Science (4)
- Coastal Science (4)
- Ecosystem Science (4)
- Weapons of Mass Effect (4)
- Plant Science (3)
- Computational Mathematics & Statistics (2)
- Cybersecurity (2)
- Data Analytics & Machine Learning (2)
- Distribution (2)
- Electric Grid Modernization (2)
- Grid Cybersecurity (2)
- Renewable Energy (2)
- Bioenergy Technologies (1)
- Computational Mathematics & Statistics (1)
- Energy Efficiency (1)
- Grid Analytics (1)
- High-Performance Computing (1)
- Subsurface Science (1)
- Terrestrial Aquatics (1)
- Transportation (1)
- Wind Energy (1)
Tags
- Virology (81)
- Immune Response (53)
- Time Sampled Measurement Datasets (50)
- Gene expression profile data (47)
- Differential Expression Analysis (46)
- Mass spectrometry data (32)
- Multi-Omics (30)
- Viruses (26)
- Omics (25)
- Health (23)
- Virus (23)
- Soil Microbiology (21)
- MERS-CoV (18)
- Mass Spectrometry (14)
- Synthetic (14)
- sequencing (13)
- West Nile virus (13)
- Genomics (12)
- Ebola (11)
- Influenza A (11)
- PerCon SFA (10)
- High Throughput Sequencing (9)
- Metagenomics (9)
- Proteomics (9)
- Microbiome (8)
- Resource Metadata (8)
- Synthetic Biology (7)
- Imaging (6)
- Microarray (6)
- Spectroscopy (6)
Showing 20131 - 20145 of 20207
Dataset
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.
Dataset
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 Upload
[ { "id": 825530, "path": "srpCompendiumV1.tar.gz", "hashtype": "sha256", "hashsum": "d8ac1ede4b45499b6dce8cd38ec5a91bb2fd9032fa87de8b1be55b2d7348e7b6", "size": 5054409, "mimetype": "application\/x-gzip", "mtime": 1661441810 } ]
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...
Category
Interactive data plots for proteomics and phosphoproteomics data from tumor (n=83) and normal tissue from high-grade serous ovarian cancer.
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 dataset contains simple condensation mdoel output and CAM4 model output that were used to produce figures in the following paper: Wan, H., Woodward, C. S., Zhang, S., Vogl, C. J., Stinis, P., Gardner, D. J., Rasch, P. J., Zeng, X., Larson, V. E., and Singh, B. (2020): Improving time-step...