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...
Filter results
Category
- Scientific Discovery (223)
- Biology (140)
- Earth System Science (111)
- Human Health (88)
- Integrative Omics (68)
- Microbiome Science (25)
- National Security (19)
- Computing & Analytics (14)
- Computational Research (13)
- Energy Resiliency (10)
- Data Analytics & Machine Learning (8)
- Visual Analytics (6)
- Renewable Energy (5)
- Coastal Science (4)
- Computational Mathematics & Statistics (4)
- Atmospheric Science (3)
- Chemical & Biological Signatures Science (3)
- Chemistry (3)
- Data Analytics & Machine Learning (3)
- Ecosystem Science (3)
- Weapons of Mass Effect (3)
- Cybersecurity (2)
- Distribution (2)
- Electric Grid Modernization (2)
- Energy Efficiency (2)
- Energy Storage (2)
- Grid Cybersecurity (2)
- Materials Science (2)
- Solar Energy (2)
- Bioenergy Technologies (1)
- Computational Mathematics & Statistics (1)
- Grid Analytics (1)
- High-Performance Computing (1)
- Plant Science (1)
- Subsurface Science (1)
- Terrestrial Aquatics (1)
- Transportation (1)
- Wind Energy (1)
Dataset Type
- Omics (86)
- Transcriptomics (51)
- Proteomics (39)
- Sequencing (39)
- Metabolomics (28)
- Lipidomics (26)
- Simulation Results (17)
- Amplicon (16S, ITS) (15)
- Metagenomics (9)
- Microarray (9)
- Computed Analysis (4)
- Genomics (4)
- ChIP-seq (2)
- Geospacial (2)
- Staff (2)
- Cybersecurity (1)
- Electromagnetic Spectrum (1)
- Mass Spectra (1)
- Microscopy (1)
- Phenomics (1)
- Whole genome sequencing (WGS) (1)
Tags
- Virology (69)
- Immune Response (53)
- Time Sampled Measurement Datasets (50)
- Gene expression profile data (47)
- Differential Expression Analysis (46)
- Homo sapiens (34)
- Mass spectrometry data (31)
- Multi-Omics (28)
- Omics (20)
- MERS-CoV (18)
- Mus musculus (18)
- Synthetic (14)
- Viruses (14)
- Health (13)
- Soil Microbiology (13)
- Virus (13)
- West Nile virus (13)
- Ebola (11)
- Influenza A (11)
- Genomics (10)
- Resource Metadata (9)
- sequencing (9)
- High Throughput Sequencing (7)
- Metagenomics (7)
- Human Interferon (6)
- Machine Learning (6)
- Microarray (6)
- Omics-LHV Project (6)
- Proteomics (6)
- Type 1 Diabetes (6)
Showing 91 - 105 of 371
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
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...