The year 2014 solution files are based on model calibration effort based on inputs and data from Year 2014 as described in Khangaonkar et al. 2018). It includes water surface elevation, currents, temperature and salinity at an hourly interval. These netcdf files with 24 hourly records include...
Filter results
Category
- Scientific Discovery (375)
- Biology (260)
- Earth System Science (163)
- Human Health (112)
- Integrative Omics (73)
- Microbiome Science (47)
- National Security (31)
- Computational Research (25)
- Computing & Analytics (17)
- Chemical & Biological Signatures Science (12)
- Energy Resiliency (12)
- Weapons of Mass Effect (12)
- Materials Science (11)
- Chemistry (10)
- Data Analytics & Machine Learning (9)
- Computational Mathematics & Statistics (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)
- Cybersecurity (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
- Virology (77)
- Immune Response (51)
- Time Sampled Measurement Datasets (51)
- Differential Expression Analysis (46)
- Gene expression profile data (45)
- Homo sapiens (42)
- Predictive Phenomics (34)
- Mass spectrometry data (32)
- Multi-Omics (32)
- Viruses (28)
- Omics (26)
- Mass Spectrometry (24)
- Soil Microbiology (24)
- Health (23)
- Virus (23)
- MERS-CoV (19)
- Mus musculus (19)
- Proteomics (18)
- Synthetic (14)
- Genomics (13)
- sequencing (13)
- West Nile virus (13)
- High Throughput Sequencing (11)
- Influenza A (11)
- TA2 (11)
- Metagenomics (10)
- PerCon SFA (10)
- S. elongatus PCC 7942 (10)
- TA1 (10)
- Ebola (9)
Showing 286 - 300 of 20643
This GCAM-Demeter-LU is made available under the Open Data Commons Attribution License: http://opendatacommons.org/licenses/by/1.0/ . The dataset includes the projected global gridded land cover (excluding the Antarctic) for the period of 2015-2100 at 0.05-degree resolution and 5-year time step...
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...
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.
Interactive data plots for proteomics and phosphoproteomics data from tumor (n=83) and normal tissue from high-grade serous ovarian cancer.
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...