Gas chromatography-mass spectrometry-based metabolomics to identify molecular signatures of Type 1 Diabetes (T1D) in urine. We utilize three cohorts in different stages post-diagnosis: (1) new onset, (2) within one year of diagnosis and (3) after 6 years of diagnosis. There were 91 metabolites...
Filter results
Category
- Scientific Discovery (324)
- Biology (215)
- Earth System Science (138)
- Human Health (102)
- Integrative Omics (72)
- Microbiome Science (44)
- Computational Research (25)
- National Security (22)
- Computing & Analytics (15)
- Chemistry (10)
- Energy Resiliency (10)
- Data Analytics & Machine Learning (9)
- Computational Mathematics & Statistics (7)
- Materials Science (7)
- Visual Analytics (6)
- Chemical & Biological Signatures Science (5)
- Renewable Energy (5)
- Weapons of Mass Effect (5)
- Atmospheric Science (4)
- Coastal Science (4)
- Data Analytics & Machine Learning (4)
- Ecosystem Science (4)
- 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)
- High-Performance Computing (1)
- Subsurface Science (1)
- Terrestrial Aquatics (1)
- Transportation (1)
- Wind Energy (1)
Tags
- Virology (77)
- Immune Response (51)
- Time Sampled Measurement Datasets (50)
- Differential Expression Analysis (46)
- Gene expression profile data (45)
- Homo sapiens (34)
- Mass spectrometry data (31)
- Multi-Omics (31)
- Viruses (28)
- Omics (26)
- Health (23)
- Soil Microbiology (23)
- Virus (23)
- MERS-CoV (18)
- Mus musculus (18)
- Mass Spectrometry (16)
- Synthetic (14)
- Genomics (13)
- Predictive Phenomics (13)
- sequencing (13)
- West Nile virus (13)
- Influenza A (11)
- Metagenomics (10)
- PerCon SFA (10)
- Ebola (9)
- High Throughput Sequencing (9)
- Proteomics (9)
- Microbiome (8)
- Machine Learning (7)
- Microarray (7)
so_rf13_open_1.0x
27 - so_rf13_closed_2.0x
so_rf13_open_2.0x
so_rf13_open_0.5x
V3 so_rf13_closed_0.5x
cset_17July_1.0x
sgp_30Aug2016a_0.5x
ena_25Jan_1.0x
V3 so_rf13_closed_1.0x
ena_19Jan_2.0x
cset_7Aug_2.0x This dataset consists of input files and model output from a large eddy simulation of clouds. It is a single case from a library of large eddy simulations, the EAGLES Liquid Cloud Testbed Large Eddy Simulation Library (v3) . Please consult the library data set page for more complete...
This dataset consists of input files and model output from a large eddy simulation of clouds. It is based on conditions observed during the Cloud System Evolution in the Trades (CSET) field campaign on 27 July 2015, with doubling of the baseline aerosol concentration applied. It is a single case...
This dataset consists of input files and model output from a large eddy simulation of clouds. It is based on conditions observed during the Cloud System Evolution in the Trades (CSET) field campaign on 27 July 2015, using the baseline aerosol concentration. It is a single case from a library of...
sgp_30Aug2016b_2.0x