Datasets
1
Filter results
Category
- (-) National Security (4)
- (-) Ecosystem Science (1)
- Scientific Discovery (27)
- Biology (25)
- Earth System Science (22)
- Microbiome Science (10)
- Integrative Omics (9)
- Human Health (6)
- Computational Research (2)
- Cybersecurity (2)
- Distribution (2)
- Electric Grid Modernization (2)
- Energy Resiliency (2)
- Grid Cybersecurity (2)
- Chemical & Biological Signatures Science (1)
- Chemistry (1)
- Computing & Analytics (1)
- Data Analytics & Machine Learning (1)
- Grid Analytics (1)
- High-Performance Computing (1)
- Materials Science (1)
- Plant Science (1)
- Weapons of Mass Effect (1)
Content type
Tags
- (-) Cybersecurity (2)
- (-) Electrical energy (2)
- (-) Omics (2)
- (-) High-Performance Computing (1)
- Synthetic (5)
- Proteomics (2)
- Chitin (1)
- Data inventory (1)
- Droughts (1)
- EBC (1)
- Exhaled Breath Condensate (1)
- Extreme weather (1)
- Fires (1)
- Heatwaves (1)
- Machine Learning (1)
- Mass Spectrometer (1)
- Mass Spectrometry (1)
- Metatranscriptomic (1)
- ML/AI (1)
- Predictive Modeling (1)
- Quantification (1)
- Soil (1)
- TMT (1)
- ToF-SIMS (1)
The IONTOF TOF.SIMS 5 data source is a time-of-flight secondary ion mass spectrometer and powerful surface analysis tool used to investigate scientific questions in biological, environmental, and energy research. Among the most sensitive of surface analysis tools, it uses a high-vacuum technique...
ProxyTSPRD profiles are collected using NVIDIA Nsight Systems version 2020.3.2.6-87e152c and capture computational patterns from training deep learning-based time-series proxy-applications on four different levels: models (Long short-term Memory and Convolutional Neural Network), DL frameworks...
This dataset includes one baseline and three cybersecurity based scenarios utilizing the IEEE 9 Bus Model. This instantiation of the IEEE 9 model was built utilizing the OpalRT Simulator ePhasorsim module, with Bus 7 represented by hardware in the loop (HiL). The HiL was represented by two SEL351s...
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...