The VAST 2010 Challenge consisted of three mini-challenges (MC) and one Grand Challenge (GC). Each MC had a data set, instructions and a number of questions to be answered. The GC required participants to pull together information from all three data sets and write a debrief summarizing the...
Filter results
Category
- (-) Biology (198)
- (-) Computing & Analytics (14)
- Scientific Discovery (307)
- Earth System Science (136)
- Human Health (102)
- Integrative Omics (73)
- Microbiome Science (42)
- Computational Research (23)
- National Security (21)
- Chemistry (10)
- Energy Resiliency (9)
- Data Analytics & Machine Learning (8)
- Materials Science (7)
- Visual Analytics (6)
- Chemical & Biological Signatures Science (5)
- Computational Mathematics & Statistics (5)
- Weapons of Mass Effect (5)
- Atmospheric Science (4)
- Coastal Science (4)
- Ecosystem Science (4)
- Renewable Energy (4)
- Data Analytics & Machine Learning (3)
- 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 (79)
- 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 (30)
- Viruses (26)
- Omics (24)
- Health (23)
- Virus (23)
- Soil Microbiology (21)
- MERS-CoV (18)
- Mus musculus (18)
- Mass Spectrometry (13)
- sequencing (13)
- West Nile virus (13)
- Genomics (12)
- Ebola (11)
- Influenza A (11)
- PerCon SFA (10)
- High Throughput Sequencing (9)
- Metagenomics (9)
- Resource Metadata (9)
- Microbiome (8)
- Proteomics (8)
- Machine Learning (7)
- Microarray (7)
- Synthetic Biology (7)
This year’s VAST Challenge focuses on visual analytics applications for both large scale situation analysis and cyber security. We have two mini-challenges to test your analytical skills and confound your visual analytics applications. In the first mini-challenge, (the imaginary) BankWorld's largest...
Category
This data set provides ITS fungal community composition via DNA sequence analysis at the time of peat coring at the South End bog in 2013. These samples were collected outside the experimental enclosures and are pre-treatment with no experimental manipulation. These are part of the Spruce and...
Category
This data set provides the 16S microbial community composition via DNA sequence analysis from ingrowth peat and sand cores at the South End bog in 2013. These samples were collected outside the experimental enclosures and are pre-treatment with no experimental manipulation. These are part of the...
Category
This data set provides the ITS fungal community composition via DNA sequence analysis from sand and peat ingrowth cores at the South End bog in 2013. These samples were collected outside the experimental enclosures and are pre-treatment with no experimental manipulation. These are part of the Spruce...
Category
This data set provides the peat microbial biomass carbon (MBC) and nitrogen (MBN), extractable organic carbon (EOC) and extractable nitrogen (EN) at the time of peat coring for Deep Peat Heating (DPH) and Whole Ecosystem Warming (WEW) for 2014-2017 from the Spruce and Peatland Responses Under...
Category
This data set provides the ingrowth peat microbial biomass carbon (MBC) and nitrogen (MBN), extractable organic carbon (EOC) and extractable nitrogen (EN) for Deep Peat Heating (DPH) and Whole Ecosystem Warming (WEW) for 2015-2016 from the Spruce and Peatland Responses Under Changing Environments...
Category
This data set provides the ingrowth peat extracellular enzyme potential (EE) for before and during Deep Peat Heating (DPH) and Whole Ecosystem Warming (WEW) for 2015-2016 from the Spruce and Peatlands Under Changing Environments (SPRUCE). EE potential was quantified and calculated following a...
Category
Please cite as : Anderson L.N., R. Wu, W.C. Nelson, J.E. McDermott, K.S. Hofmockel, and J.K. Jansson. 2021. Iso-VIG14.1.0 (Metagenome Derived Viral Genomes, WA/IA/KS). [Data Set] PNNL DataHub. https://doi.org/10.25584/IsoVIG14/1770369 Soil samples were collected in triplicate in the Fall of 2017...
Category
This data set provides the 16S microbial community composition via DNA sequence analysis at the time of peat coring at the South End bog in 2013. These samples were collected outside the experimental enclosures and are pre-treatment with no experimental manipulation. These are part of the Spruce and...
Category
Last updated on 2024-02-11T22:41:43+00:00 by LN Anderson Influenza A Virus Experiment ICL105 Metadata The purpose of this experiment was to evaluate the host epigenetic response to Influenza A virus (subtype H5N1) infection. Sample data was obtained from human lung adenocarcinoma cells (Calu-3) and...
Category
This data set provides the 16S microbial community composition of peat and sand ingrowth cores via DNA and cDNA sequence analysis before and during Deep Peat Heating (DPH) and Whole Ecosystem Warming (WEW) for 2015-2016 from the Spruce and Peatlands Under Changing Environments (SPRUCE). Samples were...
Category
This data set provides ITS fungal community composition via DNA and cDNA sequence analysis at the time of peat coring for Deep Peat Heating (DPH) and Whole Ecosystem Warming (WEW) for 2014-2017 from the Spruce and Peatlands Under Changing Environments (SPRUCE). Samples were extracted using a Qiagen...
Category
This data set provides the ITS fungal community composition via DNA and cDNA sequence analysis for peat and sand ingrowth cores collected before and during Deep Peat Heating (DPH) and Whole Ecosystem Warming (WEW) for 2015-2016 from the Spruce and Peatlands Under Changing Environments (SPRUCE)...
Category
Please cite as : McClure R.S., Y. Farris, R.E. Danczak, W.C. Nelson, H. Song, A. Kessler, and J. Lee, et al. 2022. Model Soil Consortium 2 (MSC-2) Bacterial Isolate Genomes. [Data Set] PNNL DataHub. https://doi.org/10.25584/PNNLDH/1986536 Model Soil Consortium 2 (MSC-2) Bacterial Isolate Genomes...