Complete replicate terabase metagenome (TmG.2.0) of grassland soil microbiome collections from KPBS field site in Manhattan, KS. Metagenome (unclassified soil sequencing) Data DOI Package, version 2.0.
Filter results
Content type
Tags
- (-) Synthetic (5)
- (-) Molecular Profiling (4)
- (-) soil microbiology (4)
- Omics (22)
- Soil Microbiology (22)
- sequencing (13)
- Genomics (10)
- Metagenomics (10)
- Microbiome (8)
- Fungi (6)
- High Throughput Sequencing (6)
- Imaging (6)
- Machine Learning (6)
- Mass Spectrometry (6)
- Type 1 Diabetes (6)
- Autoimmunity (5)
- Mass Spectrometer (5)
- Biomarkers (4)
- metagenomics (4)
- Microscopy (4)
- Predictive Modeling (4)
- Sequencer System (4)
- Sequencing (4)
- Spectroscopy (4)
- Viruses (4)
- Climate Change (3)
- IAREC (3)
- metabolomics (3)
- Proteomics (3)
- Synthetic Biology (3)
Complete replicate terabase metagenome (TmG.2.0) of grassland soil microbiome collections from COBS field site in Boone County, IA. Metagenome (unclassified soil sequencing) Data DOI Package, version 2.0.
Category
Complete replicate terabase metagenome (TmG.2.0) of grassland soil microbiome collections from IAREC field site in Prosser, WA. Metagenome (unclassified soil sequencing) Data DOI Package, version 2.0.
Category
Viral communities detected from three large grassland soil metagenomes with historically different precipitation moisture regimes.
Category
The Human Islet Research Network (HIRN) is a large consortia with many research projects focused on understanding how beta cells are lost in type 1 diabetics (T1D) with a goal of finding how to protect against or replace the loss of functional beta cells. The consortia has multiple branches of...
Datasets
0
This data is a model of synthetic adversarial activity surrounded by noise and was funded by DARPA. The various versions include gradually more complex networks of activities.
Category
Datasets
1
This data is a model of synthetic adversarial activity surrounded by noise and was funded by DARPA. The various versions include gradually more complex networks of activities.
Category
Datasets
1
Category
Datasets
1
Category
Datasets
7
Machine learning is a core technology that is rapidly advancing within type 1 diabetes (T1D) research. Our Human Islet Research Network (HIRN) grant is studying early cellular response initiating β cell stress in T1D through the generation of heterogenous low- and high-throughput molecular...
Datasets
3
The Environmental Determinants of Diabetes in the Young (TEDDY) study is searching for factors influencing the development of type 1 diabetes (T1D) in children. Research has shown that there are certain genes that correlate to higher risk of developing T1D, but not all children with these genes...
Datasets
1
The Diabetes Autoimmunity Study in the Young (DAISY) seeks to find environmental factors that can trigger the development of type 1 diabetes (T1D) in children. DAISY follows children with high-risk of developing T1D based on family history or genetic markers. Genes, diets, infections, and...
Datasets
1
This data was generated by the organization IvySys. Activities can be phone calls, transactions, or any other type of communications. Most of the files are of the type .edges, .rdf, or .csv; but all can be opened in a text editor. A good introduction to this data can be found in \Tutorial1\MAA...