Non-targeted metabolomics of microbial SynCom
-
1.
University of Tübingen
Description
The present study aimed to identify microbial metabolites with the potential to shape a synthetic community (SynCom) of the epiphytic Arabidopsis thaliana leaf microbiome. The hypothesis was that metabolites with upregulated or activated production in co-cultures are potential key metabolites in the community. Therefore, metabolic profiles of single SynCom members were compared to the whole SynCom co-cultures in a UHPLC-MS/MS non-targeted metabolomics approach.
Files
Additional details
- Accuracy
This dataset has been created based on the Annotated Research Context (ARC). ARC is a framework for organizing and documenting research data. It also serves as a container that continuously supports collaboration, data exchange, and adherence to FAIR principles (Findable, Accessible, Interoperable, and Reusable) among various researchers. The ARC framework can be assessed for completeness and quality at any time and is built on widely accepted research data standards, such as ISA (Investigation, Study, Assay). This project encompasses experimental data, annotation and metadata, computational processes, protocols, and other necessary information related to the entire research project life cycle.
- Completeness
This dataset has been created based on the Annotated Research Context (ARC). ARC is a framework for organizing and documenting research data. It also serves as a container that continuously supports collaboration, data exchange, and adherence to FAIR principles (Findable, Accessible, Interoperable, and Reusable) among various researchers. The ARC framework can be assessed for completeness and quality at any time and is built on widely accepted research data standards, such as ISA (Investigation, Study, Assay). This project encompasses experimental data, annotation and metadata, computational processes, protocols, and other necessary information related to the entire research project life cycle.
- Conformity
This dataset has been created based on the Annotated Research Context (ARC). ARC is a framework for organizing and documenting research data. It also serves as a container that continuously supports collaboration, data exchange, and adherence to FAIR principles (Findable, Accessible, Interoperable, and Reusable) among various researchers. The ARC framework can be assessed for completeness and quality at any time and is built on widely accepted research data standards, such as ISA (Investigation, Study, Assay). This project encompasses experimental data, annotation and metadata, computational processes, protocols, and other necessary information related to the entire research project life cycle.
- Consistency
This dataset has been created based on the Annotated Research Context (ARC). ARC is a framework for organizing and documenting research data. It also serves as a container that continuously supports collaboration, data exchange, and adherence to FAIR principles (Findable, Accessible, Interoperable, and Reusable) among various researchers. The ARC framework can be assessed for completeness and quality at any time and is built on widely accepted research data standards, such as ISA (Investigation, Study, Assay). This project encompasses experimental data, annotation and metadata, computational processes, protocols, and other necessary information related to the entire research project life cycle.
- Credibility
This dataset has been created based on the Annotated Research Context (ARC). ARC is a framework for organizing and documenting research data. It also serves as a container that continuously supports collaboration, data exchange, and adherence to FAIR principles (Findable, Accessible, Interoperable, and Reusable) among various researchers. The ARC framework can be assessed for completeness and quality at any time and is built on widely accepted research data standards, such as ISA (Investigation, Study, Assay). This project encompasses experimental data, annotation and metadata, computational processes, protocols, and other necessary information related to the entire research project life cycle.
- Processability
This dataset has been created based on the Annotated Research Context (ARC). ARC is a framework for organizing and documenting research data. It also serves as a container that continuously supports collaboration, data exchange, and adherence to FAIR principles (Findable, Accessible, Interoperable, and Reusable) among various researchers. The ARC framework can be assessed for completeness and quality at any time and is built on widely accepted research data standards, such as ISA (Investigation, Study, Assay). This project encompasses experimental data, annotation and metadata, computational processes, protocols, and other necessary information related to the entire research project life cycle.
- Relevance
This dataset has been created based on the Annotated Research Context (ARC). ARC is a framework for organizing and documenting research data. It also serves as a container that continuously supports collaboration, data exchange, and adherence to FAIR principles (Findable, Accessible, Interoperable, and Reusable) among various researchers. The ARC framework can be assessed for completeness and quality at any time and is built on widely accepted research data standards, such as ISA (Investigation, Study, Assay). This project encompasses experimental data, annotation and metadata, computational processes, protocols, and other necessary information related to the entire research project life cycle.
- Timeliness
This dataset has been created based on the Annotated Research Context (ARC). ARC is a framework for organizing and documenting research data. It also serves as a container that continuously supports collaboration, data exchange, and adherence to FAIR principles (Findable, Accessible, Interoperable, and Reusable) among various researchers. The ARC framework can be assessed for completeness and quality at any time and is built on widely accepted research data standards, such as ISA (Investigation, Study, Assay). This project encompasses experimental data, annotation and metadata, computational processes, protocols, and other necessary information related to the entire research project life cycle.
- Understandability
This dataset has been created based on the Annotated Research Context (ARC). ARC is a framework for organizing and documenting research data. It also serves as a container that continuously supports collaboration, data exchange, and adherence to FAIR principles (Findable, Accessible, Interoperable, and Reusable) among various researchers. The ARC framework can be assessed for completeness and quality at any time and is built on widely accepted research data standards, such as ISA (Investigation, Study, Assay). This project encompasses experimental data, annotation and metadata, computational processes, protocols, and other necessary information related to the entire research project life cycle.