Supplementary files for the description of Inocybe giovannii
Description
This dataset was created as electronic supplement reporting on the molecular phylogenetic study accompanying the species description of Inocybe giovannii Bandini, B. Oertel & U. Eberh. in Fungal Planet, description no. 1883, published in Crous et al. (2026: 52-54) by D. Bandini and U. Eberhardt.
Crous, P.W. et al., 2026. Fungal Planet description sheets: 1868-1920. Persoonia 56, 1-173. DOI:10.3114/persoonia.2026.56.01
Files
Fdat3.zip
Files
(5.4 MB)
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md5:58fcd733c127be8e6f4353fabd07c814
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Additional details
Identifiers
Related works
- Is source of
- Text: 10.3114/persoonia.2026.56.01 (DOI)
Data quality
- Accuracy
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This dataset has been created based on the Annotated Research Context (ARC). ARC is a framework for organising and documenting research data. It also serves as a container that supports collaboration, data exchange, and adherence to FAIR principles (Findable, Accessible, Interoperable, and Reusable) collaborating researchers and data re-users. 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) and RO crates. This project encompasses experimental data, annotation and metadata, computational processes, protocols, and other necessary information relevant to the entire research data life cycle.
- Completeness
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This dataset has been created based on the Annotated Research Context (ARC). ARC is a framework for organising and documenting research data. It also serves as a container that supports collaboration, data exchange, and adherence to FAIR principles (Findable, Accessible, Interoperable, and Reusable) collaborating researchers and data re-users. 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) and RO crates. This project encompasses experimental data, annotation and metadata, computational processes, protocols, and other necessary information relevant to the entire research data life cycle.
- Conformity
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This dataset has been created based on the Annotated Research Context (ARC). ARC is a framework for organising and documenting research data. It also serves as a container that supports collaboration, data exchange, and adherence to FAIR principles (Findable, Accessible, Interoperable, and Reusable) collaborating researchers and data re-users. 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) and RO crates. This project encompasses experimental data, annotation and metadata, computational processes, protocols, and other necessary information relevant to the entire research data life cycle.
- Consistency
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This dataset has been created based on the Annotated Research Context (ARC). ARC is a framework for organising and documenting research data. It also serves as a container that supports collaboration, data exchange, and adherence to FAIR principles (Findable, Accessible, Interoperable, and Reusable) collaborating researchers and data re-users. 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) and RO crates. This project encompasses experimental data, annotation and metadata, computational processes, protocols, and other necessary information relevant to the entire research data life cycle.
- Credibility
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This dataset has been created based on the Annotated Research Context (ARC). ARC is a framework for organising and documenting research data. It also serves as a container that supports collaboration, data exchange, and adherence to FAIR principles (Findable, Accessible, Interoperable, and Reusable) collaborating researchers and data re-users. 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) and RO crates. This project encompasses experimental data, annotation and metadata, computational processes, protocols, and other necessary information relevant to the entire research data life cycle.
- Processability
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This dataset has been created based on the Annotated Research Context (ARC). ARC is a framework for organising and documenting research data. It also serves as a container that supports collaboration, data exchange, and adherence to FAIR principles (Findable, Accessible, Interoperable, and Reusable) collaborating researchers and data re-users. 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) and RO crates. This project encompasses experimental data, annotation and metadata, computational processes, protocols, and other necessary information relevant to the entire research data life cycle.
- Relevance
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This dataset has been created based on the Annotated Research Context (ARC). ARC is a framework for organising and documenting research data. It also serves as a container that supports collaboration, data exchange, and adherence to FAIR principles (Findable, Accessible, Interoperable, and Reusable) collaborating researchers and data re-users. 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) and RO crates. This project encompasses experimental data, annotation and metadata, computational processes, protocols, and other necessary information relevant to the entire research data life cycle.
- Timeliness
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This dataset has been created based on the Annotated Research Context (ARC). ARC is a framework for organising and documenting research data. It also serves as a container that supports collaboration, data exchange, and adherence to FAIR principles (Findable, Accessible, Interoperable, and Reusable) collaborating researchers and data re-users. 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) and RO crates. This project encompasses experimental data, annotation and metadata, computational processes, protocols, and other necessary information relevant to the entire research data life cycle.
- Understandability
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This dataset has been created based on the Annotated Research Context (ARC). ARC is a framework for organising and documenting research data. It also serves as a container that supports collaboration, data exchange, and adherence to FAIR principles (Findable, Accessible, Interoperable, and Reusable) collaborating researchers and data re-users. 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) and RO crates. This project encompasses experimental data, annotation and metadata, computational processes, protocols, and other necessary information relevant to the entire research data life cycle.