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Atomscale organizes data using Projects, Physical Samples, and Data Items. These are associations rather than a strict containment hierarchy: a sample can belong to several projects, and a data item does not need a sample assignment.

Relationships

Physical samples can belong to multiple projects, and data items can exist without being assigned to a physical sample. Analysis notebooks can load and investigate accessible data across these associations. A notebook does not require every input to belong to one project or sample.

Core Entities

Projects

Group physical samples related to a specific initiative, allowing you to view and analyze all their data in one place.

Physical Samples

Represent growth runs and group instrument and characterization data from the same run for comparison and analysis.

Data Items

Individual metrology, instrument, and characterization files uploaded to Atomscale.

Metadata

You can associate metadata with physical samples and data items to add context and enable filtering: Each of these metadata types can be managed from the Metadata section in the sidebar. Notes can also be attached to projects, physical samples, and data items for free-form context.