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Creates an empty tibble with the standardised column structure for measurements data.

Usage

initialise_measurements_tibble()

Value

A tibble with 0 rows and standardised measurement columns

Details

Measurements represent quantitative observations combining sample, compartment, and biota information with analytical results and quality metrics. The tibble includes the following columns:

SITE_CODE: Code identifying the sampling location

PARAMETER_NAME: Name of the measured parameter (Foreign key)

SAMPLING_DATE: Date of sample collection

ENVIRON_COMPARTMENT_SUB: Specific environmental sub-compartment

SUBSAMPLE: Subsample identifier

MEASURED_FLAG: Quality flag for the measurement (e.g., < LOQ, < LOD)

MEASURED_VALUE: Numeric value of the measurement

UNCERTAINTY_TYPE: Type of uncertainty or variability metric

UNCERTAINTY_UPPER: Upper bound of uncertainty

UNCERTAINTY_LOWER: Lower bound of uncertainty

MEASURED_UNIT: Unit of measurement

MEASURED_N: Number of replicates or observations

LOQ_VALUE: Limit of quantification value

LOQ_UNIT: Unit for limit of quantification

LOD_VALUE: Limit of detection value

LOD_UNIT: Unit for limit of detection

SAMPLING_PROTOCOL: Protocol used for sample collection (Foreign key)

EXTRACTION_PROTOCOL: Protocol used for sample extraction (Foreign key)

FRACTIONATION_PROTOCOL: Protocol used for sample fractionation (Foreign key)

ANALYTICAL_PROTOCOL: Protocol used for analysis (Foreign key)

REFERENCE_ID: Reference identifier for data source (Foreign key)

SAMPLE_ID: Unique sample identifier

CAMPAIGN_NAME_SHORT: Short name of the associated campaign

ENVIRON_COMPARTMENT: Broad environmental compartment

PARAMETER_TYPE: Classification of the parameter

MEASURED_TYPE: Type of measurement

MEASUREMENT_COMMENT: Additional notes about the measurement

See vignette("measurements_data") for more information.