DataProvenance

Information about the source and context of time series data.

This class captures essential metadata about where time series data originated,
including the source repository, project context, physical location, equipment
used, and the measured parameter. This information is crucial for data
traceability and understanding measurement context in environmental monitoring.

Provenance information enables users to assess data quality, understand
measurement conditions, and make informed decisions about data usage in
analysis and modeling workflows.

Field Definitions

Field	Type	Required	Default	Description
source_repository	None	✗	None	Name or identifier of the data repository or database
project	None	✗	None	Project name or identifier under which data was collected
location	None	✗	None	Physical location where measurements were taken (e.g., 'Site_A', 'Influent_Tank_1')
equipment	None	✗	None	Equipment or instrument used for data collection (e.g., 'pH_probe_001', 'flow_meter')
parameter	None	✗	None	Physical/chemical parameter being measured (e.g., 'temperature', 'dissolved_oxygen', 'TSS')
purpose	None	✗	None	Purpose or context of the measurement (e.g., 'regulatory_compliance', 'process_optimization')
metadata_id	None	✗	None	Unique identifier for linking to external metadata systems

Detailed Field Descriptions

source_repository

Type: None Required: No Default: None

Name or identifier of the data repository or database

project

Type: None Required: No Default: None

Project name or identifier under which data was collected

location

Type: None Required: No Default: None

Physical location where measurements were taken (e.g., 'Site_A', 'Influent_Tank_1')

equipment

Type: None Required: No Default: None

Equipment or instrument used for data collection (e.g., 'pH_probe_001', 'flow_meter')

parameter

Type: None Required: No Default: None

Physical/chemical parameter being measured (e.g., 'temperature', 'dissolved_oxygen', 'TSS')

purpose

Type: None Required: No Default: None

Purpose or context of the measurement (e.g., 'regulatory_compliance', 'process_optimization')

metadata_id

Type: None Required: No Default: None

Unique identifier for linking to external metadata systems

Usage Example

from meteaudata.types import DataProvenance

# Create a DataProvenance instance
provenance = DataProvenance(
    source_repository="station_database",
    project="water_quality_monitoring",
    location="river_site_A",
    equipment="multiparameter_probe",
    parameter="dissolved_oxygen",
    purpose="compliance_monitoring"
)