The Noise Pollution data model and the AirQualityForecast have been published on the Environment subject. The first one merges specific and punctual noise measurements (coming, e.g. from NoiseLevelObservation entities) into average parameters referred to city areas, providing more city-related data about noise pollution status and evolution. The second one helps to store the forecast about the quality of air for a specific period.
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python package pysmartdatamodels
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data-models** Update pysmartdatamodels.py
dataModel.Environment** AirQualityObserved SQL schema - as is a keyword
dataModel.PointOfInterest** feat(PointOfInterest): Add openingHours and openingHoursSpecification properties
** Add field to store POI opening hours information (e.g. openingHours)
dataModel.PointOfInterest** feat(PointOfInterest): Add openingHours and openingHoursSpecification properties
dataModel.Transportation** ItemFlowObserved - laneId type mismatch
dataModel.Device** Modbus model - missing SQL schema
** Camera model - SQL schema issue with on column
incubated** added examples and needed files for all resource types of HL7/FHIR-R4
dataModel.DCAT-AP** feat: add properties to DataService data model
** Extend schemas for Dataset and DataService from 2.1.1 to 3.0.0
dataModel.ERA-
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