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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data-models** Update pysmartdatamodels.py
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24-10-24. updated the process of certificate generation
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data-models** Update pysmartdatamodels.py
incubated** Added schema and adopters for MachineTool OPCUA and TimeSeries AAS
** INCODE data models update - second round of validation
dataModel.DCAT-AP** Extend schemas for Dataset and DataService from 2.1.1 to 3.0.0
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