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High-Value dataset category from a European vocabulary. A High Value Dataset is public sector information whose re-use has significant benefits for society, the environment and the economy, in particular because of its suitability for services, job creation and other value-added applications.

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2 datasets found

Air Quality Index – Current Hourly Data

The Air Quality Index (IKO) provides a summary of air quality at a specific monitoring station. This index was developed by the Air Quality Division of the Czech Hydrometeorological Institute (ČHMÚ) in collaboration with the National Institute of Public Health (SZÚ). Specific advice and recommendations from SZÚ aimed at protecting human health can be found here: www.chmi.cz/files/portal/docs/uoco/web_generator/d_szu.pdf. The rules for determining the IKO and its calculation are available at https://www.chmi.cz/files/portal/docs/uoco/web_generator/iko3h_cz.pdf.

Information for the public provided through a simple and comprehensible indicator that comprehensively reflects air quality, considering health-based recommendations from the World Health Organization.

HVD High value dataset. CSV Dataset is distributed using CSV.

Air Quality Index – Preliminary Data

The Air Quality Index (IKO) provides a summary of air quality at a specific monitoring station. This index was developed by the Air Quality Division of the Czech Hydrometeorological Institute (ČHMÚ) in collaboration with the National Institute of Public Health (SZÚ). Specific advice and recommendations from SZÚ aimed at protecting human health can be found here: www.chmi.cz/files/portal/docs/uoco/web_generator/d_szu.pdf. The rules for determining the IKO and its calculation are available at https://www.chmi.cz/files/portal/docs/uoco/web_generator/iko3h_cz.pdf.

Information for the public provided through a simple and comprehensible indicator that comprehensively reflects air quality, considering health-based recommendations from the World Health Organization.

HVD High value dataset. CSV Dataset is distributed using CSV.