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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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High-Value Datasets (HVD)   High-Value Datasets
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2 datasets found

Minerals inventory – INSPIRE harmonized data for the Czech Republic (theme Mineral resources)

Dataset contains basic information about mineral deposits, resources, mining leases and mining waste in the Czech Republic, generated as the INSPIRE layers from the SurIS Register.

Harmonization of data according to the INSPIRE requirements within Project Minerals4EU, ProSUM and Mintell4EU.

HVD High value dataset.

Protected deposit areas of the Czech Republic

Open dataset contains Information about protection identified and undiscovered reserved mineral deposits and resources (according § 16-19 of the Act No. 44/1988, Mining Act) in the Czech Republic.
These areas must be respected in the Urban Planning Documentation.

CGS provides CHLU data on undermined areas to public authorities and spatial planning authorities in accordance with the valid Building Act. Furthermore, this data is used in the assessment of mine workings impacts and the processing of complex information about the territory.

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