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HVD category (1)

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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Datasets distributed via a data service

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High-Value Datasets (HVD)   High-Value Datasets
Dynamic data   Dynamic data - data that is frequently updated, e.g. real-time data.
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2 datasets found

Abandoned mine lands of the Czech Republic

Open dataset contains key information on areas in the Czech Republic, where underground mining or mineral exploration were undertaken in the past. The mine workings are irregularly distributed within the vector representation and at different depths. Polygons can also contain completely unmined sections. The possible damage to the terrain by mining activities is usually smaller than the extent of the vector representation.

The purpose is to inventory areas with detected undermining according to the Geological Act (No. 62/1988 Coll., on geological works, as amended). These areas can have an impact on the development of urban planning documentation and on the environment. CGS provides 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.

Radon index map of the Czech Republic 1 : 50,000 – INSPIRE harmonized (theme Natural risk zones)

Radon index map of the Czech Republic 1 : 50,000 has been compiled using statistical procedures to process the measurements so that the areas defined by the vectorized boundaries of the geological units can be classified to indicate the prevailing radon index for bedrock and quaternary sediments (low, medium, high index). The source data has been adjusted to meet the INSPIRE requirements for download service.

fullfillment of requirements of the INSPIRE directive

HVD High value dataset. KML Dataset is distributed using KML. GML Dataset is distributed using GML. Atom Feed Dataset is distributed using Atom Feed.