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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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3 datasets found

Mining waste of the Czech Republic

Open dataset contains localisation and the state-of-the-art of data on individual registered mining waste facilities in the Czech Republic.

According to Act no. 157/2009 Coll. § 17 Sec. 4, point. a) and b) CGS was commissioned by the Ministry of the Environment to identify closed and abandoned mining waste depositories that are significant risk to environment and human health. CGS maintains a register of these depositories.

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

Protected territories for special intervention into the Earth’s crust of the Czech Republic

Open dataset contains Information about the Protected territories for special intervention into the Earth’s crust in the territory of the Czech Republic. It includes (according to §34 of Act No. 44/1988 Coll., Mining Act) underground storages, underground depository of radioactive and other waste and industrial use of the Geothermal energy. These areas must be respected in the Urban Planning Documentation.

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.

ZABAGED® - Planimetric Components

Fundamental Base of Geographic Data of the Czech Republic (ZABAGED®) is a vector geographic digital model of the territory of the Czech Republic (ČR).At present time the planimetric component of ZABAGED® consists of 136 feature types as settlements, communications, utility networks and pipelines, hydrography, administrative units and protected areas, vegetation and land cover, terrain relief and selected data about survey control points. The features are represented by 2D vector spatial component and a descriptive component containing qualitative and quantitative information about features.