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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

Inventory of mine workings in the Czech Republic

Open dataset contains data on underground mine workings and on reported impacts of mine workings over the territory of the Czech Republic. Attributes include detailed information about each object, e.g. the exact location, topographical situation, proprietary relation, technical data, the current state of these workings, their hazardousness and possible security measures. There are also links to the signatures of source reports stored in the CGS Geofond archive and to the digital documentation in *.jpg format - e.g. photograph, map cut-out, drawing.

Data from the database are continuously used in monitoring the safety of mine workings according to the Mining Act, in land-use planning, and as a part of the urban planning documentation according to the Building Act.

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

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.