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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
Dynamic data   Dynamic data - data that is frequently updated, e.g. real-time data.
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2 datasets found

Digital geographical model of territory of the Czech Republic (Data250)

Digital geographical model of territory of the Czech Republic (Data250). Minimal positional accuracy is 125 m and the level of detail corresponds to the scale 1:250,000. The content of Data250 consists of 50 feature types. The database is organised into eight thematic groups – administrative boundaries, hydrography, transportation, settlements, geographic names, miscellaneous objects, vegetation, surface and altimetry. Data is provided as open data in SHP data format.

INSPIRE theme Land use (LU)

The INSPIRE - Land use data from application schema Existing land use are harmonised according to INSPIRE Implementing Rules and corresponds with INSPIRE xml schema in version 4.0. The dataset is processed according to the application schema Existing Land Use. This dataset of the land use of the Czech Republic therefore has the unified design with other data created for this INSPIRE theme in frame of whole Europe. The features are represented by a vector component with attributes containing wider information about names. The base dataset is the Fundamental Base of Geographic Data of the Czech Republic (ZABAGED®).Therefore the land use dataset is based on observed reality derived from geographical data. The Hierarchical INSPIRE Land Use Classification System (HILUCS), required by Commission Regulation (EU) No 1089/2010, is used for classification of land use features.

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