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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.

Data service (1)

Datasets distributed via a data service

Formats (5)

Data formats of distributions in the form of downloadable files
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6 datasets found

Habitat of selected specially protected species of large mammals

Habitat of selected species (wolf, lynx, bear, moose) delimited in extent necessary to maintain their existence in the Czech Republic. Delimitation is based on recent occurrence data regarding the species, spatial habitat analysis and checking landscape fragmentation in the field.

CSV Dataset is distributed using CSV. KML Dataset is distributed using KML. Esri Shape Dataset is distributed using Esri Shape. GeoJSON Dataset is distributed using GeoJSON.

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.

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.

ÚSES - koncepční vymezení nadregionálních biocenter

Hranice aktualizovaných nadregionálních biocenter vymezených nad katastrálními příp. lesnickými obrysovými mapami; vrstva obsahuje jednoduché prvky (Singlepart Features); © AOPK ČR, 2023

CSV Dataset is distributed using CSV. KML Dataset is distributed using KML. Esri Shape Dataset is distributed using Esri Shape. 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.