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Publishers (2)

Publisher of the dataset

Themes (3)

Theme from the european Data Theme vocabulary

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 (4)

Data formats of distributions in the form of downloadable files

Keywords (34)

Keywords used to describe the dataset
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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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8 datasets found

Economic entities for Districts (RES)

Generalised polygons of Districts with territorial identifications and selected absolute and ratio indicators for economic entities with identified activity with identified activity in 2023-2024

GeoPackage Dataset is distributed using GeoPackage. GeoJSON Dataset is distributed using GeoJSON. Esri File Geodatabase Dataset is distributed using Esri File Geodatabase.

Economic entities for AD MEP (RES)

Generalised polygons of administrative districts of municipalities with extended powers (AD MEP) with territorial identifications and selected absolute and ratio indicators for economic entities with identified activity in 2023-2024

GeoPackage Dataset is distributed using GeoPackage. GeoJSON Dataset is distributed using GeoJSON. Esri File Geodatabase Dataset is distributed using Esri File Geodatabase.

Economic entities for basic territorial units (RES)

Generalised polygons of basic territorial units with territorial identifications and selected absolute and ratio indicators for economic entities with identified activity in 2023-2024

GeoPackage Dataset is distributed using GeoPackage. GeoJSON Dataset is distributed using GeoJSON. Esri File Geodatabase Dataset is distributed using Esri File Geodatabase.

Economic entities for cohesion regions (RES)

Generalised polygons of cohesion regions (NUTS 2) with territorial identifications and selected absolute and ratio indicators for economic entities with identified activity in 2023-2024

GeoPackage Dataset is distributed using GeoPackage. GeoJSON Dataset is distributed using GeoJSON. Esri File Geodatabase Dataset is distributed using Esri File Geodatabase.

Economic entities for kilometre grids (RES)

Coordinate grids of square cells with a side length of 1 km (kilometre grids) with unique identification and selected statistical data for economic entities with identified activity in 2023-2024

GeoPackage Dataset is distributed using GeoPackage. GeoJSON Dataset is distributed using GeoJSON. Esri File Geodatabase Dataset is distributed using Esri File Geodatabase.

Economic entities for municipalities (RES)

Generalised polygons of municipalities and military districts with territorial identifications and selected absolute and ratio indicators for economic entities with identified activity in 2023-2024

GeoPackage Dataset is distributed using GeoPackage. GeoJSON Dataset is distributed using GeoJSON. Esri File Geodatabase Dataset is distributed using Esri File Geodatabase.

Economic entities for Regions (RES)

Generalised polygons of Regions (NUTS 3) with territorial identifications and selected absolute and ratio indicators for economic entities with identified activity in 2023-2024

GeoPackage Dataset is distributed using GeoPackage. GeoJSON Dataset is distributed using GeoJSON. Esri File Geodatabase Dataset is distributed using Esri File Geodatabase.

Soil map 1 : 50,000 of the Czech Republic – INSPIRE harmonized (theme Soil)

The maps show the soil cover of the Czech Republic. They express the typological affiliation of the soil in the "Taxonomic classification system of soils of the Czech Republic" (Němeček et al., 2011), or the version for forest soils (Vokoun et al., 2002), i.e. soil type, subtype, soil variety, or subvariety. The data for the selected map sheets also contain data on the soil parent material in a classification based on the legend of the Geological Map of the Czech Republic 1:50,000, supplemented by classification codes (Schuler et al,. 2013).
This soil map on a scale of 1:50,000 is the most detailed soil map so far, which maps both agricultural and forest land together in the area of the entire territory of the Czech Republic (in process), in the same and up-to-date soil classification system. In the GIS environment, the maps are processed after the map sheets of the ZM50 division, so that they create a continuous thematic layer of the soil-typology map.

soil mapping since 2012,
fullfillment of requirements of the INSPIRE directive

HVD High value dataset. application/gml+xml Dataset is distributed using application/gml+xml.