Czech Data Portal
Čeština
News National Open Data Catalog More

Publishers (1)

Publisher of the dataset

Themes (2)

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 (3)

Data formats of distributions in the form of downloadable files

Keywords (20)

Keywords used to describe the dataset
Search

Extended search

Temporal coverage from to
This year Last year
High-Value Datasets (HVD)   High-Value Datasets
Dynamic data   Dynamic data - data that is frequently updated, e.g. real-time data.
Clear filters Search
2 datasets found

Landslides in the Czech Republic – INSPIRE harmonized (theme Natural risk zones)

Landslides dataset generated as the INSPIRE layer from the Slope Deformations Register, which contains basic data of registered and verified slope deformations in the Czech Republic (landslides, solifluction, rock falls, etc.).

fullfillment of requirements of the INSPIRE directive

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

Radon index map of the Czech Republic 1 : 50,000 – INSPIRE harmonized (theme Natural risk zones)

Radon index map of the Czech Republic 1 : 50,000 has been compiled using statistical procedures to process the measurements so that the areas defined by the vectorized boundaries of the geological units can be classified to indicate the prevailing radon index for bedrock and quaternary sediments (low, medium, high index). The source data has been adjusted to meet the INSPIRE requirements for download service.

fullfillment of requirements of the INSPIRE directive

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