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Publisher of the dataset

HVD category (53)

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

Keywords (1788)

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31665 datasets found

Groundwater withdrawals 2014-2023

Records of surface and groundwater withdrawals, wastewater and mine water releases, and surface water accumulation or discharge in reservoirs are established, maintained and updated by individual river basin authorities as part of the survey and assessment of the status of surface and groundwater (§ 21(2)(c)(4) of Act No. 254/2001 Coll., on Water, as amended, further referred to as the "Water Act").

Esri Shape Dataset is distributed using Esri Shape.

Groundwater withdrawals 2020

Records of surface and groundwater withdrawals, wastewater and mine water releases, and surface water accumulation or discharge in reservoirs are established, maintained and updated by individual river basin authorities as part of the survey and assessment of the status of surface and groundwater (§ 21(2)(c)(4) of Act No. 254/2001 Coll., on Water, as amended, further referred to as the "Water Act").

Esri Shape Dataset is distributed using Esri Shape.

Groundwater withdrawals 2021

Records of surface and groundwater withdrawals, wastewater and mine water releases, and surface water accumulation or discharge in reservoirs are established, maintained and updated by individual river basin authorities as part of the survey and assessment of the status of surface and groundwater (§ 21(2)(c)(4) of Act No. 254/2001 Coll., on Water, as amended, further referred to as the "Water Act").

Esri Shape Dataset is distributed using Esri Shape.

Groundwater withdrawals 2022

Records of surface and groundwater withdrawals, wastewater and mine water releases, and surface water accumulation or discharge in reservoirs are established, maintained and updated by individual river basin authorities as part of the survey and assessment of the status of surface and groundwater (§ 21(2)(c)(4) of Act No. 254/2001 Coll., on Water, as amended, further referred to as the "Water Act").

Esri Shape Dataset is distributed using Esri Shape.

Groundwater withdrawals 2023

Records of surface and groundwater withdrawals, wastewater and mine water releases, and surface water accumulation or discharge in reservoirs are established, maintained and updated by individual river basin authorities as part of the survey and assessment of the status of surface and groundwater (§ 21(2)(c)(4) of Act No. 254/2001 Coll., on Water, as amended, further referred to as the "Water Act").

Esri Shape Dataset is distributed using Esri Shape.

GTFS static DUK

GTFS static Transport companies of the Ústí region. The data provider is the Ústí region and CIS. We provide all carriers of the Ústí region.


GTFS static UK

GTFS static of selected carriers of the Ústí Region for publishing data to Google Maps. The data provider is the Ústí Region and CIS. It collects selected carriers of the Ústí Region.


Guiding chart of accounts (items of financial statements)

Code list of items of financial statements includes the code, name and corresponding synthetic account, in the case of financial statements.

CSV Dataset is distributed using CSV. XML Dataset is distributed using XML.

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. GeoJSON Dataset is distributed using GeoJSON. Esri Shape Dataset is distributed using Esri Shape. JPEG 2000 Dataset is distributed using JPEG 2000. KML Dataset is distributed using KML.

Hackathon 2022 mentoři a porotci

HTML Dataset is distributed using HTML.

Hackathon 2022 partneři

HTML Dataset is distributed using HTML.

Hackathon 2023 mentoři a porotci

HTML Dataset is distributed using HTML.

Hackathon 2023 partneři

HTML Dataset is distributed using HTML.

Hackathon 2024 mentoři a porotci

HTML Dataset is distributed using HTML.

Hackathon 2024 partneři

HTML Dataset is distributed using HTML.

Hackathon 2025 mentoři a porotci

HTML Dataset is distributed using HTML.

Hackathon 2025 partneři

HTML Dataset is distributed using HTML.

Harmful organisms / (SRS_TSO01A)

A public service available from the Farmer's Portal which provides an overview of pest monitoring by the State Phytosanitary Administration. Based on the input data, the service provides a detailed overview of the findings over a period of 30 days.


Harmonizovaný index spotřebitelských cen (HICP) - od 2000

Datová sada obsahuje časovou řadu harmonizovaného indexu spotřebitelských cen (HICP).

HVD High value dataset. CSV Dataset is distributed using CSV. JSON Dataset is distributed using JSON.

Harmonogramy přistavování velkokapacitních kontejnerů na území MČ Praha 12

Harmonogramy přistavování velkokapacitních kontejnerů na území MČ Praha 12

CSV Dataset is distributed using CSV.

Havárie SEVESO

Indikátor vyhodnocuje havárie vykazované dle směrnice SEVESO (zákon o prevenci závažných havárií). Vytvořeno z podkladových dat organizace Ministerstvo životního prostředí.

CSV Dataset is distributed using CSV.

Height of buildings

English description below. Jedná se o vrstvu RUIAN obohacenou o výšky jednotlivých budov. Změřená výška (atribut vyska_zmerena) zaznačených objektů byla vypočtena na základě rozdílu výšek digitálních modelů DMP1G a DMR5G. Odhadnutá výška (atribut vyska_odhad_pocty_bytu) byla vypočtena na základě počtu bytů jednoho adresního místa. Obdobně byla vypočtena i odhadnutá výška na základě počtu pater(atribut vyska_odhad_pocty_pater). Způsob využití objektu vycházi z číselníku ČÚZK - Způsoby využití stavebního objektu. Kompletní výška (atribut vyska_kompletni) obsahuje výškový údaj stavebního objektu, u zaznačených objektů změřený u nezaznačených odhadnutý. Pokud bylo možné u některého objektu odhadnout výšku podle více parametrů (např. u objektu byl uveden počet bytů, počet pater i způsob využití), nejvyšší prioritu měla odhadnutá výška podle počtu bytů, potom podle počtu pater a nakonec podle způsobu využití. Data jsou v souřadnicovém systému GCS WGS84 a vznikla v rámci Digitální akademie Czechitas v létě 2020. Aktualizace dat je plánována v nepravidelném intervalu několika let. Všechny výškové údaje jsou v metrech. Pro podrobnější informace navštivte blog.Polygon layer of all buildings in Brno with their height parameters. It is a RUIAN layer enriched with the heights of individual buildings. The measured height (vyska_zmerena attribute) of the objects was calculated as the height difference of the digital models DMP1G and DMR5G. The estimated height by flats (attribute vyska_odhad_pocty_bytu) was calculated based on the number of flats of one address location. Similarly, the estimated height by floors was calculated based on the number of floors (attribute vyska_odhad_pocty_pater). Type of the building is based on the ČÚZK code list. The complete height (attribute vyska_kompletni) contains the height data of the building object, for marked objects measured, for unmarked objects estimated. If it was possible to estimate the height of a building according to several parameters (eg. the number of flats, the number of floors and the method of use was given for the object), the highest priority was the estimated height according to the number of apartments, then according to the number of floors and type of the building. The data is in the GCS WGS84 coordinate system and was create as a part of the Czechitas Digital Academy in the summer of 2020. Data updates are planned at irregular intervals of several years. All heights are in meters. For more detailed information, please visit the blog.

Excel XLS Dataset is distributed using Excel XLS. CSV Dataset is distributed using CSV. GeoJSON Dataset is distributed using GeoJSON. Plain text Dataset is distributed using Plain text. ZIP Dataset is distributed using ZIP. Octet Stream Dataset is distributed using Octet Stream. JSON Dataset is distributed using JSON. KML Dataset is distributed using KML.

Hierarchy of addresses RÚIAN data distributed by the country in the CSV format

Dataset contains information on relationship between selected territorial elements and units of territorial registration. Data is specified in seven CSV files for the whole Czech Republic. File adresni-mista-vazby-cr.csv contains links of address points to the following elements – street, municipality part, town district (MOMC), Prague city district (MOP), town district of Prague (SPRAVOBV), municipality, municipality with an authorized municipal office (POU), municipality with extended competence (ORP), higher territorial self-governing entity (VÚSC) and election district (VO). File vazby-cr.csv contains links between elements municipality part, municipality, POU, ORP, VUSC, cohesion region (REGSOUDR) up to the element of state. File vazby-hlm-praha.csv contains modularity of elements in the city of Prague: MOMC, SPRAVOBV, municipality, POU, ORP, VUSC, REGSOUDR and state. File vazby-katastr-uzemi-cr.csv contains modularity of basic urban units (ZSJ) into cadastral units (KATUZ) and municipalities. File vazby-momc-statutarni-mesta.csv contains modularity of territorial elements in territorialy structured statutory cities: MOMC, MOP, obec, POU, ORP, VUSC, REGSOUDR and state. File vazby-okresy-cr.csv contains links between elements of municipality part, municipality, county, region (old – defined in 1960) and state. File vazby-ulice-obce-s-ulicni-siti.csv contains links of streets to the municipality. Dataset is provided as Open Data (licence CC-BY 4.0). Data is based on RÚIAN (Register of Territorial Identification, Addresses and Real Estates). Files are created during the first day of each month with data valid to the last day of previous month. The whole dataset is compressed (ZIP) for downloading. More in the Act No. 111/2009 Coll., on the Basic Registers, in Decree No. 359/2011 Coll., on the Basic Register of Territorial Identification, Addresses and Real Estates.


High Resolution Layers - Forest

High Resolution Layers (HRL) are raster data with 10m (20m for change layer) spatial resolution, which are part of the Copernicus Land Monitoring Service. The Forest product contains 3 data sets: Tree Cover Density (TCD), Dominant Leaf Type (DLT) and Dominant Leaf Type Change (DLTC). Data is created by semi-automatic procedures over satellite imagery every 3 years. You can find technical specifications here: https://land.copernicus.eu/user-corner/technical-library/hrl-imperviousness-technical-document-prod-2015, information on the program at http://land.copernicus.eu.

High Resolution Layers are created as part of the Copernicus Land Monitoring Service every 3 years. This is a cut layers of the Czech Republic in the coordinate system S-JTSK (EPSG:5514) for better access services Czech users. Data generation was funded by the European Union. Data was produced with funding by the European Union. Copyright Copernicus Programme

TIFF Dataset is distributed using TIFF. Atom Feed Dataset is distributed using Atom Feed. Esri File Geodatabase Dataset is distributed using Esri File Geodatabase.

High Resolution Layers - Grassland

High Resolution Layers (HRL) are raster data with 10m (20m for change layer) and 100 m spatial resolution, which are part of the Copernicus Land Monitoring Service. The product contains 2 data sets: Grassland that contains classified Grassland layer (GRA) and Grassland Change (GRAC). Data is created by semi-automatic procedures over satellite imagery every 3 years. You can find technical specifications here: https://land.copernicus.eu/user-corner/technical-library/hrl-grassland-technical-document-prod-2015/view, information on the program at http://land.copernicus.eu.

High Resolution Layers are created as part of the Copernicus Land Monitoring Service every 3 years. This is a cut layers of the Czech Republic in the coordinate system S-JTSK (EPSG:5514) for better access services Czech users. Data generation was funded by the European Union. Data was produced with funding by the European Union. Copyright Copernicus Programme.

TIFF Dataset is distributed using TIFF. Atom Feed Dataset is distributed using Atom Feed. Esri File Geodatabase Dataset is distributed using Esri File Geodatabase.