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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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2 datasets found

Wetlands of national importance

Wetlands of national importance based on data published in: Chytil, J. et al. (eds.), 1999: Mokřady České republiky. Přehled vodních a mokřadních lokalit České republiky. Český ramsarský výbor, Mikulov, 327 pp.; © Chytil J. et al. (eds.) 1999, AOPK ČR, 2016. This dataset is not updated.

Conservation and sustainable development of wetlands in the Czech Republic

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

Wetlands of Ramsar Convention

GIS layer of wetlands of international importance designated within the framework of Ramsar Convention in the territory of the Czech Republic based on data published in: Chytil, J. et al. (eds.), 1999: Mokřady České republiky. Přehled vodních a mokřadních lokalit České republiky. Český ramsarský výbor, Mikulov, 327 pp.; © Chytil J. et al. (eds.) 1999, AOPK ČR, 2017

Designation of internationally significant areas of nature, international convention impletion

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.