This dataset is part of GHSL-Arctic, the Arctic edition of the Global Human Settlement Layer. GHS-BUILT-S ARCTIC depicts the distribution of the built-up surface in the Arctic region between 1975 and 2030 in 5-year intervals for two functional use components: ...

This dataset is part of GHSL-Arctic, the Arctic edition of the Global Human Settlement Layer. GHS-SMOD ARCTIC represents the application of the Degree of Urbanisation methodology endorsed by the UN Statistical Commission, for the epochs 1975 to 2030, in 5-year...

This data catalogue contains the generated results for "Generative AI for Epidemiological Information Extraction," comparing in-context learning and fine-tuning with large language models to enhance outbreak data extraction. It includes the generated outputs a...

Dataset containing daily structured information and epidemic knowledge graph (eKG) extracted from WHO Disease Outbreak News related to epidemic events in the context of the ETOHA project: Emerging Health Threats and the One Health Approach

Daily gas demand for EU24 Member States and United Kingdom. The gas demand data for Slovakia are not yet part of the public dataset (they will be published once approved by the Slovakian authorities). Malta gas demand is not included and Cyprus does not have g...

This dataset contains over 22 million news articles mentioning Ukraine and Russia, published between January 2013 and December 2024. It served as the primary input for the publication 'Tracking the Narrative: A Data-Driven Analysis of Media Coverage of Russia ...

European Monitoring of Biodiversity in Agricultural Landscapes (EMBAL) is a project was commissioned by the European Commission’s Directorate-General for Environment (DG ENV). It is a LUCAS-compatible field survey that visits 500 × 500m plots chosen from a 2 ×...

Collection of high resolution datasets at European and global scale, created for the definition of more adequate climatic zones for photovoltaic systems.

This layer provides an early warning of extreme temperature conditions over the world based on accumulated intensity of daily temperature exceedances of the forecast with lead times ranging from 0 to 3 months. These are derived from the forecasted daily maximu...

This layer provides an early warning of extreme temperature conditions over the world based on accumulated intensity of daily temperature exceedances of the forecast with lead times ranging from 0 to 3 months. These are derived from the forecasted daily maximu...

This layer provides an early warning of extreme temperature conditions over the world based on accumulated intensity of daily temperature exceedances of the forecast with lead times ranging from 0 to 3 months. These are derived from the forecasted daily maximu...

This layer provides an early warning of extreme temperature conditions over the world based on accumulated intensity of daily temperature exceedances of the forecast with lead times ranging from 0 to 3 months. These are derived from the forecasted daily maximu...

This layer provides an early warning of extreme temperature conditions over the world based on accumulated intensity of daily temperature exceedances of the forecast with lead times ranging from 0 to 3 months. These are derived from the forecasted daily maximu...

This layer provides an early warning of extreme temperature conditions over the world based on accumulated intensity of daily temperature exceedances of the forecast with lead times ranging from 0 to 3 months. These are derived from the forecasted daily maximu...

This layer provides an early warning of extreme temperature conditions over the world based on accumulated intensity of daily temperature exceedances of the forecast with lead times ranging from 0 to 3 months. These are derived from the forecasted daily maximu...

This layer provides an early warning of extreme temperature conditions over the world based on accumulated intensity of daily temperature exceedances of the forecast with lead times ranging from 0 to 3 months. These are derived from the forecasted daily maximu...

This layer provides an early warning of extreme temperature conditions over the world based on accumulated intensity of daily temperature exceedances of the forecast with lead times ranging from 0 to 3 months. These are derived from the forecasted daily maximu...

This layer provides an early warning of extreme temperature conditions over the world based on accumulated intensity of daily temperature exceedances of the forecast with lead times ranging from 0 to 3 months. These are derived from the forecasted daily maximu...

This layer provides an early warning of extreme temperature conditions over the world based on accumulated intensity of daily temperature exceedances of the forecast with lead times ranging from 0 to 3 months. These are derived from the forecasted daily maximu...