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Collections

Collections are sets of homogeneous datasets (items), broadly identified by the same provider, theme and use case. Note that the scope of the collection could be smaller than the one originally published by the provider

ERA5, ECMWF fifth generation reanalysis
ERA5 is the fifth generation ECMWF reanalysis for the global climate and weather. Data is available from 1940 onwards. we propose a selection of the original data based on the most popular datasets and variables
DestinE Climate Adaptation DT, activity ScenarioMIP, experiment SSP3-7.0, model IFS-NEMO
The DestinE Digital Twin for Climate Change Adaptation (Climate DT) supports adaptation activities through the provision of innovative climate information on multi-decadal timescales, at km-scale resolutions of 5 to 10km.
DestinE Climate Adaptation DT, activity ScenarioMIP, experiment SSP3-7.0, model ICON
The DestinE Digital Twin for Climate Change Adaptation (Climate DT) supports adaptation activities through the provision of innovative climate information on multi-decadal timescales, at km-scale resolutions of 5 to 10km.
Hybrid gridded demographic data for the world
This is a hybrid gridded dataset of demographic data for the world, given as 5-year population bands at a 0.25 degree grid resolution.
Copernicus Digital Elevation Model (DEM)
The Copernicus DEM is a Digital Surface Model (DSM) that represents the surface of the Earth including buildings, infrastructure and vegetation. Data were acquired through the TanDEM-X mission between 2011 and 2015. The datasets were made available for use in 2019 and will be maintained until 2026. We propose a subset of the whole corpus of data based on the most popular datasets.
Copernicus Digital Elevation Model (DEM) UTM / UPS
The Copernicus DEM is a Digital Surface Model (DSM) that represents the surface of the Earth including buildings, infrastructure and vegetation. We propose a subset of the whole corpus of data based on the most popular datasets.

Datasets

Datasets are provided as an URL for a specific Zarr store; different datasets can come from the very same origin but correspond to different chunks optimised for different use cases

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