LOTERR - Le Centre de recherche en géographie LOTERR aborde les territoires et leur organisation sous l’angle dynamique de la transition, à différentes échelles temporelles et spatiales. Il regroupe des compétences en géographie physique, géographie humaine et aménagement.
Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

1 to 2 of 2 Results
Mar 28, 2023
Delus, Claire, 2023, "Maximum annual flood series of the Moselle River over the last two centuries (1831-2020)", https://doi.org/10.12763/OO60G4, Université de Lorraine, V1, UNF:6:41ehb2tLvn9p6d5JWpU5bg== [fileUNF]
These files provides maximum annual peak flow series along the Moselle River over the last two centuries (1831-2020) and the different calculation steps that led to these reconstructions.
Mar 18, 2023
Delus, Claire, 2023, "Monthly rainfall and temperature grids - Rhine-Meuse basin - 1860-2019", https://doi.org/10.12763/AZRDRM, Université de Lorraine, V1
A large investigation has been made to compile climate archives into database. This historical climate database encompasses precipitation and temperature observations in the Rhine-Meuse basin. These in situ observations were spatialized to provide monthly precipitation and temper...
Add Data

Log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.