European Centre for Research and Teaching in Environmental Geoscience

CEREGE (Centre Européen de Recherche et d’Enseignement de Géosciences de l’Environnement) is a joint research center located in Provence, at the Technopôle Environnement Arbois Méditerranée, Petit Plateau de l’Arbois (Aix-en-Provence, Les Milles) and on the St Charles campus of AMU in Marseille. Thanks to its theoretical, methodological, and technological approaches to research, CEREGE is strongly interdisciplinary.

Research themes
  • Climate
  • Sustainable Environment
  • Earth and Planets
  • Ressources, Réservoirs and Hydrosystems
CEREGE regroups around 130 permanent staff (45 university lecturers and professors, 40 researchers and 45 engineers, technicians, and administrative staff), and 110 temporary staff including around 60 graduate students. CEREGE belongs to OSU-Institut PYTHEAS (Observatoire des Sciences de l’Univers), participates in the research federation ECCOREV (CNRS- INEE), contributes to two operations EQUIPEX : ASTER-CEREGE and NANO-ID, LABEX OT-Med and SERENADE (A*MIDEX).
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

11 to 20 of 41 Results
Plain Text - 3.0 KB - MD5: afde52ae33f3f637b280c937eee3576c
Data
excel spreadsheet saved in tabulated format : S1.6 - Statistics for the different groups of watersheds
Tabular Data - 4.6 KB - 15 Variables, 48 Observations - UNF:6:XwxhxKrrifwRpArBSQbJ0Q==
Data
Supplementary information related to using cosmogenic nuclides (in situ-produced 10Be, 26Al and 36Cl)
Plain Text - 3.3 KB - MD5: 83d93729cc8d4757b04e35b2b0667223
Documentation
Dataset citation, description and table of contents
Adobe PDF - 5.2 MB - MD5: 4f2bc9c2ea1c78a7bd3ec847856188a0
DataDocumentation
Supplementary information for Siame et al. "Natural versus anthropogenically-accelerated erosion in Central Brazil, a confrontation of time and space scales". Submitted to Earth's Future (AGU, Wiley).
Tabular Data - 3.2 KB - 13 Variables, 32 Observations - UNF:6:3j4iiNwEVa47Z77VqlKiKA==
Data
Supplementary tables for Siame et al. "Natural versus anthropogenically-accelerated erosion in Central Brazil, a confrontation of time and space scales". Submitted to Earth's Future (AGU, Wiley). The file includes 12 tables: select "Excel Spreadsheet - Original File Format" to do...
Jupyter Notebook - 8.6 KB - MD5: 48a731c69580534c9dc3435e2b0331f4
Code
This notebook will download raster data (monthly precipitation) in high-resolution (~1x1 km), clip the tropical region and downsample raster at low-resolution (~10x10 km).
Python Source Code - 5.3 KB - MD5: 7b4cb0723bfc35ab6251601c993a94e4
Code
This code will download raster data (monthly precipitation) in high-resolution (~1x1 km), clip the tropical region and downsample raster at low-resolution (~10x10 km).
Jupyter Notebook - 11.5 KB - MD5: 40073efc9b96795aa894a027776558f3
Code
This notebook will download and process (reproject, rasterize, synchronize in HR or LR and encoding) Africa peat shapefiles
Python Source Code - 6.4 KB - MD5: 750b408358fe0d10469db8eb7a728a43
Code
This code will download and process (reproject, rasterize, synchronize in HR or LR and encoding) Africa peat shapefiles
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.