Metrics
150,989 Downloads
Featured Dataverses

In order to use this feature you must have at least one published or linked 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

161 to 170 of 457 Results
Comma Separated Values - 108.7 KB - MD5: 83b771c0814b7f0ff0a5722f9a897c5a
Données
MHW means and trends coastal Vanuatu
Tabular Data - 10.7 KB - 5 Variables, 115 Observations - UNF:6:cALK3CX6bqUErQuEUsvQ0g==
Données
Coastal points for Wallis and Futuna
PNG Image - 44.3 KB - MD5: 688397ea370e330f30943c252ddc3344
Documentation
Coastal points for Wallis and Futuna
Comma Separated Values - 37.6 KB - MD5: 1318e25c994643e6752016beb40ae0fa
Données
MHW means and trends coastal Wallis and Futuna
Mar 20, 2026 - GTDID - Disparités et Inégalités Doctorales
Faye, Daouda Baldé; Madioune, Éphigénie Mackane; Nguirane, Mouhamadou Mansour; Randrianandrasana, Ravaka Ambinintsoa; Mathieu, Alexandre; Pian, Loïc; Rihi, Yanis; Santini, Soraya, 2026, "DWISE - Doctoral Work and Inequalities in Scientific Ecosystems", https://doi.org/10.23708/ZRDYJU, DataSuds, V1, UNF:6:iCT+bea/oVrWXsUx4wbRVw== [fileUNF]
The DWISE dataset documents the structural endowments shaping doctoral work, with a focus on objective inequalities in resources, institutional support, and research conditions. It is based on an original survey conducted among 98 doctoral candidates from two doctoral schools at...
Comma Separated Values - 36.2 KB - MD5: e7eaa39e9a52e1611ace4e8ea5b412e0
DWISE Variables Dictionary.
Tabular Data - 83.2 KB - 192 Variables, 98 Observations - UNF:6:LsB0efymBkAC9nDz/dve7w==
DWISE data in DTA format.
Gzip Archive - 29.5 KB - MD5: 2ad0a983701f3f1d50ae69c01d541bca
DWISE data in RDS format.
Tabular Data - 88.9 KB - 192 Variables, 98 Observations - UNF:6:YQJbWUM+MMgLxowKvv833w==
Données
DWISE data in CSV format.
Mar 11, 2026 - AMAPVox
Verley, Philippe, 2026, "AMAPVox Source Code", https://doi.org/10.23708/43WFZO, DataSuds, V2
AMAPVox is a LiDAR voxelization software designed for ecological and forestry applications. This dataset provides the source code for AMAPVox, corresponding to the v2.4.2 release (tagged in the AMAPVox repository on the IRD Forge).
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.