Metrics
59 670 Downloads
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

1 051 to 1 060 of 1 066 Results
Unknown - 1,7 MB - MD5: e1666b07fba7e84594fcf039979d67ec
Model output
Unknown - 1,6 MB - MD5: 2f83cdb704e12fc11fd910b6c336fbde
Model output
Comma Separated Values - 73,8 KB - MD5: 8f9fa468408906eefc0deec38ef7f26e
Model input
Tabular Data - 745 B - 1 Variables, 28 Observations - UNF:6:MlRmAfkR65ziyglrmXW4mw==
Model input
Tabular Data - 1,3 KB - 1 Variables, 48 Observations - UNF:6:2el38bkFyKAc7JNftt+bFw==
Model input
Tabular Data - 9,6 KB - 1 Variables, 319 Observations - UNF:6:OOAWW31RjIhMnr1gzjJHAA==
Model input
Tabular Data - 773,7 KB - 1 Variables, 6630 Observations - UNF:6:rww0WEvmS/UFY/+nTWwWLg==
Model input
Tabular Data - 2,4 KB - 1 Variables, 39 Observations - UNF:6:nVL9290S11PQ+ZTSvHhu5g==
Model input
XZ Archive - 46,0 KB - MD5: 13fec02e5fde684b438ff67536c8e57c
GIS data
This compressed folder contains a series of useful vector layers (shapefiles) : - "201910_WPT_TEAM_DEER": point mode layer including geolocalised deer observations. - "LABR zonation": polygonal layer which presents the different types of classification of the LABR Reserve in 2...
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.