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

1 to 10 of 43 Results
Nov 25, 2023
Thibeaux, Roman; Genthon, Pierre; Selmaoui, Nazha; Kianiu, Maina; Soupé-Gilbert, Marie Estelle; Govan, Rodrigues; Wijesuriya, Kavya; Goarant, Cyrille, 2023, "HYDROTHIEM observatory: pathogenic leptospirosa and hydrological data collected under SPIraL project, 2020-2023", https://doi.org/10.23708/QULXTC, DataSuds, V1, UNF:6:FolHMvw511mmYavc5p8fQA== [fileUNF]
The SPIraL project "Soils, rainfall and leptospirosis", funded by the French National Research Agency (ANR) partly took part in the HYDROTHIEM observatory (eastern tropical coast of New Caledonia, in the South West Pacific) where it was devoted to the relationships between hydrol...
Tabular Data - 1.4 MB - 3 Variables, 52420 Observations - UNF:6:Xc76Bnu3O0jUZnA47kcWfw==
DataTime Series
Water level and discharge at the CAPT station
Tabular Data - 1.2 MB - 4 Variables, 32394 Observations - UNF:6:OeYi/pnXPScyK4Xzwkirhg==
DataTime Series
Backscaterred and sidescaterred turbidity and SMC (suspended matter concentration) at the CAPT station
Tabular Data - 1.9 MB - 2 Variables, 84346 Observations - UNF:6:BS01E25iFYsn0rw82HY6wg==
DataTime Series
Rainfall at the REGEN raingauge (200 m away from CAPT)
Tabular Data - 6.3 KB - 3 Variables, 226 Observations - UNF:6:20ewbVl9za9Mz7huROuAOA==
DataTime Series
Pathogen Leptospira concentration at the CAPT station
JPEG Image - 2.6 MB - MD5: e74f593fbf6553ec4bd110fc74270475
Documentation
Picture from study site: device monitoring during cyclone UESI (02/2020)
Oct 26, 2023 - UMR ESPACE-DEV
Rousset, Guillaume, 2023, "SPOT6 satellite imagery, land cover and land use classification of 5 areas in the South Province of New Caledonia", https://doi.org/10.23708/PHVOJD, DataSuds, V1
5 areas of New Caledonia covered by the SPOT6 satellite are available at 1.5 meters resolution (RGB + PIR), totaling 128,4 km². These 5 areas have been manually segmented and then classified by photo-interpretation according to two types of classification: (i) classification of t...
Unknown - 11.7 MB - MD5: a52be68f03396e97229e2539fa246979
Data
Land Cover classification, 6 classes. Geopackage format. Refer to NC_NomLC.png for details.
Unknown - 11.5 MB - MD5: f4a2951c87c4580e6370124ae5654ce1
Data
Land Use classification, 15 classes. Geopackage format. Refer to NC_NomLU.png for details.
PNG Image - 14.2 KB - MD5: 294e5ccfc702158b5b0bdeab8c2f258e
Documentation
Description of the Land Cover classification (0 for shadows and clouds).
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.